Connecting Android apps to Android Auto, Ford Sync and other OEM SDKs. Presentation explores the different options available in the world of Driveables.
This presentation covers the working model about Process, Thread, system call, Memory operations, Binder IPC, and interactions with Android frameworks.
Using and Customizing the Android Framework / part 4 of Embedded Android Work...Opersys inc.
1) The document provides an overview of using and customizing the Android framework, covering topics like kickstarting the framework, utilities and commands, system services internals, and creating custom services.
2) It describes the core building blocks of the framework, like services, Dalvik, and the boot process. It also covers utilities like am, pm, and dumpsys.
3) The document discusses native daemons like servicemanager and installd. It explains how to observe the system server and interact with services programmatically.
This document outlines an introduction to the Android window system presented by Chia-I Wu. It covers the basic building blocks of SurfaceManager, WindowManager, and ActivityManager. It discusses concepts under the hood like process view, zygote, and binder. It also provides guidance on development tools and code areas relevant to understanding the window system.
This document provides an overview of embedded Android. It discusses Android's features, history, ecosystem, legal framework, hardware requirements, and development tools. The document summarizes Android's evolution over time, different Android "flavors" for different device types, the open source nature and licenses of Android code, compatibility testing requirements, and Google's Project Treble which aims to make Android updates easier.
1. The document discusses porting Android to new hardware platforms including kernel configuration, toolchain setup, building system images, and testing on emulators and devices.
2. It provides tips for building the Android platform for specific hardware like EeePC 701 including resolving issues with Google APIs and e2fsprogs.
3. The init process and key system services at startup are outlined like mounting filesystems and starting system server and app processes.
Flutter is an open-source SDK developed by Google that allows building high-performance mobile apps for both Android and iOS from a single codebase. It uses its own rendering engine instead of webviews or native widgets, and has a thin C/C++ layer with most code implemented in Dart. Flutter supports hot reload which allows code changes to take effect instantly without losing app state. It is optimized for building 2D apps and supports features like camera, geolocation, and third-party SDKs.
Android booting sequece and setup and debuggingUtkarsh Mankad
The document summarizes key Android SDK components and concepts in 3 sentences or less:
Android SDK components are organized by functionality and include Activities, Services, BroadcastReceivers, Views, Intents, Adapters, AlertDialogs, Notifications, ContentProviders, and data storage methods. Common data storage options include SharedPreferences, internal storage, external storage, and SQLite databases. The Android booting process involves 6 stages: power on and ROM code execution, boot loader loading, starting the Linux kernel, initiating the init process, launching the Zygote and Dalvik virtual machine, and system server initiation.
The document discusses the Android booting process. It begins with the boot ROM and boot loader which initialize hardware and load the kernel image. The kernel then initializes drivers and loads init, which sets up the environment and mounts partitions. Init starts the zygote process, which preloads classes. System servers like the activity manager and power manager are then started via zygote. Once all servers are running, Android broadcasts an intent to indicate the boot process is complete. The boot sequence involves the bootloader, kernel, init, zygote and system servers working together to start the Android system.
1. The document describes the architecture and communication flow for making requests to the radio interface layer (RIL) in Android.
2. It involves classes like GSMPhone, RIL, RILSender, RILReceiver, and the RILD native process which communicates with the proprietary radio interface library.
3. Requests are sent via asynchronous calls from the phone implementation to RIL, then from RIL to the RILD process which calls the proprietary radio library, and responses return through the same layers back to the original caller.
There is a surge in number of sensors / devices that are getting connected under the umbrella of Internet-Of-Things (IoT). These devices need to be integrated into the Android system and accessed via applications, which is covered in the course. Our Android system development course curriculum over weekends with practicals ensures you learn all critical components to get started.
The default applications on an embedded Linux system include many common command line utilities from BusyBox, such as cat, cp, grep, ls, mkdir, more, mv, ping, ps, rm, top, and vi. BusyBox provides minimal versions of many common UNIX commands in a single executable to reduce the size of the system. Other default applications may include services like bootchartd, crond, and syslogd.
For new age touch-based embedded devices, Android is becoming a popular OS going beyond mobile phones. With its roots from Embedded Linux, Android framework offers benefits in terms of rich libraries, open-source and multi-device support. Emertxe’s hands-on Embedded Android Training Course is designed to customize, build and deploy custom Embedded OS on ARM target. Rich set of projects will make your learning complete.
Android is an open source operating system developed by Google that runs on a variety of devices from phones to tablets. It uses a modified Linux kernel and other open source software. Google purchased Android in 2005 and launched the Open Handset Alliance to develop open standards for mobile devices. Android is designed to be adapted for different hardware configurations and includes features like an app store, notifications, and integration with Google services. It has seen many updates over the years from versions 1.0 to the current version 10.
This document provides an overview of porting Android to new platforms. It discusses the Android software stack, the Android Open Source Project structure, the AOSP code structure, common Android hardware abstraction layers, device configuration files, the AOSP build process, the Android boot process, and Android debugging tools.
binder-for-linux is an experimental project to evaluate the feasibility of porting Android Binder IPC subsystem to Ubuntu Linux.
GitHub: https://github.com/hungys/binder-for-linux
Android boot time optimization involves measuring boot times, analyzing the results, and reducing times. Key areas of focus include the bootloader, kernel initialization, zygote class preloading, and system service startup. Hibernation technologies like QuickBoot and Fast-On can improve resume speeds by saving a system image to flash. The "R-Loader" concept aims to minimize hardware re-initialization on resume by directly loading a suspended kernel image.
Introduction to Android, Architecture & ComponentsVijay Rastogi
Android is an open-source software platform based on the Linux kernel and developed by Google. It consists of Java applications that run in a Dalvik virtual machine. The document discusses the key components of Android including activities, services, content providers, broadcast receivers, intents, notifications, resources, fragments, and widgets. It provides a detailed history of Android versions from 1.0 to 4.3 and their new features. The architecture of Android and how the different application building blocks interact and communicate is also explained.
The document discusses the Android audio system architecture. It is comprised of an Audio Framework layer that includes AudioTrack, AudioRecord and AudioPolicy classes that handle routing audio between apps and the hardware. Below this is the Audio HAL interface that provides read/write functions to the underlying Linux audio driver and hardware. The Audio Flinger manages multiple threads to non-blocking read and write audio data to attached hardware devices. This layered design provides flexibility and handles the real-time audio needs across different Android devices and usage scenarios.
The document discusses building Android Open Source Project (AOSP) software. It describes fetching source code using repo, configuring the build, and building and flashing images to an Android device. Key steps include initializing repo, syncing sources, setting environment variables, choosing a target from the lunch menu, and using make to build binaries, images and flash the device.
This document provides an overview of Android including:
- A brief history of Android and its development by Google and the Open Handset Alliance.
- Explanations of core Android concepts like the application lifecycle, intents, services, and data storage options.
- Descriptions of key Android architecture layers and UI components.
- An overview of different Android versions and their API levels from 1.0 to 7.0 Nougat.
EGL is an interface between Khronos rendering APIs (such as OpenGL and OpenGL ES) and the underlying native platform windowing system. It handles graphics context management, surface/buffer creation and binding, and rendering synchronization. EGL provides mechanisms for creating on-screen and off-screen rendering surfaces and graphics contexts that store OpenGL state. Key EGL functions include eglGetDisplay(), eglInitialize(), eglChooseConfig(), eglCreateWindowSurface(), and eglCreatePbufferSurface().
Binder IPC allows processes to communicate by sharing common interface definitions. A client obtains a local proxy object and invokes methods which are translated to calls on a remote service object via the binder driver. Services register with the ServiceManager and clients obtain remote service objects by name. Calls involve parceling requests into ioctl calls between proxy helpers and remote helpers.
This document provides an overview of Android's HIDL (Hardware Interface Definition Language). It begins with introductions to HIDL's goals of providing versioned hardware interface definitions and how it fits into Android's architecture. It then covers basics like HAL's traditional C-based implementation, HIDL's similarities to AIDL, and links to documentation. The document dives deeper into HIDL's architecture including the JNI, HIDL, and HIDL glue layers. It walks through an example of lights HAL implementation. Finally, it discusses adding a new HIDL interface, the supporting infrastructure, and acknowledges diagram sources.
The document discusses Android containerization using Linux container (LXC) technology. It describes how LXC can be used to run multiple Android instances within containers on a single device. Key points include using Linux namespaces to isolate containers, virtualizing Android devices and binder IPC using namespaces, and challenges around scheduling and resource management with multiple containerized Androids. The document also summarizes some open source projects from ITRI related to containerization and virtualization technologies.
Flutter is an open-source SDK developed by Google that allows building high-performance mobile apps for both Android and iOS from a single codebase. It uses its own rendering engine instead of webviews or native widgets, and has a thin C/C++ layer with most code implemented in Dart. Flutter supports hot reload which allows code changes to take effect instantly without losing app state. It is optimized for building 2D apps and supports features like camera, geolocation, and third-party SDKs.
Android booting sequece and setup and debuggingUtkarsh Mankad
The document summarizes key Android SDK components and concepts in 3 sentences or less:
Android SDK components are organized by functionality and include Activities, Services, BroadcastReceivers, Views, Intents, Adapters, AlertDialogs, Notifications, ContentProviders, and data storage methods. Common data storage options include SharedPreferences, internal storage, external storage, and SQLite databases. The Android booting process involves 6 stages: power on and ROM code execution, boot loader loading, starting the Linux kernel, initiating the init process, launching the Zygote and Dalvik virtual machine, and system server initiation.
The document discusses the Android booting process. It begins with the boot ROM and boot loader which initialize hardware and load the kernel image. The kernel then initializes drivers and loads init, which sets up the environment and mounts partitions. Init starts the zygote process, which preloads classes. System servers like the activity manager and power manager are then started via zygote. Once all servers are running, Android broadcasts an intent to indicate the boot process is complete. The boot sequence involves the bootloader, kernel, init, zygote and system servers working together to start the Android system.
1. The document describes the architecture and communication flow for making requests to the radio interface layer (RIL) in Android.
2. It involves classes like GSMPhone, RIL, RILSender, RILReceiver, and the RILD native process which communicates with the proprietary radio interface library.
3. Requests are sent via asynchronous calls from the phone implementation to RIL, then from RIL to the RILD process which calls the proprietary radio library, and responses return through the same layers back to the original caller.
There is a surge in number of sensors / devices that are getting connected under the umbrella of Internet-Of-Things (IoT). These devices need to be integrated into the Android system and accessed via applications, which is covered in the course. Our Android system development course curriculum over weekends with practicals ensures you learn all critical components to get started.
The default applications on an embedded Linux system include many common command line utilities from BusyBox, such as cat, cp, grep, ls, mkdir, more, mv, ping, ps, rm, top, and vi. BusyBox provides minimal versions of many common UNIX commands in a single executable to reduce the size of the system. Other default applications may include services like bootchartd, crond, and syslogd.
For new age touch-based embedded devices, Android is becoming a popular OS going beyond mobile phones. With its roots from Embedded Linux, Android framework offers benefits in terms of rich libraries, open-source and multi-device support. Emertxe’s hands-on Embedded Android Training Course is designed to customize, build and deploy custom Embedded OS on ARM target. Rich set of projects will make your learning complete.
Android is an open source operating system developed by Google that runs on a variety of devices from phones to tablets. It uses a modified Linux kernel and other open source software. Google purchased Android in 2005 and launched the Open Handset Alliance to develop open standards for mobile devices. Android is designed to be adapted for different hardware configurations and includes features like an app store, notifications, and integration with Google services. It has seen many updates over the years from versions 1.0 to the current version 10.
This document provides an overview of porting Android to new platforms. It discusses the Android software stack, the Android Open Source Project structure, the AOSP code structure, common Android hardware abstraction layers, device configuration files, the AOSP build process, the Android boot process, and Android debugging tools.
binder-for-linux is an experimental project to evaluate the feasibility of porting Android Binder IPC subsystem to Ubuntu Linux.
GitHub: https://github.com/hungys/binder-for-linux
Android boot time optimization involves measuring boot times, analyzing the results, and reducing times. Key areas of focus include the bootloader, kernel initialization, zygote class preloading, and system service startup. Hibernation technologies like QuickBoot and Fast-On can improve resume speeds by saving a system image to flash. The "R-Loader" concept aims to minimize hardware re-initialization on resume by directly loading a suspended kernel image.
Introduction to Android, Architecture & ComponentsVijay Rastogi
Android is an open-source software platform based on the Linux kernel and developed by Google. It consists of Java applications that run in a Dalvik virtual machine. The document discusses the key components of Android including activities, services, content providers, broadcast receivers, intents, notifications, resources, fragments, and widgets. It provides a detailed history of Android versions from 1.0 to 4.3 and their new features. The architecture of Android and how the different application building blocks interact and communicate is also explained.
The document discusses the Android audio system architecture. It is comprised of an Audio Framework layer that includes AudioTrack, AudioRecord and AudioPolicy classes that handle routing audio between apps and the hardware. Below this is the Audio HAL interface that provides read/write functions to the underlying Linux audio driver and hardware. The Audio Flinger manages multiple threads to non-blocking read and write audio data to attached hardware devices. This layered design provides flexibility and handles the real-time audio needs across different Android devices and usage scenarios.
The document discusses building Android Open Source Project (AOSP) software. It describes fetching source code using repo, configuring the build, and building and flashing images to an Android device. Key steps include initializing repo, syncing sources, setting environment variables, choosing a target from the lunch menu, and using make to build binaries, images and flash the device.
This document provides an overview of Android including:
- A brief history of Android and its development by Google and the Open Handset Alliance.
- Explanations of core Android concepts like the application lifecycle, intents, services, and data storage options.
- Descriptions of key Android architecture layers and UI components.
- An overview of different Android versions and their API levels from 1.0 to 7.0 Nougat.
EGL is an interface between Khronos rendering APIs (such as OpenGL and OpenGL ES) and the underlying native platform windowing system. It handles graphics context management, surface/buffer creation and binding, and rendering synchronization. EGL provides mechanisms for creating on-screen and off-screen rendering surfaces and graphics contexts that store OpenGL state. Key EGL functions include eglGetDisplay(), eglInitialize(), eglChooseConfig(), eglCreateWindowSurface(), and eglCreatePbufferSurface().
Binder IPC allows processes to communicate by sharing common interface definitions. A client obtains a local proxy object and invokes methods which are translated to calls on a remote service object via the binder driver. Services register with the ServiceManager and clients obtain remote service objects by name. Calls involve parceling requests into ioctl calls between proxy helpers and remote helpers.
This document provides an overview of Android's HIDL (Hardware Interface Definition Language). It begins with introductions to HIDL's goals of providing versioned hardware interface definitions and how it fits into Android's architecture. It then covers basics like HAL's traditional C-based implementation, HIDL's similarities to AIDL, and links to documentation. The document dives deeper into HIDL's architecture including the JNI, HIDL, and HIDL glue layers. It walks through an example of lights HAL implementation. Finally, it discusses adding a new HIDL interface, the supporting infrastructure, and acknowledges diagram sources.
The document discusses Android containerization using Linux container (LXC) technology. It describes how LXC can be used to run multiple Android instances within containers on a single device. Key points include using Linux namespaces to isolate containers, virtualizing Android devices and binder IPC using namespaces, and challenges around scheduling and resource management with multiple containerized Androids. The document also summarizes some open source projects from ITRI related to containerization and virtualization technologies.
Explains how to install Necessitas (Qt for Android), how to use it, and how to publish to the Android Market. Based on Necessitas 0.3 (3rd alpha)
Slides are from Qt Developer Days 2011 in San Fransisco
Leveraging Android's Linux Heritage at AnDevCon3Opersys inc.
This document discusses leveraging the Linux heritage in Android. It begins with an overview of Android concepts like components, intents, and manifest files. It then compares the overall architecture of a traditional Linux system to Android. Several roadblocks to integration are identified, such as differences in filesystem structure and IPC mechanisms. Potential approaches for coexistence are outlined, such as using a single filesystem or virtualization. Finally, ongoing work and unresolved challenges are acknowledged, such as implementing intents on Linux or running X applications within Android.
The document describes NVIDIA's DRIVE PX 2, an AI supercomputer purpose-built for self-driving cars. It has 12 CPU cores, a Pascal GPU providing 8 TFLOPS of processing power and 24 DL TOPS for deep learning. The DRIVE PX 2 features various interfaces to connect to sensors, displays and development tools. It also includes software like NVIDIA DRIVEWORKS and supports AUTOSAR for automotive software development. The DRIVE PX 2 is designed to help developers create self-driving applications and migrate them from testing to production vehicles.
Neo4j works very well in cloud environments. However, with such variance in compute, network, and storage options, the job of configuring a production database environment is getting complex. In this demo-oriented session, Patrick and David Makogon will introducing straightforward ways to configure and deploy Neo4j with Docker containers, as well as showing how to use automated cloud resource configuration with the new Azure Resource Manager.
Christian Kniep has over 10 years of experience in HPC and automotive industries in Germany. He co-founded a container and cloud workshop at an HPC conference when told HPC could not learn from cloud companies. Since then, he has led DevOps and containerization efforts. He joined Docker Inc in 2017 to help push adoption forward. Walid Shaari is passionate about open source, DevOps, and security. He is a Red Hat Certified Architect and Certified Kubernetes Administrator. He organizes Docker and Ansible meetups as a community leader. The workshop aims to get participants up and running with the containers ecosystem through an informal, interactive format.
For the full video of this presentation, please visit: https://www.edge-ai-vision.com/2022/08/open-standards-powering-the-future-of-embedded-vision-a-presentation-from-the-khronos-group/
Neil Trevett, President of the Khronos Group and Vice President of Developer Ecosystems at NVIDIA, presents the “Open Standards: Powering the Future of Embedded Vision” tutorial at the May 2022 Embedded Vision Summit.
Open standards play an important role in enabling interoperability for efficient deployment of vision-based systems. In this session, Trevett shares an update on the family of Khronos Group standards for programming and deploying accelerated inferencing and embedded vision, including OpenCL, Vulkan Safety Critical, OpenVX, SYCL and NNEF.
Trevett discusses the evolving roadmap for these standards and provides insights to help you understand which standards are relevant to your projects. In addition, he introduces the new Khronos Embedded Camera API initiative. Trevett outlines the technical direction of the Embedded Camera API working group to create an open standard to streamline the integration and control of sophisticated embedded camera systems, and highlights how attendees can participate in this important industry initiative.
This document provides an overview of the Android mobile platform architecture. It describes that Android is based on the Linux kernel with additional enhancements for power management, inter-process communication, and more. It also discusses the Dalvik virtual machine, core libraries, and hardware abstraction layer. Finally, it covers aspects of application development including setting up the manifest, laying out UI with XML, and debugging apps.
LCC17 - Securing Embedded Systems with the Hypervisor - Lars Kurth, CitrixThe Linux Foundation
Lars Kurth is the Community Manager of the Xen Project and Chairman of the Xen Project Advisory Board. He is also the Director of Open Source at Citrix.
The document discusses how Xen can provide security and safety benefits for embedded systems through isolation of guest operating systems and applications using different privilege levels. It also describes how Xen supports real-time workloads and minimizing interrupt latency.
The document shares examples of how Xen is used in various products and projects for aerospace & defense systems, security research, and embedded/industrial applications. It highlights ongoing work to improve standardization and certification.
gVisor, Kata Containers, Firecracker, Docker: Who is Who in the Container Space?ArangoDB Database
View the video of this webinar here: https://www.arangodb.com/arangodb-events/gvisor-kata-containers-firecracker-docker/
Containers* have revolutionized the IT landscape and for a long time. Docker seemed to be the default whenever people were talking about containerization technologies**. But traditional container technologies might not be suitable if strong isolation guarantees are required. So recently new technologies such as gVisor, Kata Container, or firecracker have been introduced to close the gap between the strong isolation of virtual machines and the small resource footprint of containers.
In this talk, we will provide an overview of the different containerization technologies, discuss their tradeoffs, and provide guidance for different use cases.
* We will define the term container in more detailed during the talk
** and yes we will also cover some of the pre-docker container space!
This document discusses Khronos standards for accelerating vision and inferencing. It provides an overview of Khronos initiatives like OpenCL, SYCL, OpenVX, NNEF and SPIR-V which provide portable APIs for parallel programming and hardware acceleration. It describes how these standards enable applications to effectively harness acceleration resources and how the standards work together in machine learning compiler stacks and embedded vision workflows.
Android As a Server- Building Android for the Cloud (AnDevCon SF 2013)Ron Munitz
My session in AnDevcon, November 2011, Burlingame, CA.
In the cloud era, most software projects have shifted from asking "What hardware architecture should be chosen for my back-end?" to "Which cloud configuration should be used for my back-end?" Bringing up a cloud server has become an obvious choice for any Linux or Windows-based deployment. As Android emerges as the new Embedded Linux for a growing number of industries, it only makes sense to consider its cloud application as a server.
In this class, we will discuss why and how Android can be brought on the cloud system, and on any cloud infrastructure, using AWS (Amazon Web Services) as an example.
LEVEL: Intermediate
AUDIENCE: Developer Essentials
For Training/Consulting requests: [email protected]
The document discusses cross-compiling native packages for Android using autotools or cmake. It describes downloading and configuring the Android NDK, which provides cross-compilation tools for ARM, x86, and MIPS architectures. It then gives steps to cross-compile the expat library as an example, including downloading the sources, extracting them, and configuring/building using the autotools system. Key points covered include limitations of the Bionic C library used on Android and associations between Android API levels and supported architectures.
OWF12/PAUG Conf Days Android tools for developpeurs, paul marois, design and ...Paris Open Source Summit
The document provides an overview of several Android developer tools including the emulator, lint, device monitor, adb commands, systrace, traceview, monkey, and more. It discusses features like GPU support and improved CPU performance in the emulator. It also describes how to create custom lint rules and use tools like lint, hierarchyviewer, dumpsys, and systrace to debug apps and analyze app performance and memory usage.
Building Android for the Cloud: Android as a Server (Mobile World Congress 2014)Ron Munitz
My session in the Mobile World Congress WIPJam, Barcelona 2014.
In the cloud era, most software projects have shifted from asking "What hardware architecture should be chosen for my backend?" to "Which cloud configuration should be used for my backend?" Bringing up a cloud server has become an obvious choice for any Linux- or Windows-based deployment. As Android emerges as the new Embedded Linux for a growing number of industries, it only makes sense to consider its cloud application as a server. This session will discuss why and how Android can be brought on the cloud system, and on any cloud infrastructure, using AWS (Amazon Web Services) as an example.
This document provides information about Android developer tools including the emulator, dumpsys, procrank, traceview, systrace, tracer, lint, hprof, MAT, and ddmlib. It discusses capabilities of the emulator such as VM acceleration, GPU acceleration, compatibility across API levels, hardware acceleration benchmarks, scaling, and telnet interface. It also provides examples of using dumpsys, procrank, and ddmlib.
Linux Kernel , BSP, Boot Loader, ARM Engineer - Satish profileSatish Kumar
Satish Kumar has over 11 years of experience in software development and testing with a focus on Linux device driver development and kernel programming. He has worked extensively with MontaVista on kernel maintenance and development for various architectures. Some of his areas of expertise include writing drivers, board bring-up, kernel debugging, and working with ARM SoCs and microcontrollers. He is proficient in C/C++, Linux, and tools like GDB and has experience porting operating systems to different hardware platforms.
Open Kode, Airplay And The New Reality Of Write Once Run Anywhereguest991eb3
A look at OpenKODE, and it's first widespread commercial implementation Airplay. This presentation was given as part of the OverTheAir event on 4th April 08, and included a large portion of "live coding".
Why Orangescrum Is a Game Changer for Construction Companies in 2025Orangescrum
Orangescrum revolutionizes construction project management in 2025 with real-time collaboration, resource planning, task tracking, and workflow automation, boosting efficiency, transparency, and on-time project delivery.
Adobe Master Collection CC Crack Advance Version 2025kashifyounis067
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Adobe Master Collection CC (Creative Cloud) is a comprehensive subscription-based package that bundles virtually all of Adobe's creative software applications. It provides access to a wide range of tools for graphic design, video editing, web development, photography, and more. Essentially, it's a one-stop-shop for creatives needing a broad set of professional tools.
Key Features and Benefits:
All-in-one access:
The Master Collection includes apps like Photoshop, Illustrator, InDesign, Premiere Pro, After Effects, Audition, and many others.
Subscription-based:
You pay a recurring fee for access to the latest versions of all the software, including new features and updates.
Comprehensive suite:
It offers tools for a wide variety of creative tasks, from photo editing and illustration to video editing and web development.
Cloud integration:
Creative Cloud provides cloud storage, asset sharing, and collaboration features.
Comparison to CS6:
While Adobe Creative Suite 6 (CS6) was a one-time purchase version of the software, Adobe Creative Cloud (CC) is a subscription service. CC offers access to the latest versions, regular updates, and cloud integration, while CS6 is no longer updated.
Examples of included software:
Adobe Photoshop: For image editing and manipulation.
Adobe Illustrator: For vector graphics and illustration.
Adobe InDesign: For page layout and desktop publishing.
Adobe Premiere Pro: For video editing and post-production.
Adobe After Effects: For visual effects and motion graphics.
Adobe Audition: For audio editing and mixing.
Not So Common Memory Leaks in Java WebinarTier1 app
This SlideShare presentation is from our May webinar, “Not So Common Memory Leaks & How to Fix Them?”, where we explored lesser-known memory leak patterns in Java applications. Unlike typical leaks, subtle issues such as thread local misuse, inner class references, uncached collections, and misbehaving frameworks often go undetected and gradually degrade performance. This deck provides in-depth insights into identifying these hidden leaks using advanced heap analysis and profiling techniques, along with real-world case studies and practical solutions. Ideal for developers and performance engineers aiming to deepen their understanding of Java memory management and improve application stability.
What Do Contribution Guidelines Say About Software Testing? (MSR 2025)Andre Hora
Software testing plays a crucial role in the contribution process of open-source projects. For example, contributions introducing new features are expected to include tests, and contributions with tests are more likely to be accepted. Although most real-world projects require contributors to write tests, the specific testing practices communicated to contributors remain unclear. In this paper, we present an empirical study to understand better how software testing is approached in contribution guidelines. We analyze the guidelines of 200 Python and JavaScript open-source software projects. We find that 78% of the projects include some form of test documentation for contributors. Test documentation is located in multiple sources, including CONTRIBUTING files (58%), external documentation (24%), and README files (8%). Furthermore, test documentation commonly explains how to run tests (83.5%), but less often provides guidance on how to write tests (37%). It frequently covers unit tests (71%), but rarely addresses integration (20.5%) and end-to-end tests (15.5%). Other key testing aspects are also less frequently discussed: test coverage (25.5%) and mocking (9.5%). We conclude by discussing implications and future research.
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Pixologic ZBrush, now developed by Maxon, is a premier digital sculpting and painting software renowned for its ability to create highly detailed 3D models. Utilizing a unique "pixol" technology, ZBrush stores depth, lighting, and material information for each point on the screen, allowing artists to sculpt and paint with remarkable precision .
Microsoft AI Nonprofit Use Cases and Live Demo_2025.04.30.pdfTechSoup
In this webinar we will dive into the essentials of generative AI, address key AI concerns, and demonstrate how nonprofits can benefit from using Microsoft’s AI assistant, Copilot, to achieve their goals.
This event series to help nonprofits obtain Copilot skills is made possible by generous support from Microsoft.
What You’ll Learn in Part 2:
Explore real-world nonprofit use cases and success stories.
Participate in live demonstrations and a hands-on activity to see how you can use Microsoft 365 Copilot in your own work!
Secure Test Infrastructure: The Backbone of Trustworthy Software DevelopmentShubham Joshi
A secure test infrastructure ensures that the testing process doesn’t become a gateway for vulnerabilities. By protecting test environments, data, and access points, organizations can confidently develop and deploy software without compromising user privacy or system integrity.
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Wondershare Filmora is a video editing software and app designed for both beginners and experienced users. It's known for its user-friendly interface, drag-and-drop functionality, and a wide range of tools and features for creating and editing videos. Filmora is available on Windows, macOS, iOS (iPhone/iPad), and Android platforms.
Discover why Wi-Fi 7 is set to transform wireless networking and how Router Architects is leading the way with next-gen router designs built for speed, reliability, and innovation.
Meet the Agents: How AI Is Learning to Think, Plan, and CollaborateMaxim Salnikov
Imagine if apps could think, plan, and team up like humans. Welcome to the world of AI agents and agentic user interfaces (UI)! In this session, we'll explore how AI agents make decisions, collaborate with each other, and create more natural and powerful experiences for users.
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PDF Reader Pro is a software application, often referred to as an AI-powered PDF editor and converter, designed for viewing, editing, annotating, and managing PDF files. It supports various PDF functionalities like merging, splitting, converting, and protecting PDFs. Additionally, it can handle tasks such as creating fillable forms, adding digital signatures, and performing optical character recognition (OCR).
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How to Batch Export Lotus Notes NSF Emails to Outlook PST Easily?steaveroggers
Migrating from Lotus Notes to Outlook can be a complex and time-consuming task, especially when dealing with large volumes of NSF emails. This presentation provides a complete guide on how to batch export Lotus Notes NSF emails to Outlook PST format quickly and securely. It highlights the challenges of manual methods, the benefits of using an automated tool, and introduces eSoftTools NSF to PST Converter Software — a reliable solution designed to handle bulk email migrations efficiently. Learn about the software’s key features, step-by-step export process, system requirements, and how it ensures 100% data accuracy and folder structure preservation during migration. Make your email transition smoother, safer, and faster with the right approach.
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Designing AI-Powered APIs on Azure: Best Practices& ConsiderationsDinusha Kumarasiri
AI is transforming APIs, enabling smarter automation, enhanced decision-making, and seamless integrations. This presentation explores key design principles for AI-infused APIs on Azure, covering performance optimization, security best practices, scalability strategies, and responsible AI governance. Learn how to leverage Azure API Management, machine learning models, and cloud-native architectures to build robust, efficient, and intelligent API solutions
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TestMigrationsInPy: A Dataset of Test Migrations from Unittest to Pytest (MSR...Andre Hora
Unittest and pytest are the most popular testing frameworks in Python. Overall, pytest provides some advantages, including simpler assertion, reuse of fixtures, and interoperability. Due to such benefits, multiple projects in the Python ecosystem have migrated from unittest to pytest. To facilitate the migration, pytest can also run unittest tests, thus, the migration can happen gradually over time. However, the migration can be timeconsuming and take a long time to conclude. In this context, projects would benefit from automated solutions to support the migration process. In this paper, we propose TestMigrationsInPy, a dataset of test migrations from unittest to pytest. TestMigrationsInPy contains 923 real-world migrations performed by developers. Future research proposing novel solutions to migrate frameworks in Python can rely on TestMigrationsInPy as a ground truth. Moreover, as TestMigrationsInPy includes information about the migration type (e.g., changes in assertions or fixtures), our dataset enables novel solutions to be verified effectively, for instance, from simpler assertion migrations to more complex fixture migrations. TestMigrationsInPy is publicly available at: https://github.com/altinoalvesjunior/TestMigrationsInPy.
Proactive Vulnerability Detection in Source Code Using Graph Neural Networks:...Ranjan Baisak
As software complexity grows, traditional static analysis tools struggle to detect vulnerabilities with both precision and context—often triggering high false positive rates and developer fatigue. This article explores how Graph Neural Networks (GNNs), when applied to source code representations like Abstract Syntax Trees (ASTs), Control Flow Graphs (CFGs), and Data Flow Graphs (DFGs), can revolutionize vulnerability detection. We break down how GNNs model code semantics more effectively than flat token sequences, and how techniques like attention mechanisms, hybrid graph construction, and feedback loops significantly reduce false positives. With insights from real-world datasets and recent research, this guide shows how to build more reliable, proactive, and interpretable vulnerability detection systems using GNNs.
2. 1Copyright 2016 ITRI 工業技術研究院
Outline
❖Preliminaries
❖Android Containerization
➢Isolate/share services among Android instances
❖Linux Kernel, Drivers and Android Binder
❖Window System and Graphics
❖Android X86 Containerization
❖TODOs
❖ICL’s Big Picture - Android as a Service
3. 2Copyright 2016 ITRI 工業技術研究院
Preliminaries
❖ Android Platforms
➢ Nexus 7 with Android 6.X/Kernel 3.4.0
➢ Pixel XL with Android 7.1.X/Kernel 3.18.31
❖ LXC and Other Tools
➢ Built with Android NDK: android-toolchain-arm_64-4.9-android-24
➢ LXC
➢ libcap (https://github.com/abstrakraft/lxc-android-libcap)
• Only libcap is required, built in static (libcap.a)
➢ SELinux
• Using essential Android code base: external/selinux
• libselinux: external/selinux/libselinux
– NOT external/libselinux which is a small port of libselinux for Android framework
• libsepol: external/selinux/libsepol
6. 5Copyright 2016 ITRI 工業技術研究院
Containerization of Android
❖ Android was essentially designed for single instance architecture
❖ In order to better containerized Android, we need to
➢ Refactor essential Android key services architecture design to make it namespace-
aware and sharable among Android containers
➢ Extend the current LXC to support namespace-aware device model and namespace-
aware deriver development
➢ Extend Android virtual devices and drivers to support namespace-awareness
Unified Linux Kernel & Drivers
LXC Container (Cgroups, Namespace)
SELinux
Virtual Device
Drivers
Host Android
Shared
Framework
Services
Service Manager Surface Flinger
Camera
LXCTools
Virtual
Devices
binder RIL
alarm
….
Netfilter,
Virtual Ethernet Bridging
iptables
Power Mgmt. ….
Android 1 Android 2
Audio Sensors
8. 7Copyright 2016 ITRI 工業技術研究院
Isolate/Share Services among
Android Containers
❖ Refactoring essential Android binder architecture design to
enable isolate/share services among Android instances
➢ Namespace-aware IPC binder (Inspired by Container Virtualization
Adapted to Android @浙江大学计算机系统结构实验室)
➢ Reduce the total # of Linux process
➢ Can be configured which services to be shared
➢ Caller is aware of the container ID of callee
Linux Kernel + LXC + Drivers
Virtual Devicesbinder 1 binder n
Linux Kernel + LXC + Drivers
Virtual Devices namespace-awarebinder
Shared service invocation
Unshared service invocation
Before After
10. 9Copyright 2016 ITRI 工業技術研究院
Virtual Binder Driver
Lei Xu, Wenzhi Chen, Zonghui Wang, Guoxi Li, Chuan Li, Weijie Sun, Condroid:A Container-Based
Virtualization SolutionAdapted forAndroid Devices , Proceedings of IEEE International Conference onMobile
Cloud Computing, Services, and Engineering, 2015
Real
binder
driver
Host
Service
Manager
SHARED
11. 10Copyright 2016 ITRI 工業技術研究院
Android Virtual Binder Architecture
Service
Manager
Service App
Host
Service App
Container1
Service App
Container2
/dev/binder /dev/virtualbinder1 /dev/virtualbinder2
Virtual Binder Driver
Real Binder Deriver
Linux Kernel
12. 11Copyright 2016 ITRI 工業技術研究院
Virtual Devices and their Drivers
❖ Device Namespaces : namespace aware device driver (inspired by
Cells proj. @ Columbia University)
➢ Stateful/Statelessdevice driver, stateful devices, like alarm device, the
state of different namespaces must be maintained
❖ AlarmManagerService
➢ alarm-dev driver has been removed in Android Nougat, the functionality
provided by the Android alarm-dev driver should now be present in the
timerfd interface
➢ com_android_server_AlarmManagerService.cpp
static const clockid_t android_alarm_to_clockid[N_ANDROID_TIMERFDS]
• CLOCK_REALTIME_ALARM (since Linux 3.11)
• CLOCK_REALTIME
• CLOCK_BOOTTIME_ALARM (since Linux 3.11)
• CLOCK_BOOTTIME (since Linux 3.15)
• CLOCK_MONOTONIC
• CLOCK_REALTIME
Linux Kernel + LXC + Drivers
Virtual Devices alarm- dev
Android 1 Android n
State1 Staten
14. 13Copyright 2016 ITRI 工業技術研究院
Share or Not to Share
SurfaceFlinger/WindowManager
❖浙江大学计算机系统结构实验室
➢Share both SurfaceFlinger and Window
Manager
➢Maintains different z-order range for different
containers
Linux Kernel + LXC + Drivers
Surface Flinger buffer
Host Android
Shared
Framework
Services
Surface Flinger
Window Manager
15. 14Copyright 2016 ITRI 工業技術研究院
Share or Not to Share
SurfaceFlinger/WindowManager (2)
❖ICL Approach
➢Window Manager in each container
➢Single SurfaceFlinger instance on host
• Maintains list of Layers of different Android containers
• Groups Layers according to their container ID
Linux Kernel + LXC + Drivers
Surface Flinger buffer
Host Android
Shared Framework
Services Surface Flinger
Window Manager
Android n
Window Manager
16. 15Copyright 2016 ITRI 工業技術研究院
Display Switching between Containers
• Layers of different Android
containers in SurfaceFlinger
• SurfaceFlinger groups layers
according to their container
ID
Assign layers of host container to
layersSortedByZ of primary display
primary display
compose
Assign layers of container 1 to
layersSortedByZ of primary display
primary display
compose
22. 21Copyright 2016 ITRI 工業技術研究院
Multiple instances of SurfaceFlinger
Can there be multiple surfaceflinger(s) ?
This implies to a second question : is gpu / driver
(drm) shareable for gui(s) ? void SurfaceFlinger::doComposition()
{
….pseudo code…
FOR EACH DISPLAY i
IF DISPLAY_ON( i )
IF (i) == MAIN_DISPLAY AND byte 1 of
“/data/surfaceflinger/control” is Zero
GOTO END
r = GET_DIRTY_REGION
DO_DISPLAY_COMPOSITION(r)
DIRTY_REGION_CLEAR()
HARDWARE_FLIP()
ENDIF
NOTITY_HARDWARE_COMPOSITION_
COMPLETE()
ENDFOR
POST_FRAMEBUFFER()
LABEL END
}
Kernel
Display
Driver
GPU
Driver
Graphic
Driver
Container
... ...
OpenGL
ES
Surface-
flinger
Windows-
Manager
Hw Comp
oser
Container
... ...
OpenGL
ES
Surface-
flinger
Windows-
Manager
Hw Comp
oser
Container
... ...
OpenGL
ES
Surface-
flinger
Windows-
Manager
Hw Comp
oser
23. 22Copyright 2016 ITRI 工業技術研究院
Static /dev
I want in each container servicemanager connect (open)
/dev/binder (not /dev/binde1, /dev/binder2 , etc)
/dev/ was mounted tmpfs, how about make it static?
Container1
Servic
e
Manag
er
... APP
/dev/binder
Kernel
/dev/binder1
Container2
Servic
e
Manag
er
... APP
/dev/binder
/dev/binder2
mknod /data/con1/rootfs/dev/binder 57 0
mknod /data/con2/rootfs/dev/binder 58 0
##host /dev/binder major number 56
##host /dev/binder1 major number 57
##host /dev/binder2 major number 58
int main(int argc, char **argv)
{
int fd_count= 0;
struct pollfdufds[4];
char *tmpdev;
char* debuggable;
char tmp[32];
int property_set_fd_init = 0;
int signal_fd_init = 0;
int keychord_fd_init = 0;
bool is_charger = false;
char initrc_path[PROP_VALUE_MAX];
/* If we are calledas'modprobe' command, we run asa
* standaloneexecutable andreuse ueventd'slogic to do
the job.
*/
if (strstr(argv[0], "modprobe"))
return modprobe_main(argc, argv);
if (!strcmp(basename(argv[0]), "ueventd"))
return ueventd_main(argc,argv);
if (!strcmp(basename(argv[0]), "watchdogd"))
return watchdogd_main(argc, argv);
/* clear the umask*/
umask(0);
/* Get the basic filesystem setup we needput
* together in theinitramdiskon / and then we'll
* let the rc filefigureout therest.
*/
mkdir("/dev",0755);
mkdir("/proc", 0755);
mkdir("/sys", 0755);
#if STATIC_DEV
printf(">>>>>skip mount/devn");
#else
mount("tmpfs", "/dev", "tmpfs", MS_NOSUID,
"mode=0755");
#endif
mkdir("/dev/pts", 0755);
mkdir("/dev/socket", 0755);
#if STATIC_DEV
printf(">>>>>skip mount/dev/ptsn"); //use lxc's
/dev/ptsinstead
#else
mount("devpts", "/dev/pts", "devpts", 0, NULL);
#endif
mount("proc", "/proc","proc", 0, NULL);
mount("sysfs", "/sys", "sysfs", 0, NULL);
24. 23Copyright 2016 ITRI 工業技術研究院
Exploit (kernel) memory
Android-x86_5.1 is defaultly 32bits build
As a server, install 16g RAM and enable kernel option
‘HIMEM_64G’...
The OOM killer be called even when there is still plenty of
memory available <0>[ 331.441013]
lowmem_reserve[]: 0 0 0 0” and then
Out-of-memory invoked
<3>[ 2839.557148] binder4:
binder_mmap: 6382 adf02000-
ae000000 get_vm_area failed -12
<4>[ 2859.865885] vmap allocation
for size 1044480 failed
Recipe - In bootloader’s booting
parameter, add vmalloc=512MB
<6>[ 0.000000] vmalloc :
0xdfbfe000 - 0xffbfe000 ( 512 MB)
25. 24Copyright 2016 ITRI 工業技術研究院
Camera HAL
Besides virtualizing native linux device , it’s necessary to
virtualize android HAL
I want take a error on arm device as an example
02-18 02:52:31.744 24 24 I CameraService: Loaded"QCamera Module" camera module^M
02-18 02:52:31.744 24 24 E mm-camera-intf:mm_camera_open: dev name= /dev/video1, cam_idx = 1^M
02-18 02:52:31.941 24 24 E mm-camera-intf:mm_camera_open: opened, breakout while loop^M
02-18 02:52:31.941 24 24 E mm-camera-intf:mm_camera_socket_create: socket_fd=-1 No such fileor directory
^M
02-18 02:52:31.969 24 24 E mm-camera-intf:mm_camera_socket_create: socket_fd=-1 No such fileor directory
^M
02-18 02:52:31.970 24 24 E mm-camera-intf:mm_camera_open: cannot opendomain socket fd of
'/dev/video1'(No such fileor directory)^M
02-18 02:52:32.029 24 24 E mm-camera-intf:camera_open: mm_camera_open err = -1^M
02-18 02:52:32.029 24 24 E QCamera3HWI:static int
qcamera::QCamera3HardwareInterface::initCapabilities(int): camera_open failed^M
02-18 02:52:32.033 24 24 E CameraFlashlight: createFlashlightControl: failed to get camerainfo for camera0^M
02-18 02:52:32.033 24 24 E CameraFlashlight: findFlashUnits: failedto createflash control for 0^M
02-18 02:52:32.033 24 24 E mm-camera-intf:mm_camera_open: dev name= /dev/video2, cam_idx = 2^M
02-18 02:52:32.597 24 24 E mm-camera-intf:mm_camera_open: opened, breakout while loop^M
02-18 02:52:32.597 24 24 E mm-camera-intf:mm_camera_socket_create: socket_fd=-1 No such fileor directory
^M
02-18 02:52:32.619 24 24 E mm-camera-intf:mm_camera_socket_create: socket_fd=-1 No such fileor directory
^M
02-18 02:52:32.628 24 24 E mm-camera-intf:mm_camera_open: cannot opendomain socket fd of
'/dev/video2'(No such fileor directory)^M
02-18 02:52:32.874 24 24 E mm-camera-intf:camera_open: mm_camera_open err = -1^M
02-18 02:52:32.874 24 24 E QCamera3HWI:static int
qcamera::QCamera3HardwareInterface::initCapabilities(int): camera_open failed^M
02-18 02:52:32.874 24 24 E CameraFlashlight: createFlashlightControl: failed to get camerainfo for camera1^M
02-18 02:52:32.874 24 24 E CameraFlashlight: findFlashUnits: failedto createflash control for 1^M
27. 26Copyright 2016 ITRI 工業技術研究院
TODOs
❖Power Management
➢To share or not to share PowerManagerService
❖Activity Manager Service
❖Low Memory Killer
❖SELinux
➢To further isolate host and containers
❖SEE (Secure Execution Environment)
Integration
➢vold and Qualcomm SEE issues
➢DRM
28. 27Copyright 2016 ITRI 工業技術研究院
Android-X86
ICL is constructing the first cost-effective
APP streaming cloud infrastructure,
consisting of
❖ Low latency audio/video streaming services
❖ Scalable & cost-effective virtual/physical
smartphone pool
➢Android-X86 virtual smartphones
➢Cost-effective smartphone SOC cluster server
➢Containerized Android doubles/triples the
Android instances density of per U chassis
❖ BMC management software
➢H/W & S/W deployment automation
❖ APP Streaming Service Management
CPU CPU
CPU CPU
CPU CPU
CPU CPU
4 GB
8GB
4 GB
8GB
ICL’s Big Picture - Android as a Service
29. 28Copyright 2016 ITRI 工業技術研究院
Google group: Android-x86
http://groups.google.com/group/android-x86
IRC channel at irc.freenode.net
#android-x86