Xen scheduler status. George Dunlap Citrix Systems R&D Ltd, UK

Size: px
Start display at page:

Download "Xen scheduler status. George Dunlap Citrix Systems R&D Ltd, UK"

Transcription

1 Xen scheduler status George Dunlap Citrix Systems R&D Ltd, UK

2 Goals for talk Understand the problem: Why a new scheduler? Understand reset events in credit1 and credit2 algorithms Know design target and plans for future, so that you can participate

3 Outline Issues with current scheduler Design target for new scheduler Theory: Reset condition Credit1 algorithm Credit2 algorithm Future work Load balancing Hyperthreading Power management NUMA

4 What s wrong with the old one? Client hypervisors and audio/video Audio VM: 5% CPU 2x Kernel-build VMs: 97% cpu each audio skips over 5 minutes Not fair to latency-sensitive workloads Network scp: Fair share 50%, usage 20-30% Load balancing 64 threads (4 x 8 x 2) Unpredictable Not scalable Power management, Hyperthreads

5 What to aim for Xen use cases Server consolidation Key challenge: large number of vcpus Virtual Desktop (VDI) Virtual Desktop (VDI) Key challenge: large number of VMs Client virtualization (XenClient) Client virtualization (XenClient) Key challenge: audio and video

6 Evaluation criteria Design goals, con t Fairness: Getting what you were promised Throughput: Using all resources effectively Graceful performance degradation Issues to address Hyperthreading Performance depends on what the other thread is doing Power management NUMA Interface Reservation: Minimum CPU time Weight: How to divide CPU when overcommitted Cap: Maximum CPU time

7 Some theory Equivalence class of algorithms A A value per vcpu (credits, time, debits) Value modified based on Time running Wall-clock time Time blocked / on runqueue Key problem: Not all vcpus use all their time Tendency towards divergence

8 Dealing with divergence Alternatives explored Guessing how much credit would be used Zero-sum: put in only as much as will be used Simple cap Best solution: Reset event Discards unused credits Tends to converge vcpus who have gotten too far behind Found in both Credit scheduler and BVT scheduler

9 Credit1 issues Many weaknesses Long time-slice Sorting by priority rather than credit Probabilistic debiting Key issue: reset condition

10 Credit1: Core algortihm Two categories: active and inactive Active VMs Credit divided every 30ms according to weight Conceptually burn credits at a fixed rate Two priorities: UNDER and OVER Scheduling within a priority is round-robin Non-active VMs Do not earn or burn credits BOOST priority Transition Active to Inactive: earn 30ms of credit Inactive to active: interrupted by a tick (every 10ms)

11 Non-burner in Credit1 Inactive is an unstable place to be Guaranteed to be hit by a tick eventually E.g. audio, 5% of cpu 5% chance of getting hit by tick Expect 1 in 20 ticks to hit the VM Ticks every 10ms -> 200ms in boost Now in OVER Not burning all credits Will go back to inactive after accumulating 30ms All vcpus using less than their fair share will flip back and forth between active and inactive

12 Credit2 Reset condition is core to the algorithm Basic description Credits for all VMs start at a fixed value Credits consumed at different rates, based on weight Insert into runqueue based on credits Reset condition: When the credits of the vcpu at the front of the runqueue <=0 Set everyone s credits back to start value No runqueue sorting required Refinement: Clip-and-add Allows low-usage VMs to start at head of runqueue Scheduler may allow a vcpu to go negative

13

14 Other Changes: Runqueue per L2 Cache effects main reason to avoid migration Threads, cores share L2 Instant load balancing across cores / threads shared by an L2 Including most single-socket boxes

15 Early results Audio is better Same setup as before 0 0 skips Network is more fair Full 50% of CPU

16 Future work Load balancing Only need between L2 runqueues Heirarchical division Linux scheduling domain concept Explicit load balancing based on historical load Hyperthreading Adjust burn rate for shared threads Power management Weigh time waiting vs extra power NUMA Weigh time waiting for cpu vs remote cache misses

17 Outline Issues with current scheduler Design target for new scheduler Theory: Reset condition Credit1 algorithm Credit2 algorithm Future work Load balancing Hyperthreading Power management NUMA

18 Goals for talk Understand the problem: Why a new scheduler? Understand reset events in credit1 and credit2 algorithms Know design target and plans for future, so that you can participate

19 Questions

20 Xen scheduler status George Dunlap Citrix Systems R&D Ltd, UK 1

21 Goals for talk Understand the problem: Why a new scheduler? Understand reset events in credit1 and credit2 algorithms Know design target and plans for future, so that you can participate 2

22 Outline Issues with current scheduler Design target for new scheduler Theory: Reset condition Credit1 algorithm Credit2 algorithm Future work Load balancing Hyperthreading Power management NUMA 3

23 What s wrong with the old one? Client hypervisors and audio/video Audio VM: 5% CPU 2x Kernel-build VMs: 97% cpu each audio skips over 5 minutes Not fair to latency-sensitive workloads Network scp: Fair share 50%, usage 20-30% Load balancing 64 threads (4 x 8 x 2) Unpredictable Not scalable Power management, Hyperthreads 4

24 What to aim for Xen use cases Server consolidation Key challenge: large number of vcpus Virtual Desktop (VDI) Key challenge: large number of VMs Client virtualization (XenClient) Key challenge: audio and video 5

25 Design goals, con t Evaluation criteria Fairness: Getting what you were promised Throughput: Using all resources effectively Graceful performance degradation Issues to address Hyperthreading Performance depends on what the other thread is doing Power management NUMA Interface Reservation: Minimum CPU time Weight: How to divide CPU when overcommitted Cap: Maximum CPU time 6

26 Some theory Equivalence class of algorithms A value per vcpu (credits, time, debits) Value modified based on Time running Wall-clock time Time blocked / on runqueue Key problem: Not all vcpus use all their time Tendency towards divergence 7

27 Dealing with divergence Alternatives explored Guessing how much credit would be used Zero-sum: put in only as much as will be used Simple cap Best solution: Reset event Discards unused credits Tends to converge vcpus who have gotten too far behind Found in both Credit scheduler and BVT 8 scheduler

28 Credit1 issues Many weaknesses Long time-slice Sorting by priority rather than credit Probabilistic debiting Key issue: reset condition 9

29 Credit1: Core algortihm Two categories: active and inactive Active VMs Credit divided every 30ms according to weight Conceptually burn credits at a fixed rate Two priorities: UNDER and OVER Scheduling within a priority is round-robin Non-active VMs Do not earn or burn credits BOOST priority Transition Active to Inactive: earn 30ms of credit Inactive to active: interrupted by a tick (every 10ms) 10

30 Non-burner in Credit1 Inactive is an unstable place to be Guaranteed to be hit by a tick eventually E.g. audio, 5% of cpu 5% chance of getting hit by tick Expect 1 in 20 ticks to hit the VM Ticks every 10ms -> 200ms in boost Now in OVER Not burning all credits Will go back to inactive after accumulating 30ms All vcpus using less than their fair share will flip back and forth between active and inactive 11

31 Credit2 Reset condition is core to the algorithm Basic description Credits for all VMs start at a fixed value Credits consumed at different rates, based on weight Insert into runqueue based on credits Reset condition: When the credits of the vcpu at the front of the runqueue <=0 Set everyone s credits back to start value No runqueue sorting required Refinement: Clip-and-add Allows low-usage VMs to start at head of runqueue Scheduler may allow a vcpu to go negative 12

32 13

33 Other Changes: Runqueue per L2 Cache effects main reason to avoid migration Threads, cores share L2 Instant load balancing across cores / threads shared by an L2 Including most single-socket boxes 14

34 Early results Audio is better Same setup as before 0 skips Network is more fair Full 50% of CPU 15

35 Future work Load balancing Only need between L2 runqueues Heirarchical division Linux scheduling domain concept Explicit load balancing based on historical load Hyperthreading Adjust burn rate for shared threads Power management Weigh time waiting vs extra power NUMA Weigh time waiting for cpu vs remote cache misses 16

36 Outline Issues with current scheduler Design target for new scheduler Theory: Reset condition Credit1 algorithm Credit2 algorithm Future work Load balancing Hyperthreading Power management NUMA 17

37 Goals for talk Understand the problem: Why a new scheduler? Understand reset events in credit1 and credit2 algorithms Know design target and plans for future, so that you can participate 18

38 Questions 19

Scheduling in Xen: Present and Near Future

Scheduling in Xen: Present and Near Future Scheduling in Xen: Present and Near Future Dario Faggioli dario.faggioli@citrix.com Cambridge 27th of May, 2015 Introduction Cambridge 27th of May, 2015 Scheduling in Xen: Present and Near Future 2 / 33

More information

238P: Operating Systems. Lecture 14: Process scheduling

238P: Operating Systems. Lecture 14: Process scheduling 238P: Operating Systems Lecture 14: Process scheduling This lecture is heavily based on the material developed by Don Porter Anton Burtsev November, 2017 Cooperative vs preemptive What is cooperative multitasking?

More information

EECS 750: Advanced Operating Systems. 01/29 /2014 Heechul Yun

EECS 750: Advanced Operating Systems. 01/29 /2014 Heechul Yun EECS 750: Advanced Operating Systems 01/29 /2014 Heechul Yun 1 Administrative Next summary assignment Resource Containers: A New Facility for Resource Management in Server Systems, OSDI 99 due by 11:59

More information

ò mm_struct represents an address space in kernel ò task represents a thread in the kernel ò A task points to 0 or 1 mm_structs

ò mm_struct represents an address space in kernel ò task represents a thread in the kernel ò A task points to 0 or 1 mm_structs Last time We went through the high-level theory of scheduling algorithms Scheduling Today: View into how Linux makes its scheduling decisions Don Porter CSE 306 Lecture goals Understand low-level building

More information

Scheduling. Don Porter CSE 306

Scheduling. Don Porter CSE 306 Scheduling Don Porter CSE 306 Last time ò We went through the high-level theory of scheduling algorithms ò Today: View into how Linux makes its scheduling decisions Lecture goals ò Understand low-level

More information

Scheduling Mar. 19, 2018

Scheduling Mar. 19, 2018 15-410...Everything old is new again... Scheduling Mar. 19, 2018 Dave Eckhardt Brian Railing Roger Dannenberg 1 Outline Chapter 5 (or Chapter 7): Scheduling Scheduling-people/textbook terminology note

More information

Scheduling, part 2. Don Porter CSE 506

Scheduling, part 2. Don Porter CSE 506 Scheduling, part 2 Don Porter CSE 506 Logical Diagram Binary Memory Formats Allocators Threads Today s Lecture Switching System to CPU Calls RCU scheduling File System Networking Sync User Kernel Memory

More information

Abstract. Testing Parameters. Introduction. Hardware Platform. Native System

Abstract. Testing Parameters. Introduction. Hardware Platform. Native System Abstract In this paper, we address the latency issue in RT- XEN virtual machines that are available in Xen 4.5. Despite the advantages of applying virtualization to systems, the default credit scheduler

More information

Interactive Scheduling

Interactive Scheduling Interactive Scheduling 1 Two Level Scheduling Interactive systems commonly employ two-level scheduling CPU scheduler and Memory Scheduler Memory scheduler was covered in VM We will focus on CPU scheduling

More information

Two Level Scheduling. Interactive Scheduling. Our Earlier Example. Round Robin Scheduling. Round Robin Schedule. Round Robin Schedule

Two Level Scheduling. Interactive Scheduling. Our Earlier Example. Round Robin Scheduling. Round Robin Schedule. Round Robin Schedule Two Level Scheduling Interactive Scheduling Interactive systems commonly employ two-level scheduling CPU scheduler and Memory Scheduler Memory scheduler was covered in VM We will focus on CPU scheduling

More information

Scheduling in the Supermarket

Scheduling in the Supermarket Scheduling in the Supermarket Consider a line of people waiting in front of the checkout in the grocery store. In what order should the cashier process their purchases? Scheduling Criteria CPU utilization

More information

CS 326: Operating Systems. CPU Scheduling. Lecture 6

CS 326: Operating Systems. CPU Scheduling. Lecture 6 CS 326: Operating Systems CPU Scheduling Lecture 6 Today s Schedule Agenda? Context Switches and Interrupts Basic Scheduling Algorithms Scheduling with I/O Symmetric multiprocessing 2/7/18 CS 326: Operating

More information

Real-time scheduling for virtual machines in SK Telecom

Real-time scheduling for virtual machines in SK Telecom Real-time scheduling for virtual machines in SK Telecom Eunkyu Byun Cloud Computing Lab., SK Telecom Sponsored by: & & Cloud by Virtualization in SKT Provide virtualized ICT infra to customers like Amazon

More information

Recap. Run to completion in order of arrival Pros: simple, low overhead, good for batch jobs Cons: short jobs can stuck behind the long ones

Recap. Run to completion in order of arrival Pros: simple, low overhead, good for batch jobs Cons: short jobs can stuck behind the long ones Recap First-Come, First-Served (FCFS) Run to completion in order of arrival Pros: simple, low overhead, good for batch jobs Cons: short jobs can stuck behind the long ones Round-Robin (RR) FCFS with preemption.

More information

CFS-v: I/O Demand-driven VM Scheduler in KVM

CFS-v: I/O Demand-driven VM Scheduler in KVM CFS-v: Demand-driven VM Scheduler in KVM Hyotaek Shim and Sung-Min Lee (hyotaek.shim, sung.min.lee@samsung.com) Software R&D Center, Samsung Electronics 2014. 10. 16 Problem in Server Consolidation 2/16

More information

RT- Xen: Real- Time Virtualiza2on. Chenyang Lu Cyber- Physical Systems Laboratory Department of Computer Science and Engineering

RT- Xen: Real- Time Virtualiza2on. Chenyang Lu Cyber- Physical Systems Laboratory Department of Computer Science and Engineering RT- Xen: Real- Time Virtualiza2on Chenyang Lu Cyber- Physical Systems Laboratory Department of Computer Science and Engineering Embedded Systems Ø Consolidate 100 ECUs à ~10 multicore processors. Ø Integrate

More information

Who stole my CPU? Leonid Podolny Vineeth Remanan Pillai. Systems DigitalOcean

Who stole my CPU? Leonid Podolny Vineeth Remanan Pillai.  Systems DigitalOcean Who stole my CPU? Leonid Podolny Vineeth Remanan Pillai leonid@ vineeth@ Systems Engineering @ DigitalOcean 1 2 Introduction DigitalOcean Providing developers and businesses a reliable, easy-to-use cloud

More information

Course Syllabus. Operating Systems

Course Syllabus. Operating Systems Course Syllabus. Introduction - History; Views; Concepts; Structure 2. Process Management - Processes; State + Resources; Threads; Unix implementation of Processes 3. Scheduling Paradigms; Unix; Modeling

More information

PROCESS SCHEDULING Operating Systems Design Euiseong Seo

PROCESS SCHEDULING Operating Systems Design Euiseong Seo PROCESS SCHEDULING 2017 Operating Systems Design Euiseong Seo (euiseong@skku.edu) Histogram of CPU Burst Cycles Alternating Sequence of CPU and IO Processor Scheduling Selects from among the processes

More information

W4118: advanced scheduling

W4118: advanced scheduling W4118: advanced scheduling Instructor: Junfeng Yang References: Modern Operating Systems (3 rd edition), Operating Systems Concepts (8 th edition), previous W4118, and OS at MIT, Stanford, and UWisc Outline

More information

Announcements. Reading. Project #1 due in 1 week at 5:00 pm Scheduling Chapter 6 (6 th ed) or Chapter 5 (8 th ed) CMSC 412 S14 (lect 5)

Announcements. Reading. Project #1 due in 1 week at 5:00 pm Scheduling Chapter 6 (6 th ed) or Chapter 5 (8 th ed) CMSC 412 S14 (lect 5) Announcements Reading Project #1 due in 1 week at 5:00 pm Scheduling Chapter 6 (6 th ed) or Chapter 5 (8 th ed) 1 Relationship between Kernel mod and User Mode User Process Kernel System Calls User Process

More information

ò Paper reading assigned for next Tuesday ò Understand low-level building blocks of a scheduler User Kernel ò Understand competing policy goals

ò Paper reading assigned for next Tuesday ò Understand low-level building blocks of a scheduler User Kernel ò Understand competing policy goals Housekeeping Paper reading assigned for next Tuesday Scheduling Don Porter CSE 506 Memory Management Logical Diagram Binary Memory Formats Allocators Threads Today s Lecture Switching System to CPU Calls

More information

Introduction to Operating Systems Prof. Chester Rebeiro Department of Computer Science and Engineering Indian Institute of Technology, Madras

Introduction to Operating Systems Prof. Chester Rebeiro Department of Computer Science and Engineering Indian Institute of Technology, Madras Introduction to Operating Systems Prof. Chester Rebeiro Department of Computer Science and Engineering Indian Institute of Technology, Madras Week 05 Lecture 18 CPU Scheduling Hello. In this lecture, we

More information

Xen and the Art of Virtualization. CSE-291 (Cloud Computing) Fall 2016

Xen and the Art of Virtualization. CSE-291 (Cloud Computing) Fall 2016 Xen and the Art of Virtualization CSE-291 (Cloud Computing) Fall 2016 Why Virtualization? Share resources among many uses Allow heterogeneity in environments Allow differences in host and guest Provide

More information

VMware vsphere 4: The CPU Scheduler in VMware ESX 4 W H I T E P A P E R

VMware vsphere 4: The CPU Scheduler in VMware ESX 4 W H I T E P A P E R VMware vsphere 4: The CPU Scheduler in VMware ESX 4 W H I T E P A P E R Table of Contents 1 Introduction..................................................... 3 2 ESX CPU Scheduler Overview......................................

More information

Windows Server 2012: Server Virtualization

Windows Server 2012: Server Virtualization Windows Server 2012: Server Virtualization Module Manual Author: David Coombes, Content Master Published: 4 th September, 2012 Information in this document, including URLs and other Internet Web site references,

More information

CS Computer Systems. Lecture 6: Process Scheduling

CS Computer Systems. Lecture 6: Process Scheduling CS 5600 Computer Systems Lecture 6: Process Scheduling Scheduling Basics Simple Schedulers Priority Schedulers Fair Share Schedulers Multi-CPU Scheduling Case Study: The Linux Kernel 2 Setting the Stage

More information

Process management. Scheduling

Process management. Scheduling Process management Scheduling Points of scheduler invocation (recap) User Kernel Return from system call Process Schedule Return from interrupt handler Timer interrupts to ensure OS control Return from

More information

CISC 7310X. C05: CPU Scheduling. Hui Chen Department of Computer & Information Science CUNY Brooklyn College. 3/1/2018 CUNY Brooklyn College

CISC 7310X. C05: CPU Scheduling. Hui Chen Department of Computer & Information Science CUNY Brooklyn College. 3/1/2018 CUNY Brooklyn College CISC 7310X C05: CPU Scheduling Hui Chen Department of Computer & Information Science CUNY Brooklyn College 3/1/2018 CUNY Brooklyn College 1 Outline Recap & issues CPU Scheduling Concepts Goals and criteria

More information

Real-Time Internet of Things

Real-Time Internet of Things Real-Time Internet of Things Chenyang Lu Cyber-Physical Systems Laboratory h7p://www.cse.wustl.edu/~lu/ Internet of Things Ø Convergence of q Miniaturized devices: integrate processor, sensors and radios.

More information

Comp 310 Computer Systems and Organization

Comp 310 Computer Systems and Organization Comp 310 Computer Systems and Organization Lecture #9 Process Management (CPU Scheduling) 1 Prof. Joseph Vybihal Announcements Oct 16 Midterm exam (in class) In class review Oct 14 (½ class review) Ass#2

More information

Properties of Processes

Properties of Processes CPU Scheduling Properties of Processes CPU I/O Burst Cycle Process execution consists of a cycle of CPU execution and I/O wait. CPU burst distribution: CPU Scheduler Selects from among the processes that

More information

Improving CPU Performance of Xen Hypervisor in Virtualized Environment

Improving CPU Performance of Xen Hypervisor in Virtualized Environment ISSN: 2393-8528 Contents lists available at www.ijicse.in International Journal of Innovative Computer Science & Engineering Volume 5 Issue 3; May-June 2018; Page No. 14-19 Improving CPU Performance of

More information

Chapter 6: CPU Scheduling. Operating System Concepts 9 th Edition

Chapter 6: CPU Scheduling. Operating System Concepts 9 th Edition Chapter 6: CPU Scheduling Silberschatz, Galvin and Gagne 2013 Chapter 6: CPU Scheduling Basic Concepts Scheduling Criteria Scheduling Algorithms Thread Scheduling Multiple-Processor Scheduling Real-Time

More information

Consulting Solutions WHITE PAPER Citrix XenDesktop XenApp 6.x Planning Guide: Virtualization Best Practices

Consulting Solutions WHITE PAPER Citrix XenDesktop XenApp 6.x Planning Guide: Virtualization Best Practices Consulting Solutions WHITE PAPER Citrix XenDesktop XenApp 6.x Planning Guide: Virtualization Best Practices www.citrix.com Table of Contents Overview... 3 Scalability... 3 Guidelines... 4 Operations...

More information

Janus: A-Cross-Layer Soft Real- Time Architecture for Virtualization

Janus: A-Cross-Layer Soft Real- Time Architecture for Virtualization Janus: A-Cross-Layer Soft Real- Time Architecture for Virtualization Raoul Rivas, Ahsan Arefin, Klara Nahrstedt UPCRC, University of Illinois at Urbana-Champaign Video Sharing, Internet TV and Teleimmersive

More information

Performance & Scalability Testing in Virtual Environment Hemant Gaidhani, Senior Technical Marketing Manager, VMware

Performance & Scalability Testing in Virtual Environment Hemant Gaidhani, Senior Technical Marketing Manager, VMware Performance & Scalability Testing in Virtual Environment Hemant Gaidhani, Senior Technical Marketing Manager, VMware 2010 VMware Inc. All rights reserved About the Speaker Hemant Gaidhani Senior Technical

More information

Memory Management Virtual Memory

Memory Management Virtual Memory Memory Management Virtual Memory Part of A3 course (by Theo Schouten) Biniam Gebremichael http://www.cs.ru.nl/~biniam/ Office: A6004 April 4 2005 Content Virtual memory Definition Advantage and challenges

More information

Multi-Level Feedback Queues

Multi-Level Feedback Queues CS 326: Operating Systems Multi-Level Feedback Queues Lecture 8 Today s Schedule Building an Ideal Scheduler Priority-Based Scheduling Multi-Level Queues Multi-Level Feedback Queues Scheduling Domains

More information

Scheduler Support for Video-oriented Multimedia on Client-side Virtualization

Scheduler Support for Video-oriented Multimedia on Client-side Virtualization Scheduler Support for Video-oriented Multimedia on Client-side Virtualization Hwanju Kim 1, Jinkyu Jeong 1, Jaeho Hwang 1, Joonwon Lee 2, and Seungryoul Maeng 1 Korea Advanced Institute of Science and

More information

Performance Optimization on Huawei Public and Private Cloud

Performance Optimization on Huawei Public and Private Cloud Performance Optimization on Huawei Public and Private Cloud Jinsong Liu Lei Gong Agenda Optimization for LHP Balance scheduling RTC optimization 2 Agenda

More information

Operating Systems. Scheduling

Operating Systems. Scheduling Operating Systems Scheduling Process States Blocking operation Running Exit Terminated (initiate I/O, down on semaphore, etc.) Waiting Preempted Picked by scheduler Event arrived (I/O complete, semaphore

More information

Improving Virtual Machine Scheduling in NUMA Multicore Systems

Improving Virtual Machine Scheduling in NUMA Multicore Systems Improving Virtual Machine Scheduling in NUMA Multicore Systems Jia Rao, Xiaobo Zhou University of Colorado, Colorado Springs Kun Wang, Cheng-Zhong Xu Wayne State University http://cs.uccs.edu/~jrao/ Multicore

More information

Performance Evaluation of Virtualization Technologies

Performance Evaluation of Virtualization Technologies Performance Evaluation of Virtualization Technologies Saad Arif Dept. of Electrical Engineering and Computer Science University of Central Florida - Orlando, FL September 19, 2013 1 Introduction 1 Introduction

More information

Computer Science 4500 Operating Systems

Computer Science 4500 Operating Systems Computer Science 4500 Operating Systems Module 6 Process Scheduling Methods Updated: September 25, 2014 2008 Stanley A. Wileman, Jr. Operating Systems Slide 1 1 In This Module Batch and interactive workloads

More information

RT#Xen:(Real#Time( Virtualiza2on(for(the(Cloud( Chenyang(Lu( Cyber-Physical(Systems(Laboratory( Department(of(Computer(Science(and(Engineering(

RT#Xen:(Real#Time( Virtualiza2on(for(the(Cloud( Chenyang(Lu( Cyber-Physical(Systems(Laboratory( Department(of(Computer(Science(and(Engineering( RT#Xen:(Real#Time( Virtualiza2on(for(the(Cloud( Chenyang(Lu( Cyber-Physical(Systems(Laboratory( Department(of(Computer(Science(and(Engineering( Real#Time(Virtualiza2on(! Cars are becoming real-time mini-clouds!!

More information

Scalable Linux Scheduling (Paper # 9)

Scalable Linux Scheduling (Paper # 9) Scalable Linux Scheduling (Paper # 9) Scalability: the ability to support large number of threads. 30% of the total CPU time is spent in the scheduler when the number of running threads is high. Linux

More information

CS370 Operating Systems

CS370 Operating Systems CS370 Operating Systems Colorado State University Yashwant K Malaiya Fall 2017 Lecture 10 Slides based on Text by Silberschatz, Galvin, Gagne Various sources 1 1 Chapter 6: CPU Scheduling Basic Concepts

More information

Task Scheduling of Real- Time Media Processing with Hardware-Assisted Virtualization Heikki Holopainen

Task Scheduling of Real- Time Media Processing with Hardware-Assisted Virtualization Heikki Holopainen Task Scheduling of Real- Time Media Processing with Hardware-Assisted Virtualization Heikki Holopainen Aalto University School of Electrical Engineering Degree Programme in Communications Engineering Supervisor:

More information

CS370 Operating Systems

CS370 Operating Systems CS370 Operating Systems Colorado State University Yashwant K Malaiya Fall 2017 Lecture 27 Virtualization Slides based on Various sources 1 1 Virtualization Why we need virtualization? The concepts and

More information

Spiral 1 / Unit 6. Flip-flops and Registers

Spiral 1 / Unit 6. Flip-flops and Registers 1-5.1 Spiral 1 / Unit 6 Flip-flops and Registers 1-5.2 Outcomes I know the difference between combinational and sequential logic and can name examples of each. I understand latency, throughput, and at

More information

What s New in VMware vsphere 4.1 Performance. VMware vsphere 4.1

What s New in VMware vsphere 4.1 Performance. VMware vsphere 4.1 What s New in VMware vsphere 4.1 Performance VMware vsphere 4.1 T E C H N I C A L W H I T E P A P E R Table of Contents Scalability enhancements....................................................................

More information

Preserving I/O Prioritization in Virtualized OSes

Preserving I/O Prioritization in Virtualized OSes Preserving I/O Prioritization in Virtualized OSes Kun Suo 1, Yong Zhao 1, Jia Rao 1, Luwei Cheng 2, Xiaobo Zhou 3, Francis C. M. Lau 4 The University of Texas at Arlington 1, Facebook 2, University of

More information

Outcomes. Spiral 1 / Unit 6. Flip Flops FLIP FLOPS AND REGISTERS. Flip flops and Registers. Outputs only change once per clock period

Outcomes. Spiral 1 / Unit 6. Flip Flops FLIP FLOPS AND REGISTERS. Flip flops and Registers. Outputs only change once per clock period 1-5.1 1-5.2 Spiral 1 / Unit 6 Flip flops and Registers Mark Redekopp Outcomes I know the difference between combinational and sequential logic and can name examples of each. I understand latency, throughput,

More information

Huawei FusionCloud Desktop Solution 5.1 Resource Reuse Technical White Paper HUAWEI TECHNOLOGIES CO., LTD. Issue 01.

Huawei FusionCloud Desktop Solution 5.1 Resource Reuse Technical White Paper HUAWEI TECHNOLOGIES CO., LTD. Issue 01. Huawei FusionCloud Desktop Solution 5.1 Resource Reuse Technical White Paper Issue 01 Date 2014-03-26 HUAWEI TECHNOLOGIES CO., LTD. 2014. All rights reserved. No part of this document may be reproduced

More information

CS140 Operating Systems Midterm Review. Feb. 5 th, 2009 Derrick Isaacson

CS140 Operating Systems Midterm Review. Feb. 5 th, 2009 Derrick Isaacson CS140 Operating Systems Midterm Review Feb. 5 th, 2009 Derrick Isaacson Midterm Quiz Tues. Feb. 10 th In class (4:15-5:30 Skilling) Open book, open notes (closed laptop) Bring printouts You won t have

More information

OPERATING SYSTEMS. After A.S.Tanenbaum, Modern Operating Systems, 3rd edition. Uses content with permission from Assoc. Prof. Florin Fortis, PhD

OPERATING SYSTEMS. After A.S.Tanenbaum, Modern Operating Systems, 3rd edition. Uses content with permission from Assoc. Prof. Florin Fortis, PhD OPERATING SYSTEMS #5 After A.S.Tanenbaum, Modern Operating Systems, 3rd edition Uses content with permission from Assoc. Prof. Florin Fortis, PhD General information GENERAL INFORMATION Cooperating processes

More information

CS3733: Operating Systems

CS3733: Operating Systems CS3733: Operating Systems Topics: Process (CPU) Scheduling (SGG 5.1-5.3, 6.7 and web notes) Instructor: Dr. Dakai Zhu 1 Updates and Q&A Homework-02: late submission allowed until Friday!! Submit on Blackboard

More information

CS 571 Operating Systems. Midterm Review. Angelos Stavrou, George Mason University

CS 571 Operating Systems. Midterm Review. Angelos Stavrou, George Mason University CS 571 Operating Systems Midterm Review Angelos Stavrou, George Mason University Class Midterm: Grading 2 Grading Midterm: 25% Theory Part 60% (1h 30m) Programming Part 40% (1h) Theory Part (Closed Books):

More information

Virtual Machines Disco and Xen (Lecture 10, cs262a) Ion Stoica & Ali Ghodsi UC Berkeley February 26, 2018

Virtual Machines Disco and Xen (Lecture 10, cs262a) Ion Stoica & Ali Ghodsi UC Berkeley February 26, 2018 Virtual Machines Disco and Xen (Lecture 10, cs262a) Ion Stoica & Ali Ghodsi UC Berkeley February 26, 2018 Today s Papers Disco: Running Commodity Operating Systems on Scalable Multiprocessors, Edouard

More information

Unit 5: Distributed, Real-Time, and Multimedia Systems

Unit 5: Distributed, Real-Time, and Multimedia Systems Unit 5: Distributed, Real-Time, and Multimedia Systems Unit Overview Unit 5 provides an extension to the core topics of operating systems. It introduces distributed systems and special-purpose operating

More information

Chapter 5 C. Virtual machines

Chapter 5 C. Virtual machines Chapter 5 C Virtual machines Virtual Machines Host computer emulates guest operating system and machine resources Improved isolation of multiple guests Avoids security and reliability problems Aids sharing

More information

CPU Scheduling: Objectives

CPU Scheduling: Objectives CPU Scheduling: Objectives CPU scheduling, the basis for multiprogrammed operating systems CPU-scheduling algorithms Evaluation criteria for selecting a CPU-scheduling algorithm for a particular system

More information

CS 590: High Performance Computing. Parallel Computer Architectures. Lab 1 Starts Today. Already posted on Canvas (under Assignment) Let s look at it

CS 590: High Performance Computing. Parallel Computer Architectures. Lab 1 Starts Today. Already posted on Canvas (under Assignment) Let s look at it Lab 1 Starts Today Already posted on Canvas (under Assignment) Let s look at it CS 590: High Performance Computing Parallel Computer Architectures Fengguang Song Department of Computer Science IUPUI 1

More information

Tackling the Management Challenges of Server Consolidation on Multi-core System

Tackling the Management Challenges of Server Consolidation on Multi-core System Tackling the Management Challenges of Server Consolidation on Multi-core System Hui Lv (hui.lv@intel.com) Intel June. 2011 1 Agenda SPECvirt_sc2010* Introduction SPECvirt_sc2010* Workload Scalability Analysis

More information

Job Scheduling. CS170 Fall 2018

Job Scheduling. CS170 Fall 2018 Job Scheduling CS170 Fall 2018 What to Learn? Algorithms of job scheduling, which maximizes CPU utilization obtained with multiprogramming Select from ready processes and allocates the CPU to one of them

More information

Datenbanksysteme II: Modern Hardware. Stefan Sprenger November 23, 2016

Datenbanksysteme II: Modern Hardware. Stefan Sprenger November 23, 2016 Datenbanksysteme II: Modern Hardware Stefan Sprenger November 23, 2016 Content of this Lecture Introduction to Modern Hardware CPUs, Cache Hierarchy Branch Prediction SIMD NUMA Cache-Sensitive Skip List

More information

Consulting Solutions WHITE PAPER Citrix XenDesktop XenApp Planning Guide: Virtualization Best Practices

Consulting Solutions WHITE PAPER Citrix XenDesktop XenApp Planning Guide: Virtualization Best Practices Consulting Solutions WHITE PAPER Citrix XenDesktop XenApp Planning Guide: Virtualization Best Practices www.citrix.com Overview Desktop virtualization comprises of many different types of virtual desktops.

More information

AutoNUMA Red Hat, Inc.

AutoNUMA Red Hat, Inc. AutoNUMA Red Hat, Inc. Andrea Arcangeli aarcange at redhat.com 1 Apr 2012 AutoNUMA components knuma_scand If stopped, everything stops Triggers the chain reaction when started NUMA hinting page faults

More information

PAGE REPLACEMENT. Operating Systems 2015 Spring by Euiseong Seo

PAGE REPLACEMENT. Operating Systems 2015 Spring by Euiseong Seo PAGE REPLACEMENT Operating Systems 2015 Spring by Euiseong Seo Today s Topics What if the physical memory becomes full? Page replacement algorithms How to manage memory among competing processes? Advanced

More information

Enhancing Linux Scheduler Scalability

Enhancing Linux Scheduler Scalability Enhancing Linux Scheduler Scalability Mike Kravetz IBM Linux Technology Center Hubertus Franke, Shailabh Nagar, Rajan Ravindran IBM Thomas J. Watson Research Center {mkravetz,frankeh,nagar,rajancr}@us.ibm.com

More information

Kernel Korner What's New in the 2.6 Scheduler

Kernel Korner What's New in the 2.6 Scheduler Kernel Korner What's New in the 2.6 Scheduler When large SMP systems started spending more time scheduling processes than running them, it was time for a change. by Rick Lindsley As work began on the 2.5

More information

Case Study. Windows XP. Windows Operating System Internals - by David A. Solomon and Mark E. Russinovich with Andreas Polze

Case Study. Windows XP. Windows Operating System Internals - by David A. Solomon and Mark E. Russinovich with Andreas Polze Case Study Windows XP Windows Operating System Internals - by David A. Solomon and Mark E. Russinovich with Andreas Polze Background Architecture Windows Operating System Internals - by David A. Solomon

More information

LECTURE 3:CPU SCHEDULING

LECTURE 3:CPU SCHEDULING LECTURE 3:CPU SCHEDULING 1 Outline Basic Concepts Scheduling Criteria Scheduling Algorithms Multiple-Processor Scheduling Real-Time CPU Scheduling Operating Systems Examples Algorithm Evaluation 2 Objectives

More information

Intel Hyper-Threading technology

Intel Hyper-Threading technology Intel Hyper-Threading technology technology brief Abstract... 2 Introduction... 2 Hyper-Threading... 2 Need for the technology... 2 What is Hyper-Threading?... 3 Inside the technology... 3 Compatibility...

More information

CPU Scheduling. The scheduling problem: When do we make decision? - Have K jobs ready to run - Have N 1 CPUs - Which jobs to assign to which CPU(s)

CPU Scheduling. The scheduling problem: When do we make decision? - Have K jobs ready to run - Have N 1 CPUs - Which jobs to assign to which CPU(s) CPU Scheduling The scheduling problem: - Have K jobs ready to run - Have N 1 CPUs - Which jobs to assign to which CPU(s) When do we make decision? 1 / 39 CPU Scheduling new admitted interrupt exit terminated

More information

CS 4284 Systems Capstone. Resource Allocation & Scheduling Godmar Back

CS 4284 Systems Capstone. Resource Allocation & Scheduling Godmar Back CS 4284 Systems Capstone Resource Allocation & Scheduling Godmar Back Resource Allocation and Scheduling Resource Allocation & Scheduling Resource management is primary OS function Involves resource allocation

More information

Processes, Execution, and State. What is CPU Scheduling? Goals and Metrics. Rectified Scheduling Metrics. CPU Scheduling: Proposed Metrics 4/6/2016

Processes, Execution, and State. What is CPU Scheduling? Goals and Metrics. Rectified Scheduling Metrics. CPU Scheduling: Proposed Metrics 4/6/2016 Processes, Execution, and State Operating Systems Principles Scheduling Algorithms, Mechanisms, Performance Mark Kampe (markk@cs.ucla.edu) 4A. Introduction to Scheduling 4B. Non-Preemptive Scheduling 4C.

More information

Simultaneous Multithreading on Pentium 4

Simultaneous Multithreading on Pentium 4 Hyper-Threading: Simultaneous Multithreading on Pentium 4 Presented by: Thomas Repantis trep@cs.ucr.edu CS203B-Advanced Computer Architecture, Spring 2004 p.1/32 Overview Multiple threads executing on

More information

Memory Management Outline. Operating Systems. Motivation. Paging Implementation. Accessing Invalid Pages. Performance of Demand Paging

Memory Management Outline. Operating Systems. Motivation. Paging Implementation. Accessing Invalid Pages. Performance of Demand Paging Memory Management Outline Operating Systems Processes (done) Memory Management Basic (done) Paging (done) Virtual memory Virtual Memory (Chapter.) Motivation Logical address space larger than physical

More information

Scheduling Bits & Pieces

Scheduling Bits & Pieces Scheduling Bits & Pieces 1 Windows Scheduling 2 Windows Scheduling Priority Boost when unblocking Actual boost dependent on resource Disk (1), serial (2), keyboard (6), soundcard (8).. Interactive, window

More information

Test Methodology We conducted tests by adding load and measuring the performance of the environment components:

Test Methodology We conducted tests by adding load and measuring the performance of the environment components: Scalability Considerations for Using the XenApp and XenDesktop Service Local Host Cache Feature with Citrix Cloud Connector Author: Jahed Iqbal Overview The local host cache feature in the XenApp and XenDesktop

More information

Chapter 5 CPU scheduling

Chapter 5 CPU scheduling Chapter 5 CPU scheduling Contents Basic Concepts Scheduling Criteria Scheduling Algorithms Multiple-Processor Scheduling Real-Time Scheduling Thread Scheduling Operating Systems Examples Java Thread Scheduling

More information

Analysis of the BFS Scheduler in FreeBSD

Analysis of the BFS Scheduler in FreeBSD CS2106R Final Report Analysis of the BFS Scheduler in FreeBSD By Vaarnan Drolia Department of Computer Science School of Computing National University of Singapore 2011/12 CS2106R Final Report Analysis

More information

Caching and Demand-Paged Virtual Memory

Caching and Demand-Paged Virtual Memory Caching and Demand-Paged Virtual Memory Definitions Cache Copy of data that is faster to access than the original Hit: if cache has copy Miss: if cache does not have copy Cache block Unit of cache storage

More information

Load Balancing. Minsoo Ryu. Department of Computer Science and Engineering. Hanyang University. Real-Time Computing and Communications Lab.

Load Balancing. Minsoo Ryu. Department of Computer Science and Engineering. Hanyang University. Real-Time Computing and Communications Lab. Load Balancing Minsoo Ryu Department of Computer Science and Engineering 2 1 Concepts of Load Balancing Page X 2 Load Balancing Algorithms Page X 3 Overhead of Load Balancing Page X 4 Load Balancing in

More information

Five reasons to choose Citrix XenServer

Five reasons to choose Citrix XenServer Five reasons to choose Citrix XenServer The installation process, server management, workload performance, desktop and application delivery and cost of XenServer make it the clear choice in server virtualization

More information

CS370 Operating Systems

CS370 Operating Systems CS370 Operating Systems Colorado State University Yashwant K Malaiya Spring 2019 Lecture 8 Scheduling Slides based on Text by Silberschatz, Galvin, Gagne Various sources 1 1 FAQ POSIX: Portable Operating

More information

RT- Xen: Real- Time Virtualiza2on from embedded to cloud compu2ng

RT- Xen: Real- Time Virtualiza2on from embedded to cloud compu2ng RT- Xen: Real- Time Virtualiza2on from embedded to cloud compu2ng Chenyang Lu Cyber- Physical Systems Laboratory Department of Computer Science and Engineering Real- Time Virtualiza2on for Cars Ø Consolidate

More information

G Robert Grimm New York University

G Robert Grimm New York University G22.3250-001 Receiver Livelock Robert Grimm New York University Altogether Now: The Three Questions What is the problem? What is new or different? What are the contributions and limitations? Motivation

More information

CPU Scheduling. Daniel Mosse. (Most slides are from Sherif Khattab and Silberschatz, Galvin and Gagne 2013)

CPU Scheduling. Daniel Mosse. (Most slides are from Sherif Khattab and Silberschatz, Galvin and Gagne 2013) CPU Scheduling Daniel Mosse (Most slides are from Sherif Khattab and Silberschatz, Galvin and Gagne 2013) Basic Concepts Maximum CPU utilization obtained with multiprogramming CPU I/O Burst Cycle Process

More information

Multiprocessor Systems. COMP s1

Multiprocessor Systems. COMP s1 Multiprocessor Systems 1 Multiprocessor System We will look at shared-memory multiprocessors More than one processor sharing the same memory A single CPU can only go so fast Use more than one CPU to improve

More information

Outcomes. Spiral 1 / Unit 6. Flip Flops FLIP FLOPS AND REGISTERS. Flip flops and Registers. Outputs only change once per clock period

Outcomes. Spiral 1 / Unit 6. Flip Flops FLIP FLOPS AND REGISTERS. Flip flops and Registers. Outputs only change once per clock period 1-6.1 1-6.2 Spiral 1 / Unit 6 Flip flops and Registers Mark Redekopp Outcomes I know the difference between combinational and sequential logic and can name examples of each. I understand latency, throughput,

More information

CSE 120 Principles of Operating Systems

CSE 120 Principles of Operating Systems CSE 120 Principles of Operating Systems Spring 2018 Lecture 16: Virtual Machine Monitors Geoffrey M. Voelker Virtual Machine Monitors 2 Virtual Machine Monitors Virtual Machine Monitors (VMMs) are a hot

More information

OPERATING SYSTEMS CS3502 Spring Processor Scheduling. Chapter 5

OPERATING SYSTEMS CS3502 Spring Processor Scheduling. Chapter 5 OPERATING SYSTEMS CS3502 Spring 2018 Processor Scheduling Chapter 5 Goals of Processor Scheduling Scheduling is the sharing of the CPU among the processes in the ready queue The critical activities are:

More information

Empirical Evaluation of Latency-Sensitive Application Performance in the Cloud

Empirical Evaluation of Latency-Sensitive Application Performance in the Cloud Empirical Evaluation of Latency-Sensitive Application Performance in the Cloud Sean Barker and Prashant Shenoy University of Massachusetts Amherst Department of Computer Science Cloud Computing! Cloud

More information

CHAPTER 16 - VIRTUAL MACHINES

CHAPTER 16 - VIRTUAL MACHINES CHAPTER 16 - VIRTUAL MACHINES 1 OBJECTIVES Explore history and benefits of virtual machines. Discuss the various virtual machine technologies. Describe the methods used to implement virtualization. Show

More information

SIMPLIFIED VDI WITH RED HAT ENTERPRISE VIRTUALIZATION FOR DESKTOPS

SIMPLIFIED VDI WITH RED HAT ENTERPRISE VIRTUALIZATION FOR DESKTOPS SIMPLIFIED VDI WITH RED HAT ENTERPRISE VIRTUALIZATION FOR DESKTOPS Jeff Jameson, Product Marketing Manager Dave Simmons, Prin. Solutions Architect 6.27.12 AGENDA RHEV in the Virtualization Market What

More information

Keeping up with the hardware

Keeping up with the hardware Keeping up with the hardware Challenges in scaling I/O performance Jonathan Davies XenServer System Performance Lead XenServer Engineering, Citrix Cambridge, UK 18 Aug 2015 Jonathan Davies (Citrix) Keeping

More information

High level scheduling: Medium level scheduling: Low level scheduling. Scheduling 0 : Levels

High level scheduling: Medium level scheduling: Low level scheduling. Scheduling 0 : Levels Scheduling 0 : Levels High level scheduling: Deciding whether another process can run is process table full? user process limit reached? load to swap space or memory? Medium level scheduling: Balancing

More information