SlideShare a Scribd company logo
Understanding
Kubernetes

Scheduling
2024/10 CNTUG Meetup / Ian Wu
吳翊瑋IanWu
WhatIDoforaLiving(OpentoWork)
WhatIDoforFun
Kubernetes

DevSecOps

PlatformEngineering
BJJ

Guitar

DigitalWallet
Agenda
kube-scheduler
What is the role of kube-scheduler?
Scheduling Framework
What is the process in kube-scheduler?
kube-scheduler-simulator
What is the result of our scheduling strategy?
Control Plane Components
Control Plane
API-server
The central interface that manages and
exposes the cluster’s data.
etcd
A distributed, reliable key-value store that
provides persistent data storage for cluster
state.
kube-controller-manager
Executes control loops to maintain the
desired state of cluster components.
kube-scheduler
Determines which node for deploying
pods.
Pod Manifest
What kind of properties would infect scheduling?
Image with description
First thing
Add a quick description of each thing, with enough context to
understand what’s up.
Second thing
Keep ‘em short and sweet, so they’re easy to scan and remember.
The responsibility of kube-scheduler is find the Node and bind it into the Pod.
“How does Kubernetes schedules workloads evenly
across nodes in a cluster?”
Adam · No Where
Scheduling
Balanced Scheduling Imbalanced Scheduling
Pod Manifest
What kind of properties would infect scheduling?
containers.resources.requests
The Node must have such allocatable resources.
Scheduling Framework
Scheduling Cycle
Filter
Select the feasible
Nodes.
Score
Rank the feasible
Nodes.
containers.resources.requests
The Node must have such allocatable resources.
NodeResourcesFit in Filter and Score
Filter
Select nodes with
for
the pod.
sufficient resources
Score
Rank the feasible nodes
based on
.
resource
availability
NodeResourcesFit in Filter and Score
Filter
Select nodes with
for
the pod.
sufficient resources
Score
Rank the feasible nodes
based on
.
resource
availability
Cloud charge cross-zone Traffic
Cloud charges the traffic between different Zone.
“The primary Database deploy on Zone A.

In Kubernetes, how to schedule the workload to
Zone-A?”
Adam · No Where
“NodeSelector!”
Adam · No Where
NodeSelector
Kubernetes scheudules the workload into
Zone A.
MUST
SchedulePodintoZoneA
ZoneA ZoneB ZoneC
Zone A outage
Zone A Zone B Zone C
Schedule with Nodeselector
Filter
Select the feasible
Nodes which is in
Zone A.
Score
Rank the feasible
Nodes.
Failover
When anything works fine
Schedule the workload into Zone A.
When something got wrong.
Schedule the workload into Zone B.
Zone A Zone A Zone B
Zone B Zone C
Zone C
NodeAffinity
Kubernetes schedules the workload into
Zone A.
PREFER
Schedule with NodeAffinity
Filter
Select the feasible
Nodes
Score
Rank
prefer
Zone A,but Zone
B is fine
the feasible
Nodes,
Schedule with NodeAffinity
Filter
Select
in Zone A
the feasible
Nodes
Score
Rank
prefer
Zone A.
the feasible
Nodes,
Happy Disaster
Some product go viral, increase the loading of workload rapidly.
Problem
Even we deploy the HPA and clusterautoscaler, but the scaled node
might takes minutes to join cluster.
“How to scale workload ASAP?”
Adam · No Where
Solution
Overprovision
Over-provisoning
Proactive Node standby
Schedule low priority Pod on Proactive Node
Proactive Node services
High priority Pod preempts low priority Pod on Proactive Node
Node A Node A Node B
Node B Node C
Node C
High Priority Pod
Log Priority Pod
Scheduling Cycle
Filter
Select the feasible
Nodes.
Score
Rank the feasible
Nodes.
Scheduling Cycle
Filter
Select the feasible
Nodes.
Post-filter
Preemption runs
here.
Score
Rank the feasible
Nodes.
If feasible Nodes
NO
Scheduling Framework
“Sounds wonderful, but how to test it?”
Adam · No Where
Three problem about test scheduling
Cost
If you want to build a test
environment for testing scheduling
strategy, it might be expensive.
Test at Large Scale
Private Cloud might not have
enough machines, even in Public
Cloud, you might need some time to
build a large cluster.
Trouble shooting
The scheduling would like to know
the all nodes in the Cluster,
complicated Scheduling strategy is
hard to test.
kube-scheduler-simulator
Three problem about test scheduling
Cost
kss can test scheduling without
resources.
Test at Large Scale
kss can test scheduling at Large
Scale easy.
Trouble shooting
kss provides debuggable scheduler,
it logs all result in stages about
Scheduling Framework.
Demo
Using kube-scheduler-simulator to verify the
over-provisioning pattern.
Scale out Node → 10


Deploy Backend x 40


Deploy low-priority-class and low-priority-pod x 12


Observe LPP Pending


Simulate the behavior of clusterautoscaler:Scale out Node -> 13


Observe LPP, it should be deployed to the Proactive Node 


Simulate the behavior of HPA:Scale out backend 40 → 52


Observe Backend preempt LPP
“I heard every stages in Scheduling Framework is an
extension point, how can we extend it?”
Adam · No Where
Extend your scheduler
Now about extending scheduler
Scheduler Profile
If default scheduler fits your needs,
but you want some custom. 

For example, the parameter of some
Plugin, or high weight of specific
Plugin.
Scheduler Extender
bad performance, bad error
handling.
Plugins
You need to build your scheduler
with the custom plugins.
Demo
Using kube-scheduler-simulator to verify the
custom plugin.
Enable the custom plugin in KubeSchedulerConfiguration

Deploy new Pod

Verify the score of custom plugin
Trend about scheduler
Descheduler
Obey the scheduling policy after
deployment.

Evict the pod before the resources
usage hit the limits.
Batch Job for ML
Batch Job for ML is different from
normal.

Kueue and QueueHint.
kube-scheduler-wasm-
extension
Extend kube-scheduler with WASM.
Takeaway Understand Scheduling gives us more
choices about actions.
Bonus
Three Common Misconception
First
pod.containers.resources.requests
only works during scheduling.
Second
Usage above
won’t cause any problem.

pod.containers.resources.limits
Third
Only Memory would cause
OOMKilled.
Three Common Misconception
First
pod.containers.resources.requests
only works during scheduling.
The requests.cpu would affect the
cgroup. The limits.cpu would cause the CPU
throttling.
The GC Thread might not GC
completely because the CPU
throttling, it might trigger OOMKilled.
Second
Usage above
won’t cause any problem.

pod.containers.resources.limits
Third
Only Memory would cause
.
OOMKilled
Ad

More Related Content

What's hot (20)

Kubernetes 101
Kubernetes 101Kubernetes 101
Kubernetes 101
Winton Winton
 
Hbase hivepig
Hbase hivepigHbase hivepig
Hbase hivepig
Radha Krishna
 
Local Apache NiFi Processor Debug
Local Apache NiFi Processor DebugLocal Apache NiFi Processor Debug
Local Apache NiFi Processor Debug
Deon Huang
 
GitOps w/argocd
GitOps w/argocdGitOps w/argocd
GitOps w/argocd
Jean-Philippe Bélanger
 
Kubernetes (k8s).pdf
Kubernetes (k8s).pdfKubernetes (k8s).pdf
Kubernetes (k8s).pdf
Jaouad Assabbour
 
Ansible presentation
Ansible presentationAnsible presentation
Ansible presentation
John Lynch
 
Join semantics in kafka streams
Join semantics in kafka streamsJoin semantics in kafka streams
Join semantics in kafka streams
Knoldus Inc.
 
Introduction to GCP BigQuery and DataPrep
Introduction to GCP BigQuery and DataPrepIntroduction to GCP BigQuery and DataPrep
Introduction to GCP BigQuery and DataPrep
Paweł Mitruś
 
Nick Fisk - low latency Ceph
Nick Fisk - low latency CephNick Fisk - low latency Ceph
Nick Fisk - low latency Ceph
ShapeBlue
 
Monitoring and Scaling Redis at DataDog - Ilan Rabinovitch, DataDog
 Monitoring and Scaling Redis at DataDog - Ilan Rabinovitch, DataDog Monitoring and Scaling Redis at DataDog - Ilan Rabinovitch, DataDog
Monitoring and Scaling Redis at DataDog - Ilan Rabinovitch, DataDog
Redis Labs
 
Introduction of cloud native CI/CD on kubernetes
Introduction of cloud native CI/CD on kubernetesIntroduction of cloud native CI/CD on kubernetes
Introduction of cloud native CI/CD on kubernetes
Kyohei Mizumoto
 
Git Branching Model
Git Branching ModelGit Branching Model
Git Branching Model
Harun Yardımcı
 
Bloat and Fragmentation in PostgreSQL
Bloat and Fragmentation in PostgreSQLBloat and Fragmentation in PostgreSQL
Bloat and Fragmentation in PostgreSQL
Masahiko Sawada
 
Delivering Docker & K3s worloads to IoT Edge devices
Delivering Docker & K3s worloads to IoT Edge devicesDelivering Docker & K3s worloads to IoT Edge devices
Delivering Docker & K3s worloads to IoT Edge devices
Ajeet Singh Raina
 
Distributed Caching in Kubernetes with Hazelcast
Distributed Caching in Kubernetes with HazelcastDistributed Caching in Kubernetes with Hazelcast
Distributed Caching in Kubernetes with Hazelcast
Mesut Celik
 
Gitlab, GitOps & ArgoCD
Gitlab, GitOps & ArgoCDGitlab, GitOps & ArgoCD
Gitlab, GitOps & ArgoCD
Haggai Philip Zagury
 
GitOps is the best modern practice for CD with Kubernetes
GitOps is the best modern practice for CD with KubernetesGitOps is the best modern practice for CD with Kubernetes
GitOps is the best modern practice for CD with Kubernetes
Volodymyr Shynkar
 
Building a Data Pipeline using Apache Airflow (on AWS / GCP)
Building a Data Pipeline using Apache Airflow (on AWS / GCP)Building a Data Pipeline using Apache Airflow (on AWS / GCP)
Building a Data Pipeline using Apache Airflow (on AWS / GCP)
Yohei Onishi
 
Zero downtime deployment of micro-services with Kubernetes
Zero downtime deployment of micro-services with KubernetesZero downtime deployment of micro-services with Kubernetes
Zero downtime deployment of micro-services with Kubernetes
Wojciech Barczyński
 
Kubernetes Architecture and Introduction
Kubernetes Architecture and IntroductionKubernetes Architecture and Introduction
Kubernetes Architecture and Introduction
Stefan Schimanski
 
Local Apache NiFi Processor Debug
Local Apache NiFi Processor DebugLocal Apache NiFi Processor Debug
Local Apache NiFi Processor Debug
Deon Huang
 
Ansible presentation
Ansible presentationAnsible presentation
Ansible presentation
John Lynch
 
Join semantics in kafka streams
Join semantics in kafka streamsJoin semantics in kafka streams
Join semantics in kafka streams
Knoldus Inc.
 
Introduction to GCP BigQuery and DataPrep
Introduction to GCP BigQuery and DataPrepIntroduction to GCP BigQuery and DataPrep
Introduction to GCP BigQuery and DataPrep
Paweł Mitruś
 
Nick Fisk - low latency Ceph
Nick Fisk - low latency CephNick Fisk - low latency Ceph
Nick Fisk - low latency Ceph
ShapeBlue
 
Monitoring and Scaling Redis at DataDog - Ilan Rabinovitch, DataDog
 Monitoring and Scaling Redis at DataDog - Ilan Rabinovitch, DataDog Monitoring and Scaling Redis at DataDog - Ilan Rabinovitch, DataDog
Monitoring and Scaling Redis at DataDog - Ilan Rabinovitch, DataDog
Redis Labs
 
Introduction of cloud native CI/CD on kubernetes
Introduction of cloud native CI/CD on kubernetesIntroduction of cloud native CI/CD on kubernetes
Introduction of cloud native CI/CD on kubernetes
Kyohei Mizumoto
 
Bloat and Fragmentation in PostgreSQL
Bloat and Fragmentation in PostgreSQLBloat and Fragmentation in PostgreSQL
Bloat and Fragmentation in PostgreSQL
Masahiko Sawada
 
Delivering Docker & K3s worloads to IoT Edge devices
Delivering Docker & K3s worloads to IoT Edge devicesDelivering Docker & K3s worloads to IoT Edge devices
Delivering Docker & K3s worloads to IoT Edge devices
Ajeet Singh Raina
 
Distributed Caching in Kubernetes with Hazelcast
Distributed Caching in Kubernetes with HazelcastDistributed Caching in Kubernetes with Hazelcast
Distributed Caching in Kubernetes with Hazelcast
Mesut Celik
 
GitOps is the best modern practice for CD with Kubernetes
GitOps is the best modern practice for CD with KubernetesGitOps is the best modern practice for CD with Kubernetes
GitOps is the best modern practice for CD with Kubernetes
Volodymyr Shynkar
 
Building a Data Pipeline using Apache Airflow (on AWS / GCP)
Building a Data Pipeline using Apache Airflow (on AWS / GCP)Building a Data Pipeline using Apache Airflow (on AWS / GCP)
Building a Data Pipeline using Apache Airflow (on AWS / GCP)
Yohei Onishi
 
Zero downtime deployment of micro-services with Kubernetes
Zero downtime deployment of micro-services with KubernetesZero downtime deployment of micro-services with Kubernetes
Zero downtime deployment of micro-services with Kubernetes
Wojciech Barczyński
 
Kubernetes Architecture and Introduction
Kubernetes Architecture and IntroductionKubernetes Architecture and Introduction
Kubernetes Architecture and Introduction
Stefan Schimanski
 

Similar to Understanding Kubernetes Scheduling - CNTUG 2024-10 (20)

Production Grade Kubernetes Applications
Production Grade Kubernetes ApplicationsProduction Grade Kubernetes Applications
Production Grade Kubernetes Applications
Narayanan Krishnamurthy
 
Kubeadm Deep Dive (Kubecon Seattle 2018)
Kubeadm Deep Dive (Kubecon Seattle 2018)Kubeadm Deep Dive (Kubecon Seattle 2018)
Kubeadm Deep Dive (Kubecon Seattle 2018)
Liz Frost
 
SCM Puppet: from an intro to the scaling
SCM Puppet: from an intro to the scalingSCM Puppet: from an intro to the scaling
SCM Puppet: from an intro to the scaling
Stanislav Osipov
 
Stop Worrying and Keep Querying, Using Automated Multi-Region Disaster Recovery
Stop Worrying and Keep Querying, Using Automated Multi-Region Disaster RecoveryStop Worrying and Keep Querying, Using Automated Multi-Region Disaster Recovery
Stop Worrying and Keep Querying, Using Automated Multi-Region Disaster Recovery
DoKC
 
Container orchestration from theory to practice
Container orchestration from theory to practiceContainer orchestration from theory to practice
Container orchestration from theory to practice
Docker, Inc.
 
Cluster management with Kubernetes
Cluster management with KubernetesCluster management with Kubernetes
Cluster management with Kubernetes
Satnam Singh
 
[k8s] Kubernetes terminology (1).pdf
[k8s] Kubernetes terminology (1).pdf[k8s] Kubernetes terminology (1).pdf
[k8s] Kubernetes terminology (1).pdf
Frederik Wouters
 
stackconf 2020 | The path to a Serverless-native era with Kubernetes by Paolo...
stackconf 2020 | The path to a Serverless-native era with Kubernetes by Paolo...stackconf 2020 | The path to a Serverless-native era with Kubernetes by Paolo...
stackconf 2020 | The path to a Serverless-native era with Kubernetes by Paolo...
NETWAYS
 
Capacity Planning Infrastructure for Web Applications (Drupal)
Capacity Planning Infrastructure for Web Applications (Drupal)Capacity Planning Infrastructure for Web Applications (Drupal)
Capacity Planning Infrastructure for Web Applications (Drupal)
Ricardo Amaro
 
Dr Elephant: LinkedIn's Self-Service System for Detecting and Treating Hadoop...
Dr Elephant: LinkedIn's Self-Service System for Detecting and Treating Hadoop...Dr Elephant: LinkedIn's Self-Service System for Detecting and Treating Hadoop...
Dr Elephant: LinkedIn's Self-Service System for Detecting and Treating Hadoop...
DataWorks Summit
 
Cloud data center and openstack
Cloud data center and openstackCloud data center and openstack
Cloud data center and openstack
Andrew Yongjoon Kong
 
Characterizing and Contrasting Kuhn-tey-ner Awr-kuh-streyt-ors
Characterizing and Contrasting Kuhn-tey-ner Awr-kuh-streyt-orsCharacterizing and Contrasting Kuhn-tey-ner Awr-kuh-streyt-ors
Characterizing and Contrasting Kuhn-tey-ner Awr-kuh-streyt-ors
Sonatype
 
20211202 North America DevOps Group NADOG Adapting to Covid With Serverless C...
20211202 North America DevOps Group NADOG Adapting to Covid With Serverless C...20211202 North America DevOps Group NADOG Adapting to Covid With Serverless C...
20211202 North America DevOps Group NADOG Adapting to Covid With Serverless C...
Craeg Strong
 
20211202 NADOG Adapting to Covid with Serverless Craeg Strong Ariel Partners
20211202 NADOG Adapting to Covid with Serverless Craeg Strong Ariel Partners20211202 NADOG Adapting to Covid with Serverless Craeg Strong Ariel Partners
20211202 NADOG Adapting to Covid with Serverless Craeg Strong Ariel Partners
Craeg Strong
 
How Kubernetes scheduler works
How Kubernetes scheduler worksHow Kubernetes scheduler works
How Kubernetes scheduler works
Himani Agrawal
 
Optimization and fault tolerance in distributed transaction with Node.JS Grap...
Optimization and fault tolerance in distributed transaction with Node.JS Grap...Optimization and fault tolerance in distributed transaction with Node.JS Grap...
Optimization and fault tolerance in distributed transaction with Node.JS Grap...
Thien Ly
 
Kubernetes vs dockers swarm supporting onap oom on multi-cloud multi-stack en...
Kubernetes vs dockers swarm supporting onap oom on multi-cloud multi-stack en...Kubernetes vs dockers swarm supporting onap oom on multi-cloud multi-stack en...
Kubernetes vs dockers swarm supporting onap oom on multi-cloud multi-stack en...
Arthur Berezin
 
Build and Deploy Cloud Native Camel Quarkus routes with Tekton and Knative
Build and Deploy Cloud Native Camel Quarkus routes with Tekton and KnativeBuild and Deploy Cloud Native Camel Quarkus routes with Tekton and Knative
Build and Deploy Cloud Native Camel Quarkus routes with Tekton and Knative
Omar Al-Safi
 
Salvatore Incandela, Fabio Marinelli - Using Spinnaker to Create a Developmen...
Salvatore Incandela, Fabio Marinelli - Using Spinnaker to Create a Developmen...Salvatore Incandela, Fabio Marinelli - Using Spinnaker to Create a Developmen...
Salvatore Incandela, Fabio Marinelli - Using Spinnaker to Create a Developmen...
Codemotion
 
Cloud Composer workshop at Airflow Summit 2023.pdf
Cloud Composer workshop at Airflow Summit 2023.pdfCloud Composer workshop at Airflow Summit 2023.pdf
Cloud Composer workshop at Airflow Summit 2023.pdf
Leah Cole
 
Production Grade Kubernetes Applications
Production Grade Kubernetes ApplicationsProduction Grade Kubernetes Applications
Production Grade Kubernetes Applications
Narayanan Krishnamurthy
 
Kubeadm Deep Dive (Kubecon Seattle 2018)
Kubeadm Deep Dive (Kubecon Seattle 2018)Kubeadm Deep Dive (Kubecon Seattle 2018)
Kubeadm Deep Dive (Kubecon Seattle 2018)
Liz Frost
 
SCM Puppet: from an intro to the scaling
SCM Puppet: from an intro to the scalingSCM Puppet: from an intro to the scaling
SCM Puppet: from an intro to the scaling
Stanislav Osipov
 
Stop Worrying and Keep Querying, Using Automated Multi-Region Disaster Recovery
Stop Worrying and Keep Querying, Using Automated Multi-Region Disaster RecoveryStop Worrying and Keep Querying, Using Automated Multi-Region Disaster Recovery
Stop Worrying and Keep Querying, Using Automated Multi-Region Disaster Recovery
DoKC
 
Container orchestration from theory to practice
Container orchestration from theory to practiceContainer orchestration from theory to practice
Container orchestration from theory to practice
Docker, Inc.
 
Cluster management with Kubernetes
Cluster management with KubernetesCluster management with Kubernetes
Cluster management with Kubernetes
Satnam Singh
 
[k8s] Kubernetes terminology (1).pdf
[k8s] Kubernetes terminology (1).pdf[k8s] Kubernetes terminology (1).pdf
[k8s] Kubernetes terminology (1).pdf
Frederik Wouters
 
stackconf 2020 | The path to a Serverless-native era with Kubernetes by Paolo...
stackconf 2020 | The path to a Serverless-native era with Kubernetes by Paolo...stackconf 2020 | The path to a Serverless-native era with Kubernetes by Paolo...
stackconf 2020 | The path to a Serverless-native era with Kubernetes by Paolo...
NETWAYS
 
Capacity Planning Infrastructure for Web Applications (Drupal)
Capacity Planning Infrastructure for Web Applications (Drupal)Capacity Planning Infrastructure for Web Applications (Drupal)
Capacity Planning Infrastructure for Web Applications (Drupal)
Ricardo Amaro
 
Dr Elephant: LinkedIn's Self-Service System for Detecting and Treating Hadoop...
Dr Elephant: LinkedIn's Self-Service System for Detecting and Treating Hadoop...Dr Elephant: LinkedIn's Self-Service System for Detecting and Treating Hadoop...
Dr Elephant: LinkedIn's Self-Service System for Detecting and Treating Hadoop...
DataWorks Summit
 
Characterizing and Contrasting Kuhn-tey-ner Awr-kuh-streyt-ors
Characterizing and Contrasting Kuhn-tey-ner Awr-kuh-streyt-orsCharacterizing and Contrasting Kuhn-tey-ner Awr-kuh-streyt-ors
Characterizing and Contrasting Kuhn-tey-ner Awr-kuh-streyt-ors
Sonatype
 
20211202 North America DevOps Group NADOG Adapting to Covid With Serverless C...
20211202 North America DevOps Group NADOG Adapting to Covid With Serverless C...20211202 North America DevOps Group NADOG Adapting to Covid With Serverless C...
20211202 North America DevOps Group NADOG Adapting to Covid With Serverless C...
Craeg Strong
 
20211202 NADOG Adapting to Covid with Serverless Craeg Strong Ariel Partners
20211202 NADOG Adapting to Covid with Serverless Craeg Strong Ariel Partners20211202 NADOG Adapting to Covid with Serverless Craeg Strong Ariel Partners
20211202 NADOG Adapting to Covid with Serverless Craeg Strong Ariel Partners
Craeg Strong
 
How Kubernetes scheduler works
How Kubernetes scheduler worksHow Kubernetes scheduler works
How Kubernetes scheduler works
Himani Agrawal
 
Optimization and fault tolerance in distributed transaction with Node.JS Grap...
Optimization and fault tolerance in distributed transaction with Node.JS Grap...Optimization and fault tolerance in distributed transaction with Node.JS Grap...
Optimization and fault tolerance in distributed transaction with Node.JS Grap...
Thien Ly
 
Kubernetes vs dockers swarm supporting onap oom on multi-cloud multi-stack en...
Kubernetes vs dockers swarm supporting onap oom on multi-cloud multi-stack en...Kubernetes vs dockers swarm supporting onap oom on multi-cloud multi-stack en...
Kubernetes vs dockers swarm supporting onap oom on multi-cloud multi-stack en...
Arthur Berezin
 
Build and Deploy Cloud Native Camel Quarkus routes with Tekton and Knative
Build and Deploy Cloud Native Camel Quarkus routes with Tekton and KnativeBuild and Deploy Cloud Native Camel Quarkus routes with Tekton and Knative
Build and Deploy Cloud Native Camel Quarkus routes with Tekton and Knative
Omar Al-Safi
 
Salvatore Incandela, Fabio Marinelli - Using Spinnaker to Create a Developmen...
Salvatore Incandela, Fabio Marinelli - Using Spinnaker to Create a Developmen...Salvatore Incandela, Fabio Marinelli - Using Spinnaker to Create a Developmen...
Salvatore Incandela, Fabio Marinelli - Using Spinnaker to Create a Developmen...
Codemotion
 
Cloud Composer workshop at Airflow Summit 2023.pdf
Cloud Composer workshop at Airflow Summit 2023.pdfCloud Composer workshop at Airflow Summit 2023.pdf
Cloud Composer workshop at Airflow Summit 2023.pdf
Leah Cole
 
Ad

Recently uploaded (20)

MAQUINARIA MINAS CEMA 6th Edition (1).pdf
MAQUINARIA MINAS CEMA 6th Edition (1).pdfMAQUINARIA MINAS CEMA 6th Edition (1).pdf
MAQUINARIA MINAS CEMA 6th Edition (1).pdf
ssuser562df4
 
Smart Storage Solutions.pptx for production engineering
Smart Storage Solutions.pptx for production engineeringSmart Storage Solutions.pptx for production engineering
Smart Storage Solutions.pptx for production engineering
rushikeshnavghare94
 
Lidar for Autonomous Driving, LiDAR Mapping for Driverless Cars.pptx
Lidar for Autonomous Driving, LiDAR Mapping for Driverless Cars.pptxLidar for Autonomous Driving, LiDAR Mapping for Driverless Cars.pptx
Lidar for Autonomous Driving, LiDAR Mapping for Driverless Cars.pptx
RishavKumar530754
 
Raish Khanji GTU 8th sem Internship Report.pdf
Raish Khanji GTU 8th sem Internship Report.pdfRaish Khanji GTU 8th sem Internship Report.pdf
Raish Khanji GTU 8th sem Internship Report.pdf
RaishKhanji
 
Structural Response of Reinforced Self-Compacting Concrete Deep Beam Using Fi...
Structural Response of Reinforced Self-Compacting Concrete Deep Beam Using Fi...Structural Response of Reinforced Self-Compacting Concrete Deep Beam Using Fi...
Structural Response of Reinforced Self-Compacting Concrete Deep Beam Using Fi...
Journal of Soft Computing in Civil Engineering
 
IntroSlides-April-BuildWithAI-VertexAI.pdf
IntroSlides-April-BuildWithAI-VertexAI.pdfIntroSlides-April-BuildWithAI-VertexAI.pdf
IntroSlides-April-BuildWithAI-VertexAI.pdf
Luiz Carneiro
 
AI-assisted Software Testing (3-hours tutorial)
AI-assisted Software Testing (3-hours tutorial)AI-assisted Software Testing (3-hours tutorial)
AI-assisted Software Testing (3-hours tutorial)
Vəhid Gəruslu
 
Explainable-Artificial-Intelligence-XAI-A-Deep-Dive (1).pptx
Explainable-Artificial-Intelligence-XAI-A-Deep-Dive (1).pptxExplainable-Artificial-Intelligence-XAI-A-Deep-Dive (1).pptx
Explainable-Artificial-Intelligence-XAI-A-Deep-Dive (1).pptx
MahaveerVPandit
 
15th International Conference on Computer Science, Engineering and Applicatio...
15th International Conference on Computer Science, Engineering and Applicatio...15th International Conference on Computer Science, Engineering and Applicatio...
15th International Conference on Computer Science, Engineering and Applicatio...
IJCSES Journal
 
Development of MLR, ANN and ANFIS Models for Estimation of PCUs at Different ...
Development of MLR, ANN and ANFIS Models for Estimation of PCUs at Different ...Development of MLR, ANN and ANFIS Models for Estimation of PCUs at Different ...
Development of MLR, ANN and ANFIS Models for Estimation of PCUs at Different ...
Journal of Soft Computing in Civil Engineering
 
Compiler Design_Lexical Analysis phase.pptx
Compiler Design_Lexical Analysis phase.pptxCompiler Design_Lexical Analysis phase.pptx
Compiler Design_Lexical Analysis phase.pptx
RushaliDeshmukh2
 
Oil-gas_Unconventional oil and gass_reseviours.pdf
Oil-gas_Unconventional oil and gass_reseviours.pdfOil-gas_Unconventional oil and gass_reseviours.pdf
Oil-gas_Unconventional oil and gass_reseviours.pdf
M7md3li2
 
DATA-DRIVEN SHOULDER INVERSE KINEMATICS YoungBeom Kim1 , Byung-Ha Park1 , Kwa...
DATA-DRIVEN SHOULDER INVERSE KINEMATICS YoungBeom Kim1 , Byung-Ha Park1 , Kwa...DATA-DRIVEN SHOULDER INVERSE KINEMATICS YoungBeom Kim1 , Byung-Ha Park1 , Kwa...
DATA-DRIVEN SHOULDER INVERSE KINEMATICS YoungBeom Kim1 , Byung-Ha Park1 , Kwa...
charlesdick1345
 
Artificial Intelligence (AI) basics.pptx
Artificial Intelligence (AI) basics.pptxArtificial Intelligence (AI) basics.pptx
Artificial Intelligence (AI) basics.pptx
aditichinar
 
Compiler Design Unit1 PPT Phases of Compiler.pptx
Compiler Design Unit1 PPT Phases of Compiler.pptxCompiler Design Unit1 PPT Phases of Compiler.pptx
Compiler Design Unit1 PPT Phases of Compiler.pptx
RushaliDeshmukh2
 
railway wheels, descaling after reheating and before forging
railway wheels, descaling after reheating and before forgingrailway wheels, descaling after reheating and before forging
railway wheels, descaling after reheating and before forging
Javad Kadkhodapour
 
Metal alkyne complexes.pptx in chemistry
Metal alkyne complexes.pptx in chemistryMetal alkyne complexes.pptx in chemistry
Metal alkyne complexes.pptx in chemistry
mee23nu
 
Introduction to FLUID MECHANICS & KINEMATICS
Introduction to FLUID MECHANICS &  KINEMATICSIntroduction to FLUID MECHANICS &  KINEMATICS
Introduction to FLUID MECHANICS & KINEMATICS
narayanaswamygdas
 
Process Parameter Optimization for Minimizing Springback in Cold Drawing Proc...
Process Parameter Optimization for Minimizing Springback in Cold Drawing Proc...Process Parameter Optimization for Minimizing Springback in Cold Drawing Proc...
Process Parameter Optimization for Minimizing Springback in Cold Drawing Proc...
Journal of Soft Computing in Civil Engineering
 
five-year-soluhhhhhhhhhhhhhhhhhtions.pdf
five-year-soluhhhhhhhhhhhhhhhhhtions.pdffive-year-soluhhhhhhhhhhhhhhhhhtions.pdf
five-year-soluhhhhhhhhhhhhhhhhhtions.pdf
AdityaSharma944496
 
MAQUINARIA MINAS CEMA 6th Edition (1).pdf
MAQUINARIA MINAS CEMA 6th Edition (1).pdfMAQUINARIA MINAS CEMA 6th Edition (1).pdf
MAQUINARIA MINAS CEMA 6th Edition (1).pdf
ssuser562df4
 
Smart Storage Solutions.pptx for production engineering
Smart Storage Solutions.pptx for production engineeringSmart Storage Solutions.pptx for production engineering
Smart Storage Solutions.pptx for production engineering
rushikeshnavghare94
 
Lidar for Autonomous Driving, LiDAR Mapping for Driverless Cars.pptx
Lidar for Autonomous Driving, LiDAR Mapping for Driverless Cars.pptxLidar for Autonomous Driving, LiDAR Mapping for Driverless Cars.pptx
Lidar for Autonomous Driving, LiDAR Mapping for Driverless Cars.pptx
RishavKumar530754
 
Raish Khanji GTU 8th sem Internship Report.pdf
Raish Khanji GTU 8th sem Internship Report.pdfRaish Khanji GTU 8th sem Internship Report.pdf
Raish Khanji GTU 8th sem Internship Report.pdf
RaishKhanji
 
IntroSlides-April-BuildWithAI-VertexAI.pdf
IntroSlides-April-BuildWithAI-VertexAI.pdfIntroSlides-April-BuildWithAI-VertexAI.pdf
IntroSlides-April-BuildWithAI-VertexAI.pdf
Luiz Carneiro
 
AI-assisted Software Testing (3-hours tutorial)
AI-assisted Software Testing (3-hours tutorial)AI-assisted Software Testing (3-hours tutorial)
AI-assisted Software Testing (3-hours tutorial)
Vəhid Gəruslu
 
Explainable-Artificial-Intelligence-XAI-A-Deep-Dive (1).pptx
Explainable-Artificial-Intelligence-XAI-A-Deep-Dive (1).pptxExplainable-Artificial-Intelligence-XAI-A-Deep-Dive (1).pptx
Explainable-Artificial-Intelligence-XAI-A-Deep-Dive (1).pptx
MahaveerVPandit
 
15th International Conference on Computer Science, Engineering and Applicatio...
15th International Conference on Computer Science, Engineering and Applicatio...15th International Conference on Computer Science, Engineering and Applicatio...
15th International Conference on Computer Science, Engineering and Applicatio...
IJCSES Journal
 
Compiler Design_Lexical Analysis phase.pptx
Compiler Design_Lexical Analysis phase.pptxCompiler Design_Lexical Analysis phase.pptx
Compiler Design_Lexical Analysis phase.pptx
RushaliDeshmukh2
 
Oil-gas_Unconventional oil and gass_reseviours.pdf
Oil-gas_Unconventional oil and gass_reseviours.pdfOil-gas_Unconventional oil and gass_reseviours.pdf
Oil-gas_Unconventional oil and gass_reseviours.pdf
M7md3li2
 
DATA-DRIVEN SHOULDER INVERSE KINEMATICS YoungBeom Kim1 , Byung-Ha Park1 , Kwa...
DATA-DRIVEN SHOULDER INVERSE KINEMATICS YoungBeom Kim1 , Byung-Ha Park1 , Kwa...DATA-DRIVEN SHOULDER INVERSE KINEMATICS YoungBeom Kim1 , Byung-Ha Park1 , Kwa...
DATA-DRIVEN SHOULDER INVERSE KINEMATICS YoungBeom Kim1 , Byung-Ha Park1 , Kwa...
charlesdick1345
 
Artificial Intelligence (AI) basics.pptx
Artificial Intelligence (AI) basics.pptxArtificial Intelligence (AI) basics.pptx
Artificial Intelligence (AI) basics.pptx
aditichinar
 
Compiler Design Unit1 PPT Phases of Compiler.pptx
Compiler Design Unit1 PPT Phases of Compiler.pptxCompiler Design Unit1 PPT Phases of Compiler.pptx
Compiler Design Unit1 PPT Phases of Compiler.pptx
RushaliDeshmukh2
 
railway wheels, descaling after reheating and before forging
railway wheels, descaling after reheating and before forgingrailway wheels, descaling after reheating and before forging
railway wheels, descaling after reheating and before forging
Javad Kadkhodapour
 
Metal alkyne complexes.pptx in chemistry
Metal alkyne complexes.pptx in chemistryMetal alkyne complexes.pptx in chemistry
Metal alkyne complexes.pptx in chemistry
mee23nu
 
Introduction to FLUID MECHANICS & KINEMATICS
Introduction to FLUID MECHANICS &  KINEMATICSIntroduction to FLUID MECHANICS &  KINEMATICS
Introduction to FLUID MECHANICS & KINEMATICS
narayanaswamygdas
 
five-year-soluhhhhhhhhhhhhhhhhhtions.pdf
five-year-soluhhhhhhhhhhhhhhhhhtions.pdffive-year-soluhhhhhhhhhhhhhhhhhtions.pdf
five-year-soluhhhhhhhhhhhhhhhhhtions.pdf
AdityaSharma944496
 
Ad

Understanding Kubernetes Scheduling - CNTUG 2024-10