Distributed Mutual Exclusion and Distributed Deadlock DetectionSHIKHA GAUTAM
This document summarizes key concepts related to distributed mutual exclusion and distributed deadlock detection. It discusses classification of distributed mutual exclusion algorithms into token-based and non-token-based approaches. For distributed mutual exclusion, it describes Lamport's algorithm, Ricart-Agrawala algorithm, Maekawa's quorum-based algorithm, and Suzuki-Kasami's token-based broadcast algorithm. It also discusses requirements for mutual exclusion such as freedom from deadlock and starvation. For distributed deadlock detection, it mentions the system model and types of deadlocks as well as approaches for prevention, avoidance, detection, and resolution of deadlocks.
This document outlines the syllabus for a course on professional ethics in engineering. It covers 5 units: human values, engineering ethics, engineering as social experimentation, safety responsibilities and rights, and global issues. Unit 1 discusses human values like integrity, work ethic, service learning, and caring. It also introduces concepts like morals, values, and ethics.
This presentation deals with pure object oriented concepts and defines basic principles of OOP's like Encapsulation , polymorphism , Inheritance and Abstraction.
This document discusses zoning and its objectives. Zoning is the process by which a local government allocates land uses and establishes restrictions for things like building heights and densities. The objectives of zoning are to promote the common good, make town planning schemes effective, coordinate public amenities, and control growth. There are different types of zoning like functional, form-based, intensity, and incentive zoning. Zoning aspects covered include density, heights, and use zones like residential, commercial, and industrial. Advantages are listed as promoting health, safety, prosperity, and orderly development.
Trends in distributed systems include the emergence of pervasive technology, ubiquitous and mobile computing, increasing demand for multimedia, and viewing distributed systems as a utility. These trends have led to modern networks consisting of interconnected wired and wireless devices that can connect from any location. Mobile and ubiquitous computing allow small portable devices to connect to distributed systems from different places. Distributed multimedia systems enable accessing content like live broadcasts from desktops and mobile devices. Distributed systems are also seen as a utility with physical and logical resources rented rather than owned, such as with cloud computing which provides internet-based applications and services on demand.
Hashing is a technique used to uniquely identify objects by assigning each object a key, such as a student ID or book ID number. A hash function converts large keys into smaller keys that are used as indices in a hash table, allowing for fast lookup of objects in O(1) time. Collisions, where two different keys hash to the same index, are resolved using techniques like separate chaining or linear probing. Common applications of hashing include databases, caches, and object representation in programming languages.
- A state space consists of nodes representing problem states and arcs representing moves between states. It can be represented as a tree or graph.
- To solve a problem using search, it must first be represented as a state space with an initial state, goal state(s), and legal operators defining state transitions.
- Different search algorithms like depth-first, breadth-first, A*, and best-first are then applied to traverse the state space to find a solution path from initial to goal state.
- Heuristic functions can be used to guide search by estimating state proximity to the goal, improving efficiency over uninformed searches.
Ruby Programming Language - IntroductionKwangshin Oh
Ruby is an interpreted, object-oriented, and dynamically typed programming language. It was created in the 1990s by Yukihiro Matsumoto to enhance programmer productivity and have fun. Some key aspects include everything being an object, duck typing where objects are identified by their methods/attributes rather than type, and a focus on simplicity, readability, and productivity for programmers.
Clock synchronization in distributed systemSunita Sahu
This document discusses several techniques for clock synchronization in distributed systems:
1. Time stamping events and messages with logical clocks to determine partial ordering without a global clock. Logical clocks assign monotonically increasing sequence numbers.
2. Clock synchronization algorithms like NTP that regularly adjust system clocks across the network to synchronize with a time server. NTP uses averaging to account for network delays.
3. Lamport's logical clocks algorithm that defines "happened before" relations and increments clocks between events to synchronize logical clocks across processes.
Importance & Principles of Modeling from UML DesigningABHISHEK KUMAR
Object oriented analysis and design uses modeling to understand systems being developed. Models simplify systems at different abstraction levels to visualize structure and behavior, provide templates for building systems, and document decisions. Effective modeling requires choosing appropriate models that influence solutions, expressing models at different abstraction levels for different stakeholders, ensuring models are grounded in reality, and using multiple complementary models to solve complex systems.
Agreement Protocols, Distributed Resource Management: Issues in distributed File Systems, Mechanism for building distributed file systems, Design issues in Distributed Shared Memory, Algorithm for Implementation of Distributed Shared Memory.
Distributed system lamport's and vector algorithmpinki soni
Logical clocks are mechanisms for capturing chronological and causal relationships in distributed systems that lack a global clock. Some key logical clock algorithms are Lamport's timestamps and vector clocks. Lamport's timestamps assign monotonically increasing numbers to events, while vector clocks allow for partial ordering of events. The algorithms for Lamport's timestamps and vector clocks involve incrementing and propagating clock values to determine causal relationships between events in a distributed system.
Message and Stream Oriented CommunicationDilum Bandara
Message and Stream Oriented Communication in distributed systems. Persistent vs. Transient Communication. Event queues, Pub/sub networks, MPI, Stream-based communication, Multicast communication
The document discusses key concepts related to distributed file systems including:
1. Files are accessed using location transparency where the physical location is hidden from users. File names do not reveal storage locations and names do not change when locations change.
2. Remote files can be mounted to local directories, making them appear local while maintaining location independence. Caching is used to reduce network traffic by storing recently accessed data locally.
3. Fault tolerance is improved through techniques like stateless server designs, file replication across failure independent machines, and read-only replication for consistency. Scalability is achieved by adding new nodes and using decentralized control through clustering.
The document discusses various clustering approaches including partitioning, hierarchical, density-based, grid-based, model-based, frequent pattern-based, and constraint-based methods. It focuses on partitioning methods such as k-means and k-medoids clustering. K-means clustering aims to partition objects into k clusters by minimizing total intra-cluster variance, representing each cluster by its centroid. K-medoids clustering is a more robust variant that represents each cluster by its medoid or most centrally located object. The document also covers algorithms for implementing k-means and k-medoids clustering.
The document discusses various algorithms for achieving distributed mutual exclusion and process synchronization in distributed systems. It covers centralized, token ring, Ricart-Agrawala, Lamport, and decentralized algorithms. It also discusses election algorithms for selecting a coordinator process, including the Bully algorithm. The key techniques discussed are using logical clocks, message passing, and quorums to achieve mutual exclusion without a single point of failure.
The document discusses AND/OR graphs, which are a type of graph or tree used to represent solutions to problems that can be decomposed into smaller subproblems. AND/OR graphs have nodes that represent goals or states, with successors labeled as either AND or OR branches. AND branches signify subgoals that must all be achieved to satisfy the parent goal, while OR branches indicate alternative subgoals that could achieve the parent goal. The graph helps model how decomposed subproblems relate and their solutions combine to solve the overall problem.
A Distributed File System(DFS) is simply a classical model of a file system distributed across multiple machines.The purpose is to promote sharing of dispersed files.
About Naming Concepts in Distributed systems.
More about its services, its types & the approaches of implementation for Name Space & Name Resolution and Locating Entities Approaches with example diagrams.
Deadlocks-An Unconditional Waiting Situation in Operating System. We must make sure of This concept well before understanding deep in to Operating System. This PPT will understands you to get how the deadlocks Occur and how can we Detect, avoid and Prevent the deadlocks in Operating Systems.
In transaction processing, databases, and computer networking, the two-phase commit protocol (2PC) is a type of atomic commitment protocol (ACP). ... The protocol achieves its goal even in many cases of temporary system failure (involving either process, network node, communication, etc. failures), and is thus widely used.
This document discusses software architecture from both a management and technical perspective. From a management perspective, it defines an architecture as the design concept, an architecture baseline as tangible artifacts that satisfy stakeholders, and an architecture description as a human-readable representation of the design. It also notes that mature processes, clear requirements, and a demonstrable architecture are important for predictable project planning. Technically, it describes Philippe Kruchten's model of software architecture, which includes use case, design, process, component, and deployment views that model different aspects of realizing a system's design.
RPC allows a program to call a subroutine that resides on a remote machine. When a call is made, the calling process is suspended and execution takes place on the remote machine. The results are then returned. This makes the remote call appear local to the programmer. RPC uses message passing to transmit information between machines and allows communication between processes on different machines or the same machine. It provides a simple interface like local procedure calls but involves more overhead due to network communication.
Concurrency Control in Distributed Database.Meghaj Mallick
The document discusses various techniques for concurrency control in distributed databases, including locking-based protocols and timestamp-based protocols. Locking-based protocols use exclusive and shared locks to control concurrent access to data items. They can be implemented using a single or distributed lock manager. Timestamp-based protocols assign each transaction a unique timestamp to determine serialization order and manage concurrent execution.
This document discusses different distributed computing system (DCS) models:
1. The minicomputer model consists of a few minicomputers with remote access allowing resource sharing.
2. The workstation model consists of independent workstations scattered throughout a building where users log onto their home workstation.
3. The workstation-server model includes minicomputers, diskless and diskful workstations, and centralized services like databases and printing.
It provides an overview of the key characteristics and advantages of different DCS models.
Introduction: What is clock synchronization?
The challenges of clock synchronization.
Basic Concepts: Software and hardware clocks. Basic clock synchronization algorithm
Algorithms: Deep dive into landmark papers
NTP: Internet scale time synchronization
The document discusses several algorithms for process synchronization and mutual exclusion in distributed systems:
- Token ring algorithm passes an exclusive token around a logical ring of processes to control access to shared resources.
- Ricart-Agrawala algorithm uses message ordering and timestamps to elect a process to enter the critical section.
- Lamport's mutual exclusion algorithm uses request queues and timestamps to ensure only one process is in the critical section at a time.
- Election algorithms like the Bully and Ring algorithms elect a coordinator process to handle synchronization and recovery from failures.
Clock synchronization in distributed systemSunita Sahu
This document discusses several techniques for clock synchronization in distributed systems:
1. Time stamping events and messages with logical clocks to determine partial ordering without a global clock. Logical clocks assign monotonically increasing sequence numbers.
2. Clock synchronization algorithms like NTP that regularly adjust system clocks across the network to synchronize with a time server. NTP uses averaging to account for network delays.
3. Lamport's logical clocks algorithm that defines "happened before" relations and increments clocks between events to synchronize logical clocks across processes.
Importance & Principles of Modeling from UML DesigningABHISHEK KUMAR
Object oriented analysis and design uses modeling to understand systems being developed. Models simplify systems at different abstraction levels to visualize structure and behavior, provide templates for building systems, and document decisions. Effective modeling requires choosing appropriate models that influence solutions, expressing models at different abstraction levels for different stakeholders, ensuring models are grounded in reality, and using multiple complementary models to solve complex systems.
Agreement Protocols, Distributed Resource Management: Issues in distributed File Systems, Mechanism for building distributed file systems, Design issues in Distributed Shared Memory, Algorithm for Implementation of Distributed Shared Memory.
Distributed system lamport's and vector algorithmpinki soni
Logical clocks are mechanisms for capturing chronological and causal relationships in distributed systems that lack a global clock. Some key logical clock algorithms are Lamport's timestamps and vector clocks. Lamport's timestamps assign monotonically increasing numbers to events, while vector clocks allow for partial ordering of events. The algorithms for Lamport's timestamps and vector clocks involve incrementing and propagating clock values to determine causal relationships between events in a distributed system.
Message and Stream Oriented CommunicationDilum Bandara
Message and Stream Oriented Communication in distributed systems. Persistent vs. Transient Communication. Event queues, Pub/sub networks, MPI, Stream-based communication, Multicast communication
The document discusses key concepts related to distributed file systems including:
1. Files are accessed using location transparency where the physical location is hidden from users. File names do not reveal storage locations and names do not change when locations change.
2. Remote files can be mounted to local directories, making them appear local while maintaining location independence. Caching is used to reduce network traffic by storing recently accessed data locally.
3. Fault tolerance is improved through techniques like stateless server designs, file replication across failure independent machines, and read-only replication for consistency. Scalability is achieved by adding new nodes and using decentralized control through clustering.
The document discusses various clustering approaches including partitioning, hierarchical, density-based, grid-based, model-based, frequent pattern-based, and constraint-based methods. It focuses on partitioning methods such as k-means and k-medoids clustering. K-means clustering aims to partition objects into k clusters by minimizing total intra-cluster variance, representing each cluster by its centroid. K-medoids clustering is a more robust variant that represents each cluster by its medoid or most centrally located object. The document also covers algorithms for implementing k-means and k-medoids clustering.
The document discusses various algorithms for achieving distributed mutual exclusion and process synchronization in distributed systems. It covers centralized, token ring, Ricart-Agrawala, Lamport, and decentralized algorithms. It also discusses election algorithms for selecting a coordinator process, including the Bully algorithm. The key techniques discussed are using logical clocks, message passing, and quorums to achieve mutual exclusion without a single point of failure.
The document discusses AND/OR graphs, which are a type of graph or tree used to represent solutions to problems that can be decomposed into smaller subproblems. AND/OR graphs have nodes that represent goals or states, with successors labeled as either AND or OR branches. AND branches signify subgoals that must all be achieved to satisfy the parent goal, while OR branches indicate alternative subgoals that could achieve the parent goal. The graph helps model how decomposed subproblems relate and their solutions combine to solve the overall problem.
A Distributed File System(DFS) is simply a classical model of a file system distributed across multiple machines.The purpose is to promote sharing of dispersed files.
About Naming Concepts in Distributed systems.
More about its services, its types & the approaches of implementation for Name Space & Name Resolution and Locating Entities Approaches with example diagrams.
Deadlocks-An Unconditional Waiting Situation in Operating System. We must make sure of This concept well before understanding deep in to Operating System. This PPT will understands you to get how the deadlocks Occur and how can we Detect, avoid and Prevent the deadlocks in Operating Systems.
In transaction processing, databases, and computer networking, the two-phase commit protocol (2PC) is a type of atomic commitment protocol (ACP). ... The protocol achieves its goal even in many cases of temporary system failure (involving either process, network node, communication, etc. failures), and is thus widely used.
This document discusses software architecture from both a management and technical perspective. From a management perspective, it defines an architecture as the design concept, an architecture baseline as tangible artifacts that satisfy stakeholders, and an architecture description as a human-readable representation of the design. It also notes that mature processes, clear requirements, and a demonstrable architecture are important for predictable project planning. Technically, it describes Philippe Kruchten's model of software architecture, which includes use case, design, process, component, and deployment views that model different aspects of realizing a system's design.
RPC allows a program to call a subroutine that resides on a remote machine. When a call is made, the calling process is suspended and execution takes place on the remote machine. The results are then returned. This makes the remote call appear local to the programmer. RPC uses message passing to transmit information between machines and allows communication between processes on different machines or the same machine. It provides a simple interface like local procedure calls but involves more overhead due to network communication.
Concurrency Control in Distributed Database.Meghaj Mallick
The document discusses various techniques for concurrency control in distributed databases, including locking-based protocols and timestamp-based protocols. Locking-based protocols use exclusive and shared locks to control concurrent access to data items. They can be implemented using a single or distributed lock manager. Timestamp-based protocols assign each transaction a unique timestamp to determine serialization order and manage concurrent execution.
This document discusses different distributed computing system (DCS) models:
1. The minicomputer model consists of a few minicomputers with remote access allowing resource sharing.
2. The workstation model consists of independent workstations scattered throughout a building where users log onto their home workstation.
3. The workstation-server model includes minicomputers, diskless and diskful workstations, and centralized services like databases and printing.
It provides an overview of the key characteristics and advantages of different DCS models.
Introduction: What is clock synchronization?
The challenges of clock synchronization.
Basic Concepts: Software and hardware clocks. Basic clock synchronization algorithm
Algorithms: Deep dive into landmark papers
NTP: Internet scale time synchronization
The document discusses several algorithms for process synchronization and mutual exclusion in distributed systems:
- Token ring algorithm passes an exclusive token around a logical ring of processes to control access to shared resources.
- Ricart-Agrawala algorithm uses message ordering and timestamps to elect a process to enter the critical section.
- Lamport's mutual exclusion algorithm uses request queues and timestamps to ensure only one process is in the critical section at a time.
- Election algorithms like the Bully and Ring algorithms elect a coordinator process to handle synchronization and recovery from failures.
Logical clocks are mechanisms for capturing chronological and causal relationships in distributed systems. Lamport introduced logical clocks using timestamps assigned to events to define a "happens before" relation between events. Vector clocks extend logical timestamps to capture causality more accurately by maintaining a vector of timestamps, with one entry per process. Matrix clocks further extend this idea by maintaining a matrix to represent processes' knowledge of other processes' logical clocks.
Logical clocks assign sequence numbers to distributed system events to determine causality without a global clock. Lamport's algorithm uses logical clocks to impose a partial ordering on events. Vector clocks extend this to also detect concurrent events that are not causally related, providing a full happened-before relation between all events. Each process maintains a vector clock that is incremented after local events and updated when receiving messages from other processes.
Physical clocks use quartz crystals or atomic vibrations to keep time, but they drift over time. Clock synchronization protocols like NTP and SNTP allow networked devices to regularly adjust their clocks to account for drift by requesting the time from authoritative time servers. They apply algorithms like Cristian's to compensate for network latency, setting the local clock to the average of the reported server time and round-trip delay time to minimize errors from network variability.
This document discusses methods for solving first order non-linear partial differential equations. It defines ordinary and partial differential equations, and describes four standard forms for first order partial differential equations: 1) equations not involving independent variables, 2) equations reducible to standard form through change of variables, 3) separable equations, and 4) Clairaut's form where the equation can be written as z = px + qy + f(p,q). Examples are provided for each method. Partial differential equations have applications in fields like fluid mechanics, heat transfer, and electromagnetism. The main applications discussed are the heat, wave, and Laplace equations.
This document discusses several algorithms for achieving distributed mutual exclusion across multiple processes. It begins by describing the client-server approach, noting its simplicity but single point of failure. It then covers Lamport's algorithm using message passing with timestamps. Subsequent sections analyze Ricart-Agrawala's algorithm and Maekawa's algorithm, both improving on Lamport. The document concludes by briefly discussing token-based and shared memory algorithms like Peterson's algorithm.
This document summarizes an algorithm for distributed mutual exclusion. It discusses three main approaches: token-based, non-token based, and quorum-based. It then describes Lamport's token-based algorithm in detail, including how it ensures mutual exclusion and fairness. It analyzes the performance and correctness of Lamport's algorithm and an optimization. It also summarizes the Ricart-Agrawala and Singhal's dynamic algorithms for distributed mutual exclusion.
The document discusses various algorithms for distributed mutual exclusion including Lamport's algorithm, Ricart-Agrawala algorithm, quorum-based algorithms like Maekawa's algorithm, and token-based algorithms like Suzuki-Kasami's broadcast algorithm. It describes the system model, requirements, and performance metrics for distributed mutual exclusion algorithms and provides details about how several classic algorithms work.
Beyond the Query – Bringing Complex Access Patterns to NoSQL with DataStax - ...StampedeCon
Learn how to model beyond traditional direct access in Apache Cassandra. Utilizing the DataStax platform to harness the power of Spark and Solr to perform search, analytics, and complex operations in place on your Cassandra data!
How "·$% developers defeat the web vulnerability scannersChema Alonso
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How "·$% developers defeat the web vulnerability scanners - Presentation Transcript
1.How ?¿$·& developers defeat the most famous web vulnerability scanners …or how to recognize old friends Chema Alonso Informática64 José Parada Microsoft Ibérica
2.Agenda
1.- Introduction
2.- Inverted Queries
3.- Arithmetic Blind SQL Injection
4.- Time-Based Blind SQL Injection using Heavey Queries
5.- Conclusions
3.1.-Introduction
4.SQL Injection is still here among us
5.Web Application Security Consortium: Comparision http://projects.webappsec.org/Web-Application-Security-Statistics 12.186 sites 97.554 bugs
6.Need to Improve Automatic Scanning
Not always a manual scanning is possible
Time
Confidentiality
Money, money, money…
Need to study new ways to recognize old fashion vulnerabilities to improve automatic scanning tools.
7.2.-Inverted Queries
8.
9.Homers, how are they?
Lazy
Bad trainined
Poor Experience in security stuff
Don´t like working
Don´t like computing
Don´t like coding
Don´t like you!
10.Flanders are Left-handed
11.Right
SELECT UID
FROM USERS
WHERE NAME=‘V_NAME’
AND
PASSWORD=‘V_PASSW’;
12.Wrong?
SELECT UID
FROM USERS
WHERE ‘V_NAME’=NAME AND
‘ V_PASSW’=PASSWORD
13.Login Inverted Query
Select uid
From users where ‘v_name’=name and ‘v_pass’=password
http://www.web.com/login.php?v_name=Robert&v_pass=Kubica’ or '1'='1
Select uid
From users where ‘Robert’=name and ‘Kubica’ or ‘1’=‘1’=password
FAIL
14.Login Inverted SQL Injection an example
Select uid
From users where ‘v_name’=name and ‘v_pass’=password
http://www.web.com/login.php?v_name=Robert&v_pass=’=‘’ or ‘1’=‘1’ or ‘Kubica
Select uid
From users where ‘Robert’=name and ’’=‘’ or ‘1’=‘1’ or ‘Kubica’=password
Success
15.Blind Attacks
Attacker injects code but can´t access directly to the data.
However this injection changes the behavior of the web application.
Then the attacker looks for differences between true code injections (1=1) and false code injections (1=2) in the response pages to extract data.
Blind SQL Injection
Biind Xpath Injection
Blind LDAP Injection
16.Blind SQL Injection Attacks
Attacker injects:
“ True where clauses”
“ False where clauses“
Ex:
Program.php?id=1 and 1=1
Program.php?id=1 and 1=2
Program doesn’t return any visible data from database or data in error messages.
The attacker can´t see any data extracted from the database.
17.Blind SQL Injection Attacks
Attacker analyzes the response pages looking for differences between “True-Answer Page” and “False-Answer Page”:
Different hashes
Different html structure
Different patterns (keywords)
Different linear ASCII sums
“ Different behavior”
By example: Response Time
18.Blind SQL Injection Attacks
If any difference exists, then:
Attacker can extract all information from database
How? Using “booleanization”
MySQL:
Program.php?id=1 and 100>(ASCII(Substring(user(),1,1)))
“ True-Answer Page” or “False-Answer Page”?
MSSQL:
Program.php?id=1 and 100>(Select top 1 ASCII(Substring(name,1,1))) from sysusers)
Oracle:
Program.php?id=1 and 100>(Select ASCII(Sub
This document discusses implementing content-addressable memory (CAM) in Altera field programmable gate arrays (FPGAs). CAM allows for fast parallel searches of stored data by content rather than address. Altera FPGAs integrate small CAM blocks within embedded system blocks (ESBs) that eliminate the need for discrete CAM chips and provide faster search times. The document describes CAM fundamentals, how CAM is implemented within Altera devices using ESBs, and applications that benefit from CAM such as network address lookup and pattern recognition.
IRJET- Design and Characterization of MAEC IP CoreIRJET Journal
This document describes the design and implementation of a Message Authentication Code (MAC) with integrated error correction capability called MAEC. MAEC uses a cellular automata (CA) based error correcting code to provide resilience against random errors during transmission. The key steps are: (1) Data is padded and partitioned into blocks, (2) A random maximal-length CA rule is selected based on a key using Rabin's irreducibility test, (3) Checkbytes are computed by encoding the data blocks using the CA, (4) The checkbytes and a key are mixed using NMix to generate the MAC tag, (5) During verification, received checkbytes are compared to recomputed checkbytes using the CA to detect
This document describes ClockSystem, a logical time framework embedded in Smalltalk. It allows expressing concurrency semantics through automata-based interpretation of logical time primitives from the Clock Constraint Specification Language (CCSL). ClockSystem defines clocks and clock relations in Smalltalk through a meta-model. It demonstrates modeling synchronous data flow and supports trace interpretation, model checking, and testing/monitoring of concurrent Smalltalk applications.
Porting MPEG-2 files on CerberO, a framework for FPGA based MPSocadnanfaisal
1. The document discusses porting an MPEG-2 video encoding application to run in parallel on the CerberO multiprocessor architecture.
2. CerberO addresses limitations of other multiprocessor systems through its synchronization engine and thread scheduling capabilities.
3. The students parallelized the motion estimation and discrete cosine transform stages of MPEG-2 encoding and implemented shared memory and threading models to run the application across multiple processors.
Apache Spark 2.0: Faster, Easier, and SmarterDatabricks
In this webcast, Reynold Xin from Databricks will be speaking about Apache Spark's new 2.0 major release.
The major themes for Spark 2.0 are:
- Unified APIs: Emphasis on building up higher level APIs including the merging of DataFrame and Dataset APIs
- Structured Streaming: Simplify streaming by building continuous applications on top of DataFrames allow us to unify streaming, interactive, and batch queries.
- Tungsten Phase 2: Speed up Apache Spark by 10X
This document presents new software speed records for AES-128 encryption and decryption on various platforms including 8-bit AVR microcontrollers, NVIDIA GPUs, and the Cell broadband engine. The key findings are that the AVR implementation requires 124.6 and 181.3 cycles per byte for encryption and decryption respectively while using less than 2KB of code size. For the Cell, byte-sliced implementations achieve 11.7 and 14.4 cycles per byte. The fastest GPU implementation delivers throughputs of 0.17 and 0.19 cycles per byte for encryption and decryption handling multiple input streams in parallel.
1) The document discusses the Roucairol and Carvalho optimization approach for the Ricart-Agrawala distributed mutual exclusion algorithm.
2) The optimization allows a site to enter the critical section multiple times without re-requesting permission, reducing messages to 0-2(N-1) per critical section.
3) However, this compromises fairness by allowing a site to monopolize the critical section, potentially causing starvation for other sites' requests.
YOW West 2015: "Macromonitoring for Microservices"Andy Marks
Monitoring monolithic applications integrating with single databases is a well-understood problem. But who writes monolithic applications these days? Who would even dare in the face of the all-conquering wave of microservices popularity?
Yet effective monitoring of a large fleet of decoupled microservices is a different kettle of fish entirely. And whilst an organisation may have the development savvy needed to build these fine-grained services, this competence does not always provide the necessary operational nous to monitor them in production.
Correlation ids, synthetic transactions and circuit breakers are all concepts those struck with microservice-fever are going to have to master to ensure the benefits of this architecture are not outweighed by the complexity of the associated support infrastructure.
This presentation will use the event stream processing tool Riemann (riemann.io) to demonstrate how typical microservice monitoring patterns can be implemented to provide simple and effective monitoring.
This document discusses various techniques for clock synchronization and maintaining consistency in distributed systems. It covers Cristian's algorithm, the Berkeley algorithm, Lamport timestamps, algorithms for mutual exclusion including a centralized, distributed, and token ring approach, and techniques for concurrency control including two-phase locking, pessimistic timestamp ordering, and ensuring serializability of transactions.
Data Security Using Elliptic Curve CryptographyIJCERT
Cryptography technique is used to provide data security. In existing cryptography technique the key generation takes place randomly. Key generation require shared key. If shared key is access by unauthorized user then security becomes disoriented. Hence existing problems are alleviated to give more security to data. In proposed system a algorithm called as Elliptic Curve Cryptography is used. The ECC generates the key by using the point on the curve. The ECC is used for generating the key by using point on the curve and encryption and decryption operation takes place through curve. In the proposed system the encryption and key generation process takes place rapidly.
Beyond the Query: A Cassandra + Solr + Spark Love Triangle Using Datastax Ent...DataStax Academy
Wait! Back away from the Cassandra 2ndary index. It’s ok for some use cases, but it’s not an easy button. "But I need to search through a bunch of columns to look for the data and I want to do some regression analysis… and I can’t model that in C*, even after watching all of Patrick McFadins videos. What do I do?” The answer, dear developer, is in DSE Search and Analytics. With it’s easy Solr API and Spark integration so you can search and analyze data stored in your Cassandra database until your heart’s content. Take our hand. WE will show you how.
International Journal of Engineering and Science Invention (IJESI) is an international journal intended for professionals and researchers in all fields of computer science and electronics. IJESI publishes research articles and reviews within the whole field Engineering Science and Technology, new teaching methods, assessment, validation and the impact of new technologies and it will continue to provide information on the latest trends and developments in this ever-expanding subject. The publications of papers are selected through double peer reviewed to ensure originality, relevance, and readability. The articles published in our journal can be accessed online.
This document provides an introduction to fault tolerance and atomic broadcast in distributed systems. It discusses the need for reliable services that can tolerate failures. Mutual exclusion algorithms are introduced as a way to ensure only one process accesses shared resources at a time. Atomic broadcast ensures messages are delivered to all processes in the same order, providing an ordering mechanism and ability to tolerate failures. Token-based approaches are commonly used to implement atomic broadcast in asynchronous systems. The document outlines several chapters that will cover token-based mutual exclusion and atomic broadcast algorithms, failure detectors, and a proposed new algorithm.
The document describes implementing interprocess communication using pipes in C. It creates 5 processes that communicate using pipes. Process 1 takes a string as input. Process 2 splits the string in half and passes the halves to Processes 4 and 5 using pipes. Process 3 checks if the original string is a palindrome by reading it from a pipe. The document also includes code for implementing scheduling algorithms like FCFS and Round Robin.
A fault tolerant tokenbased atomic broadcast algorithm relying on responsive ...Neelamani Samal
This document summarizes a fault tolerant token-based atomic broadcast algorithm that relies on an unreliable failure detector and satisfies the responsive property. The algorithm aims to tolerate processor-level failures in a distributed system. It divides a job into tasks, uses a token to control access to shared resources, and monitors task execution times. If a task does not respond within the timeout period, it is declared faulty and removed from the ready queue. The algorithm was implemented on a multi-core processor to simulate fault tolerance capabilities in a distributed system within a specified time interval.
This CAO lab manual is strictly designed as per the BPUT syllabus covering all the experiments. Any suggestion and comments are welcome at [email protected]
Software Engineering Sample Question paper for 2012Neelamani Samal
This document contains sample questions for the Principles and Practices of Software Engineering exam. It is divided into two parts:
Part A contains 10 short answer questions worth 2 marks each on topics like what defines software engineering, different testing stages, software architecture, and estimation models.
Part B contains 5 long answer questions worth 10 marks each, from which students must answer 5. Questions cover topics such as requirements gathering techniques, software development process models, design principles, testing strategies, UML diagrams for library and supermarket systems, and software metrics and maintenance.
This lab experiment aims to develop a data flow diagram (DFD) model for a given project. A DFD model graphically depicts the flow of data through various processes in a system. It includes level-0, level-1 DFDs and a data dictionary. A level-0 DFD shows the system's context and major processes, while level-1 diagrams provide more detail by decomposing high-level processes. The data dictionary defines all data elements in the DFDs. Developing a balanced DFD model involves matching input/output data between diagram levels. This experiment guides students through drawing DFDs and defining a data dictionary to model the data flow in a system.
Every morning in Africa, a deer must outrun the fastest lion to survive, while a lion must outrun the slowest deer to avoid starvation. It doesn't matter if you're a deer or lion, when the sun rises you must be running at your best.
Three things that once lost can never be regained are time, words, and opportunity. Three things that should not be lost are peace, hope, and honesty. The three most valuable things in life are love, self-confidence, and friends.
Failure does not mean you are a failure or accomplished nothing, but rather that you have not succeeded or learned something. It means you were willing to try or must do something differently, not that
The document discusses how various words like hard work, knowledge, love, luck, money, and leadership can be assigned numerical values by adding the position of each letter in the alphabet. It finds that attitude equals 100% while the other words fall below. It concludes that having the right attitude is essential to achieving one's full potential in life.
The document summarizes different aspects of CD writing technology, including:
1. CDs provide affordable and reliable data backup compared to other devices due to their low cost, fast retrieval speeds, universal system support, and durability if not damaged.
2. CDs store digital audio data through pulse code modulation that samples audio at 44.1 kHz with 16-bit samples, allowing high quality playback.
3. Various CD formats exist for different purposes like audio, data, video, and multimedia applications, defined by technical specifications books.
This document provides instructions for installing Windows XP Service Pack 2. It was presented by Neelamani Samal and includes steps for downloading and running the service pack installation. Viewers are thanked and invited to contact the author via email for additional details on installing the update.
The document discusses game playing in artificial intelligence. It defines games and different types, like perfect and imperfect information games. It also describes typical structures of games in AI, including 2-player zero-sum games with perfect information and no chance. It discusses game trees, minimax search, and properties like optimality. Evaluation functions and pruning techniques like alpha-beta and iterative deepening are covered to improve search efficiency. Applications of game theory in entertainment, economics and military are also mentioned.
The document discusses different types of decision support systems including geographic information systems, expert systems, neural networks, fuzzy logic, genetic algorithms, and intelligent agents. It provides examples of how different companies like Southwest Airlines, P&G, Ford, and Edison Chouest use these systems to analyze spatial data, apply reasoning, learn from data, handle imprecise information, optimize solutions, and perform automated tasks. The document concludes that artificial intelligence has made computers more functional but they still lack human emotional aspects and may not completely replace people.
Semantic Cultivators : The Critical Future Role to Enable AIartmondano
By 2026, AI agents will consume 10x more enterprise data than humans, but with none of the contextual understanding that prevents catastrophic misinterpretations.
AI and Data Privacy in 2025: Global TrendsInData Labs
In this infographic, we explore how businesses can implement effective governance frameworks to address AI data privacy. Understanding it is crucial for developing effective strategies that ensure compliance, safeguard customer trust, and leverage AI responsibly. Equip yourself with insights that can drive informed decision-making and position your organization for success in the future of data privacy.
This infographic contains:
-AI and data privacy: Key findings
-Statistics on AI data privacy in the today’s world
-Tips on how to overcome data privacy challenges
-Benefits of AI data security investments.
Keep up-to-date on how AI is reshaping privacy standards and what this entails for both individuals and organizations.
UiPath Community Berlin: Orchestrator API, Swagger, and Test Manager APIUiPathCommunity
Join this UiPath Community Berlin meetup to explore the Orchestrator API, Swagger interface, and the Test Manager API. Learn how to leverage these tools to streamline automation, enhance testing, and integrate more efficiently with UiPath. Perfect for developers, testers, and automation enthusiasts!
📕 Agenda
Welcome & Introductions
Orchestrator API Overview
Exploring the Swagger Interface
Test Manager API Highlights
Streamlining Automation & Testing with APIs (Demo)
Q&A and Open Discussion
Perfect for developers, testers, and automation enthusiasts!
👉 Join our UiPath Community Berlin chapter: https://community.uipath.com/berlin/
This session streamed live on April 29, 2025, 18:00 CET.
Check out all our upcoming UiPath Community sessions at https://community.uipath.com/events/.
Noah Loul Shares 5 Steps to Implement AI Agents for Maximum Business Efficien...Noah Loul
Artificial intelligence is changing how businesses operate. Companies are using AI agents to automate tasks, reduce time spent on repetitive work, and focus more on high-value activities. Noah Loul, an AI strategist and entrepreneur, has helped dozens of companies streamline their operations using smart automation. He believes AI agents aren't just tools—they're workers that take on repeatable tasks so your human team can focus on what matters. If you want to reduce time waste and increase output, AI agents are the next move.
This is the keynote of the Into the Box conference, highlighting the release of the BoxLang JVM language, its key enhancements, and its vision for the future.
Quantum Computing Quick Research Guide by Arthur MorganArthur Morgan
This is a Quick Research Guide (QRG).
QRGs include the following:
- A brief, high-level overview of the QRG topic.
- A milestone timeline for the QRG topic.
- Links to various free online resource materials to provide a deeper dive into the QRG topic.
- Conclusion and a recommendation for at least two books available in the SJPL system on the QRG topic.
QRGs planned for the series:
- Artificial Intelligence QRG
- Quantum Computing QRG
- Big Data Analytics QRG
- Spacecraft Guidance, Navigation & Control QRG (coming 2026)
- UK Home Computing & The Birth of ARM QRG (coming 2027)
Any questions or comments?
- Please contact Arthur Morgan at [email protected].
100% human made.
Mobile App Development Company in Saudi ArabiaSteve Jonas
EmizenTech is a globally recognized software development company, proudly serving businesses since 2013. With over 11+ years of industry experience and a team of 200+ skilled professionals, we have successfully delivered 1200+ projects across various sectors. As a leading Mobile App Development Company In Saudi Arabia we offer end-to-end solutions for iOS, Android, and cross-platform applications. Our apps are known for their user-friendly interfaces, scalability, high performance, and strong security features. We tailor each mobile application to meet the unique needs of different industries, ensuring a seamless user experience. EmizenTech is committed to turning your vision into a powerful digital product that drives growth, innovation, and long-term success in the competitive mobile landscape of Saudi Arabia.
Book industry standards are evolving rapidly. In the first part of this session, we’ll share an overview of key developments from 2024 and the early months of 2025. Then, BookNet’s resident standards expert, Tom Richardson, and CEO, Lauren Stewart, have a forward-looking conversation about what’s next.
Link to recording, presentation slides, and accompanying resource: https://bnctechforum.ca/sessions/standardsgoals-for-2025-standards-certification-roundup/
Presented by BookNet Canada on May 6, 2025 with support from the Department of Canadian Heritage.
Big Data Analytics Quick Research Guide by Arthur MorganArthur Morgan
This is a Quick Research Guide (QRG).
QRGs include the following:
- A brief, high-level overview of the QRG topic.
- A milestone timeline for the QRG topic.
- Links to various free online resource materials to provide a deeper dive into the QRG topic.
- Conclusion and a recommendation for at least two books available in the SJPL system on the QRG topic.
QRGs planned for the series:
- Artificial Intelligence QRG
- Quantum Computing QRG
- Big Data Analytics QRG
- Spacecraft Guidance, Navigation & Control QRG (coming 2026)
- UK Home Computing & The Birth of ARM QRG (coming 2027)
Any questions or comments?
- Please contact Arthur Morgan at [email protected].
100% human made.
How Can I use the AI Hype in my Business Context?Daniel Lehner
𝙄𝙨 𝘼𝙄 𝙟𝙪𝙨𝙩 𝙝𝙮𝙥𝙚? 𝙊𝙧 𝙞𝙨 𝙞𝙩 𝙩𝙝𝙚 𝙜𝙖𝙢𝙚 𝙘𝙝𝙖𝙣𝙜𝙚𝙧 𝙮𝙤𝙪𝙧 𝙗𝙪𝙨𝙞𝙣𝙚𝙨𝙨 𝙣𝙚𝙚𝙙𝙨?
Everyone’s talking about AI but is anyone really using it to create real value?
Most companies want to leverage AI. Few know 𝗵𝗼𝘄.
✅ What exactly should you ask to find real AI opportunities?
✅ Which AI techniques actually fit your business?
✅ Is your data even ready for AI?
If you’re not sure, you’re not alone. This is a condensed version of the slides I presented at a Linkedin webinar for Tecnovy on 28.04.2025.
DevOpsDays Atlanta 2025 - Building 10x Development Organizations.pptxJustin Reock
Building 10x Organizations with Modern Productivity Metrics
10x developers may be a myth, but 10x organizations are very real, as proven by the influential study performed in the 1980s, ‘The Coding War Games.’
Right now, here in early 2025, we seem to be experiencing YAPP (Yet Another Productivity Philosophy), and that philosophy is converging on developer experience. It seems that with every new method we invent for the delivery of products, whether physical or virtual, we reinvent productivity philosophies to go alongside them.
But which of these approaches actually work? DORA? SPACE? DevEx? What should we invest in and create urgency behind today, so that we don’t find ourselves having the same discussion again in a decade?
Technology Trends in 2025: AI and Big Data AnalyticsInData Labs
At InData Labs, we have been keeping an ear to the ground, looking out for AI-enabled digital transformation trends coming our way in 2025. Our report will provide a look into the technology landscape of the future, including:
-Artificial Intelligence Market Overview
-Strategies for AI Adoption in 2025
-Anticipated drivers of AI adoption and transformative technologies
-Benefits of AI and Big data for your business
-Tips on how to prepare your business for innovation
-AI and data privacy: Strategies for securing data privacy in AI models, etc.
Download your free copy nowand implement the key findings to improve your business.
2. What is Lamport’s Algorithm It is a computer algorithm Intended to improve the safety in the usage of shared resources Using mutual exclusion.
3. Related Terms Mutual exclusion Types of mutual exclusion algorithm Critical Section(C.S.) Logical Clock Causal Ordering Of Messages
4. Algorithm Every site Si keeps a request_queuei, contains mutual exclusion requests ordered by their timestamps messages to be delivered in the FIFO order between every pair of sites
11. Performance Analysis Total No. of REQUEST (N-1) Total No. Of REPLY (N-1) Total No. Of RELEASE (N-1) Total = 3(N-1)
12. Conclusion Though it does not explain the Modern scenario of distributed systems but , it gave the basic of developing the present way of handling distributed resources.