Coupling Thursday, October 21, :23 PM

Size: px
Start display at page:

Download "Coupling Thursday, October 21, :23 PM"

Transcription

1 Coupling Page 1 Coupling Thursday, October 21, :23 PM Two kinds of multiple-processor systems Tightly-coupled Can share efficient semaphores. Usually involve some form of shared memory. Loosely-coupled Processes use processors with independent memory. Semaphores are slow.

2 Message-passing One process "sends" a message to another. Two primitives "send" and "recv". Send: send a message to a process or group of processes. Recv: receive a message from a process. "mailbox": buffer that can be sent to or received from. Primitives Create mailbox Delete mailbox Send to mailbox Receive from mailbox Coupling Page 2

3 Coupling Page 3

4 Coupling Page 4

5 Coupling Page 5

6 Coupling Page 6

7 Coupling Page 7

8 Coupling Page 8 Time has no meaning in a distributed system: clock drift means that no clocks will agree. No sense of time, only precedence.

9 Coupling Page 9 Multiple sends Mailboxes must be queues, or sends will block.

10 Coupling Page 10 Synchronization: "Brain-dead sync": semaphore is reactive process Notes: Semaphore is single-threaded daemon Queues requests; acts in order of receipt Requires queue for strong behavior

11 Coupling Page 11 Aside: we are not far from creating a database server here. basic thing that a database server provides: atomicity over distributed operations. serialization: queues into some (random) order, plays back requests in serial stream. only difference between lock server and db server is complexity of queries.

12 Coupling Page 12 Network Semaphore Properties Queues (serialized FIFO) Slow (waits for ACK) Lots of communications.

13 Coupling Page 13 Good and bad news Good news: can construct semaphores from message-passing. Bad news: it's reallllly slow.

14 Coupling Page 14 Kinds of message-passing Blocking send and receive Sender doesn't block, receiver blocks. (normal) (annoying: sends are asynchronous, process won't die until it's done with them) Neither blocks

15 Coupling Page 15 Synchronization Thursday, October 21, :26 PM Generally, no form of "tight" synchronization for processes in a loosly coupled environment. Clocks don't agree. Messages take unknown time to travel. New "loose" form of synchronization: "barriers". A group of processes waits till all are in desirable states. Implementable via message-passing.

16 Key to synchronization: A message receipt is a synchronization event. It says that the process that sent the message is now in a specific state. Coupling Page 16

17 Example of barrier synchronization Coupling Page 17

18 Optimal barrier sync (lowest network overhead without broadcast) Arrange nodes into a tree "collect" responses from children One node (root) gets all responses Root forwards responses to all descendants Coupling Page 18

19 Coupling Page 19 Network resource sharing Thursday, October 21, :29 PM Network resource sharing Locking daemons Distributed voting

20 Coupling Page 20 Locking daemons Thursday, October 21, :30 PM Locking daemons Create an artificial domain of atomicity by creating a resource for which one must wait. Implicitly serialize resource requests. If applications do not proceed until they are granted a lock, then their operations are atomic (within the set of cooperating processes sharing a lockable resource). Caveat: participation is voluntary.

21 Coupling Page 21 Common daemons with atomicity properties Database servers. Object servers ("web services") File servers (e.g., NFS lockd) Common daemons without atomicity properties Web servers Session servers (e.g., sshd)

22 Coupling Page 22

23 Coupling Page 23 File sharing Thursday, October 21, :43 PM Problem of file sharing: what is exclusive access? int fd = open("/g/111/class/a2/t2.o", O_EXCL O_CREAT O_WRONLY); // exclusive write O_WRONLY: open for writing O_CREAT: create if not present O_EXCL: fail if other processes have it open. Same problems all over again: Readers/writers races. Deadlock waiting for resources to be allocated. Catch: this file cannot be local. It's on a file server (netapp01) how to make this "predictable". what's reasonable?

24 Coupling Page 24 Local domain: global knowledge of file descriptors Can serialize writes in the kernel. Network file system: No global knowledge of file descriptors. No good knowledge of race competitors. asynchronous No way for kernel to serialize creat is not atomic without another mechanism to assure it.

25 Coupling Page 25

26 Coupling Page 26 Summary Monday, October 24, :36 PM Kernel serializes local requests On network, no concept of serial kernel => no intrinsic ability to serialize. Relying upon locking daemons (essentially glorified semaphores in network domain) provides serialization that kernel provided before.

Threads Tuesday, September 28, :37 AM

Threads Tuesday, September 28, :37 AM Threads_and_fabrics Page 1 Threads Tuesday, September 28, 2004 10:37 AM Threads A process includes an execution context containing Memory map PC and register values. Switching between memory maps can take

More information

Concurrency: Deadlock and Starvation

Concurrency: Deadlock and Starvation Concurrency: Deadlock and Starvation Chapter 6 E&CE 354: Processes 1 Deadlock Deadlock = situation in which every process from a set is permanently blocked, i.e. cannot proceed with execution Common cause:

More information

CSE 153 Design of Operating Systems

CSE 153 Design of Operating Systems CSE 153 Design of Operating Systems Winter 2018 Midterm Review Midterm in class on Monday Covers material through scheduling and deadlock Based upon lecture material and modules of the book indicated on

More information

Chapter 5 Concurrency: Mutual Exclusion and Synchronization

Chapter 5 Concurrency: Mutual Exclusion and Synchronization Operating Systems: Internals and Design Principles Chapter 5 Concurrency: Mutual Exclusion and Synchronization Seventh Edition By William Stallings Designing correct routines for controlling concurrent

More information

IT 540 Operating Systems ECE519 Advanced Operating Systems

IT 540 Operating Systems ECE519 Advanced Operating Systems IT 540 Operating Systems ECE519 Advanced Operating Systems Prof. Dr. Hasan Hüseyin BALIK (5 th Week) (Advanced) Operating Systems 5. Concurrency: Mutual Exclusion and Synchronization 5. Outline Principles

More information

Concurrency, Mutual Exclusion and Synchronization C H A P T E R 5

Concurrency, Mutual Exclusion and Synchronization C H A P T E R 5 Concurrency, Mutual Exclusion and Synchronization C H A P T E R 5 Multiple Processes OS design is concerned with the management of processes and threads: Multiprogramming Multiprocessing Distributed processing

More information

Recall from deadlock lecture. Tuesday, October 18, 2011

Recall from deadlock lecture. Tuesday, October 18, 2011 Recall from deadlock lecture Tuesday, October 18, 2011 1:17 PM Basic assumptions of deadlock theory: If a process gets the resources it requests, it completes, exits, and releases resources. There are

More information

Chapter 5 Concurrency: Mutual Exclusion. and. Synchronization. Operating Systems: Internals. and. Design Principles

Chapter 5 Concurrency: Mutual Exclusion. and. Synchronization. Operating Systems: Internals. and. Design Principles Operating Systems: Internals and Design Principles Chapter 5 Concurrency: Mutual Exclusion and Synchronization Seventh Edition By William Stallings Designing correct routines for controlling concurrent

More information

CS 31: Intro to Systems Misc. Threading. Kevin Webb Swarthmore College December 6, 2018

CS 31: Intro to Systems Misc. Threading. Kevin Webb Swarthmore College December 6, 2018 CS 31: Intro to Systems Misc. Threading Kevin Webb Swarthmore College December 6, 2018 Classic thread patterns Agenda Pthreads primitives and examples of other forms of synchronization: Condition variables

More information

Distributed Systems. coordination Johan Montelius ID2201. Distributed Systems ID2201

Distributed Systems. coordination Johan Montelius ID2201. Distributed Systems ID2201 Distributed Systems ID2201 coordination Johan Montelius 1 Coordination Coordinating several threads in one node is a problem, coordination in a network is of course worse: failure of nodes and networks

More information

Suggested Solutions (Midterm Exam October 27, 2005)

Suggested Solutions (Midterm Exam October 27, 2005) Suggested Solutions (Midterm Exam October 27, 2005) 1 Short Questions (4 points) Answer the following questions (True or False). Use exactly one sentence to describe why you choose your answer. Without

More information

Resource management. Real-Time Systems. Resource management. Resource management

Resource management. Real-Time Systems. Resource management. Resource management Real-Time Systems Specification Implementation Verification Mutual exclusion is a general problem that exists at several levels in a real-time system. Shared resources internal to the the run-time system:

More information

Coordination and Agreement

Coordination and Agreement Coordination and Agreement Nicola Dragoni Embedded Systems Engineering DTU Informatics 1. Introduction 2. Distributed Mutual Exclusion 3. Elections 4. Multicast Communication 5. Consensus and related problems

More information

Operating Systems (234123) Spring (Homework 3 Wet) Homework 3 Wet

Operating Systems (234123) Spring (Homework 3 Wet) Homework 3 Wet Due date: Monday, 4/06/2012 12:30 noon Teaching assistants in charge: Operating Systems (234123) Spring-2012 Homework 3 Wet Anastasia Braginsky All emails regarding this assignment should be sent only

More information

Operating Systems. Lecture 4 - Concurrency and Synchronization. Master of Computer Science PUF - Hồ Chí Minh 2016/2017

Operating Systems. Lecture 4 - Concurrency and Synchronization. Master of Computer Science PUF - Hồ Chí Minh 2016/2017 Operating Systems Lecture 4 - Concurrency and Synchronization Adrien Krähenbühl Master of Computer Science PUF - Hồ Chí Minh 2016/2017 Mutual exclusion Hardware solutions Semaphores IPC: Message passing

More information

Tasks. Task Implementation and management

Tasks. Task Implementation and management Tasks Task Implementation and management Tasks Vocab Absolute time - real world time Relative time - time referenced to some event Interval - any slice of time characterized by start & end times Duration

More information

CS 318 Principles of Operating Systems

CS 318 Principles of Operating Systems CS 318 Principles of Operating Systems Fall 2017 Midterm Review Ryan Huang 10/12/17 CS 318 Midterm Review 2 Midterm October 17 th Tuesday 9:00-10:20 am at classroom Covers material before virtual memory

More information

CSE 5306 Distributed Systems. Synchronization

CSE 5306 Distributed Systems. Synchronization CSE 5306 Distributed Systems Synchronization 1 Synchronization An important issue in distributed system is how processes cooperate and synchronize with one another Cooperation is partially supported by

More information

Operating Systems: William Stallings. Starvation. Patricia Roy Manatee Community College, Venice, FL 2008, Prentice Hall

Operating Systems: William Stallings. Starvation. Patricia Roy Manatee Community College, Venice, FL 2008, Prentice Hall Operating Systems: Internals and Design Principles, 6/E William Stallings Chapter 6 Concurrency: Deadlock and Starvation Patricia Roy Manatee Community College, Venice, FL 2008, Prentice Hall Deadlock

More information

CS 153 Design of Operating Systems Winter 2016

CS 153 Design of Operating Systems Winter 2016 CS 153 Design of Operating Systems Winter 2016 Lecture 7: Synchronization Administrivia Homework 1 Due today by the end of day Hopefully you have started on project 1 by now? Kernel-level threads (preemptable

More information

Real-Time Systems. Lecture #4. Professor Jan Jonsson. Department of Computer Science and Engineering Chalmers University of Technology

Real-Time Systems. Lecture #4. Professor Jan Jonsson. Department of Computer Science and Engineering Chalmers University of Technology Real-Time Systems Lecture #4 Professor Jan Jonsson Department of Computer Science and Engineering Chalmers University of Technology Real-Time Systems Specification Resource management Mutual exclusion

More information

ZooKeeper & Curator. CS 475, Spring 2018 Concurrent & Distributed Systems

ZooKeeper & Curator. CS 475, Spring 2018 Concurrent & Distributed Systems ZooKeeper & Curator CS 475, Spring 2018 Concurrent & Distributed Systems Review: Agreement In distributed systems, we have multiple nodes that need to all agree that some object has some state Examples:

More information

Event Ordering. Greg Bilodeau CS 5204 November 3, 2009

Event Ordering. Greg Bilodeau CS 5204 November 3, 2009 Greg Bilodeau CS 5204 November 3, 2009 Fault Tolerance How do we prepare for rollback and recovery in a distributed system? How do we ensure the proper processing order of communications between distributed

More information

Deadlock. Concurrency: Deadlock and Starvation. Reusable Resources

Deadlock. Concurrency: Deadlock and Starvation. Reusable Resources Concurrency: Deadlock and Starvation Chapter 6 Deadlock Permanent blocking of a set of processes that either compete for system resources or communicate with each other No efficient solution Involve conflicting

More information

Part II Process Management Chapter 6: Process Synchronization

Part II Process Management Chapter 6: Process Synchronization Part II Process Management Chapter 6: Process Synchronization 1 Process Synchronization Why is synchronization needed? Race Conditions Critical Sections Pure Software Solutions Hardware Support Semaphores

More information

More Types of Synchronization 11/29/16

More Types of Synchronization 11/29/16 More Types of Synchronization 11/29/16 Today s Agenda Classic thread patterns Other parallel programming patterns More synchronization primitives: RW locks Condition variables Semaphores Message passing

More information

Concurrent Programming

Concurrent Programming Concurrency Concurrent Programming A sequential program has a single thread of control. Its execution is called a process. A concurrent program has multiple threads of control. They may be executed as

More information

Secure Software Programming and Vulnerability Analysis

Secure Software Programming and Vulnerability Analysis Secure Software Programming and Vulnerability Analysis Christopher Kruegel chris@auto.tuwien.ac.at http://www.auto.tuwien.ac.at/~chris Race Conditions Secure Software Programming 2 Overview Parallel execution

More information

Page 104, Problem 2.4. Page 104, Problem 2.4

Page 104, Problem 2.4. Page 104, Problem 2.4 A3 Answer Key Page 1 Page 104, Problem 2.4 Tuesday, November 02, 2004 1:20 PM Page 104, Problem 2.4 A "system call" occurs in a process when the process needs to access a subroutine that is located in

More information

Introduction to Real-Time Operating Systems

Introduction to Real-Time Operating Systems Introduction to Real-Time Operating Systems GPOS vs RTOS General purpose operating systems Real-time operating systems GPOS vs RTOS: Similarities Multitasking Resource management OS services to applications

More information

Epilogue. Thursday, December 09, 2004

Epilogue. Thursday, December 09, 2004 Epilogue Thursday, December 09, 2004 2:16 PM We have taken a rather long journey From the physical hardware, To the code that manages it, To the optimal structure of that code, To models that describe

More information

740: Computer Architecture Memory Consistency. Prof. Onur Mutlu Carnegie Mellon University

740: Computer Architecture Memory Consistency. Prof. Onur Mutlu Carnegie Mellon University 740: Computer Architecture Memory Consistency Prof. Onur Mutlu Carnegie Mellon University Readings: Memory Consistency Required Lamport, How to Make a Multiprocessor Computer That Correctly Executes Multiprocess

More information

Distributed Coordination with ZooKeeper - Theory and Practice. Simon Tao EMC Labs of China Oct. 24th, 2015

Distributed Coordination with ZooKeeper - Theory and Practice. Simon Tao EMC Labs of China Oct. 24th, 2015 Distributed Coordination with ZooKeeper - Theory and Practice Simon Tao EMC Labs of China {simon.tao@emc.com} Oct. 24th, 2015 Agenda 1. ZooKeeper Overview 2. Coordination in Spring XD 3. ZooKeeper Under

More information

Threading and Synchronization. Fahd Albinali

Threading and Synchronization. Fahd Albinali Threading and Synchronization Fahd Albinali Parallelism Parallelism and Pseudoparallelism Why parallelize? Finding parallelism Advantages: better load balancing, better scalability Disadvantages: process/thread

More information

Large Systems: Design + Implementation: Communication Coordination Replication. Image (c) Facebook

Large Systems: Design + Implementation: Communication Coordination Replication. Image (c) Facebook Large Systems: Design + Implementation: Image (c) Facebook Communication Coordination Replication Credits Slides largely based on Distributed Systems, 3rd Edition Maarten van Steen Andrew S. Tanenbaum

More information

Chapter 6 Concurrency: Deadlock and Starvation

Chapter 6 Concurrency: Deadlock and Starvation Operating Systems: Internals and Design Principles Chapter 6 Concurrency: Deadlock and Starvation Seventh Edition By William Stallings Operating Systems: Internals and Design Principles When two trains

More information

Message Passing Models and Multicomputer distributed system LECTURE 7

Message Passing Models and Multicomputer distributed system LECTURE 7 Message Passing Models and Multicomputer distributed system LECTURE 7 DR SAMMAN H AMEEN 1 Node Node Node Node Node Node Message-passing direct network interconnection Node Node Node Node Node Node PAGE

More information

Distributed Operating Systems. Distributed Synchronization

Distributed Operating Systems. Distributed Synchronization 2 Distributed Operating Systems Distributed Synchronization Steve Goddard goddard@cse.unl.edu http://www.cse.unl.edu/~goddard/courses/csce855 1 Synchronization Coordinating processes to achieve common

More information

POSIX / System Programming

POSIX / System Programming POSIX / System Programming ECE 650 Methods and Tools for Software Eng. Guest lecture 2017 10 06 Carlos Moreno cmoreno@uwaterloo.ca E5-4111 2 Outline During today's lecture, we'll look at: Some of POSIX

More information

MULTITHREADING AND SYNCHRONIZATION. CS124 Operating Systems Fall , Lecture 10

MULTITHREADING AND SYNCHRONIZATION. CS124 Operating Systems Fall , Lecture 10 MULTITHREADING AND SYNCHRONIZATION CS124 Operating Systems Fall 2017-2018, Lecture 10 2 Critical Sections Race conditions can be avoided by preventing multiple control paths from accessing shared state

More information

MultiJav: A Distributed Shared Memory System Based on Multiple Java Virtual Machines. MultiJav: Introduction

MultiJav: A Distributed Shared Memory System Based on Multiple Java Virtual Machines. MultiJav: Introduction : A Distributed Shared Memory System Based on Multiple Java Virtual Machines X. Chen and V.H. Allan Computer Science Department, Utah State University 1998 : Introduction Built on concurrency supported

More information

Lecture 7: Logical Time

Lecture 7: Logical Time Lecture 7: Logical Time 1. Question from reviews a. In protocol, is in- order delivery assumption reasonable? i. TCP provides it b. In protocol, need all participants to be present i. Is this a reasonable

More information

CSE 4/521 Introduction to Operating Systems. Lecture 24 I/O Systems (Overview, Application I/O Interface, Kernel I/O Subsystem) Summer 2018

CSE 4/521 Introduction to Operating Systems. Lecture 24 I/O Systems (Overview, Application I/O Interface, Kernel I/O Subsystem) Summer 2018 CSE 4/521 Introduction to Operating Systems Lecture 24 I/O Systems (Overview, Application I/O Interface, Kernel I/O Subsystem) Summer 2018 Overview Objective: Explore the structure of an operating system

More information

CSE 5306 Distributed Systems

CSE 5306 Distributed Systems CSE 5306 Distributed Systems Synchronization Jia Rao http://ranger.uta.edu/~jrao/ 1 Synchronization An important issue in distributed system is how process cooperate and synchronize with one another Cooperation

More information

Parallel Processing: Performance Limits & Synchronization

Parallel Processing: Performance Limits & Synchronization Parallel Processing: Performance Limits & Synchronization Daniel Sanchez Computer Science & Artificial Intelligence Lab M.I.T. May 8, 2018 L22-1 Administrivia Quiz 3: Thursday 7:30-9:30pm, room 50-340

More information

SYNCHRONIZATION M O D E R N O P E R A T I N G S Y S T E M S R E A D 2. 3 E X C E P T A N D S P R I N G 2018

SYNCHRONIZATION M O D E R N O P E R A T I N G S Y S T E M S R E A D 2. 3 E X C E P T A N D S P R I N G 2018 SYNCHRONIZATION M O D E R N O P E R A T I N G S Y S T E M S R E A D 2. 3 E X C E P T 2. 3. 8 A N D 2. 3. 1 0 S P R I N G 2018 INTER-PROCESS COMMUNICATION 1. How a process pass information to another process

More information

Processor speed. Concurrency Structure and Interpretation of Computer Programs. Multiple processors. Processor speed. Mike Phillips <mpp>

Processor speed. Concurrency Structure and Interpretation of Computer Programs. Multiple processors. Processor speed. Mike Phillips <mpp> Processor speed 6.037 - Structure and Interpretation of Computer Programs Mike Phillips Massachusetts Institute of Technology http://en.wikipedia.org/wiki/file:transistor_count_and_moore%27s_law_-

More information

Concurrent Programming. CS105 Programming Languages Supplement

Concurrent Programming. CS105 Programming Languages Supplement Concurrent Programming CS105 Programming Languages Supplement Outline Introduction Categories Concepts Semaphores Monitors Message Passing Statement level concurrency Introduction Definitions Process:

More information

Enterprise Integration Patterns: Designing, Building, and Deploying Messaging Solutions

Enterprise Integration Patterns: Designing, Building, and Deploying Messaging Solutions Enterprise Integration Patterns: Designing, Building, and Deploying Messaging Solutions Chapter 1: Solving Integration Problems Using Patterns 2 Introduction The Need for Integration Integration Challenges

More information

Module 1. Introduction:

Module 1. Introduction: Module 1 Introduction: Operating system is the most fundamental of all the system programs. It is a layer of software on top of the hardware which constitutes the system and manages all parts of the system.

More information

CSE 153 Design of Operating Systems

CSE 153 Design of Operating Systems CSE 153 Design of Operating Systems Winter 19 Lecture 7/8: Synchronization (1) Administrivia How is Lab going? Be prepared with questions for this weeks Lab My impression from TAs is that you are on track

More information

Operating Systems 2010/2011

Operating Systems 2010/2011 Operating Systems 2010/2011 Signals Johan Lukkien 1 Signals A signal is a software generated event notification of state change encapsulation of physical event usually: sent from a process to a process

More information

Process. Program Vs. process. During execution, the process may be in one of the following states

Process. Program Vs. process. During execution, the process may be in one of the following states What is a process? What is process scheduling? What are the common operations on processes? How to conduct process-level communication? How to conduct client-server communication? Process is a program

More information

Bull. HACMP 4.4 Programming Locking Applications AIX ORDER REFERENCE 86 A2 59KX 02

Bull. HACMP 4.4 Programming Locking Applications AIX ORDER REFERENCE 86 A2 59KX 02 Bull HACMP 4.4 Programming Locking Applications AIX ORDER REFERENCE 86 A2 59KX 02 Bull HACMP 4.4 Programming Locking Applications AIX Software August 2000 BULL CEDOC 357 AVENUE PATTON B.P.20845 49008

More information

Architectural Support. Processes. OS Structure. Threads. Scheduling. CSE 451: Operating Systems Spring Module 28 Course Review

Architectural Support. Processes. OS Structure. Threads. Scheduling. CSE 451: Operating Systems Spring Module 28 Course Review Architectural Support CSE 451: Operating Systems Spring 2012 Module 28 Course Review Ed Lazowska lazowska@cs.washington.edu Allen Center 570 Privileged instructions what are they? how does the CPU know

More information

Parallel And Distributed Compilers

Parallel And Distributed Compilers Parallel And Distributed Compilers Parallel Systems Parallel System has the goal to solve a given problem using multiple processors. Normally Solve a single problem These typically are used in applications

More information

QUESTION BANK UNIT I

QUESTION BANK UNIT I QUESTION BANK Subject Name: Operating Systems UNIT I 1) Differentiate between tightly coupled systems and loosely coupled systems. 2) Define OS 3) What are the differences between Batch OS and Multiprogramming?

More information

Distributed Mutual Exclusion

Distributed Mutual Exclusion Distributed Mutual Exclusion Mutual Exclusion Well-understood in shared memory systems Requirements: at most one process in critical section (safety) if more than one requesting process, someone enters

More information

Dr. D. M. Akbar Hussain DE5 Department of Electronic Systems

Dr. D. M. Akbar Hussain DE5 Department of Electronic Systems Concurrency 1 Concurrency Execution of multiple processes. Multi-programming: Management of multiple processes within a uni- processor system, every system has this support, whether big, small or complex.

More information

EE/CSCI 451: Parallel and Distributed Computation

EE/CSCI 451: Parallel and Distributed Computation EE/CSCI 451: Parallel and Distributed Computation Lecture #15 3/7/2017 Xuehai Qian Xuehai.qian@usc.edu http://alchem.usc.edu/portal/xuehaiq.html University of Southern California 1 From last class Outline

More information

Midterm Exam. October 20th, Thursday NSC

Midterm Exam. October 20th, Thursday NSC CSE 421/521 - Operating Systems Fall 2011 Lecture - XIV Midterm Review Tevfik Koşar University at Buffalo October 18 th, 2011 1 Midterm Exam October 20th, Thursday 9:30am-10:50am @215 NSC Chapters included

More information

CSE 486/586 Distributed Systems

CSE 486/586 Distributed Systems CSE 486/586 Distributed Systems Mutual Exclusion Steve Ko Computer Sciences and Engineering University at Buffalo CSE 486/586 Recap: Consensus On a synchronous system There s an algorithm that works. On

More information

Verteilte Systeme (Distributed Systems)

Verteilte Systeme (Distributed Systems) Verteilte Systeme (Distributed Systems) Karl M. Göschka Karl.Goeschka@tuwien.ac.at http://www.infosys.tuwien.ac.at/teaching/courses/ VerteilteSysteme/ Lecture 6: Clocks and Agreement Synchronization of

More information

Synchronization II: EventBarrier, Monitor, and a Semaphore. COMPSCI210 Recitation 4th Mar 2013 Vamsi Thummala

Synchronization II: EventBarrier, Monitor, and a Semaphore. COMPSCI210 Recitation 4th Mar 2013 Vamsi Thummala Synchronization II: EventBarrier, Monitor, and a Semaphore COMPSCI210 Recitation 4th Mar 2013 Vamsi Thummala Check point: Mission in progress Master synchronization techniques Develop best practices for

More information

Page 1. Analogy: Problems: Operating Systems Lecture 7. Operating Systems Lecture 7

Page 1. Analogy: Problems: Operating Systems Lecture 7. Operating Systems Lecture 7 Os-slide#1 /*Sequential Producer & Consumer*/ int i=0; repeat forever Gather material for item i; Produce item i; Use item i; Discard item i; I=I+1; end repeat Analogy: Manufacturing and distribution Print

More information

Frequently asked questions from the previous class survey

Frequently asked questions from the previous class survey CS 455: INTRODUCTION TO DISTRIBUTED SYSTEMS [DISTRIBUTED COORDINATION/MUTUAL EXCLUSION] Shrideep Pallickara Computer Science Colorado State University L22.1 Frequently asked questions from the previous

More information

Programming in Parallel COMP755

Programming in Parallel COMP755 Programming in Parallel COMP755 All games have morals; and the game of Snakes and Ladders captures, as no other activity can hope to do, the eternal truth that for every ladder you hope to climb, a snake

More information

Executive Summary. It is important for a Java Programmer to understand the power and limitations of concurrent programming in Java using threads.

Executive Summary. It is important for a Java Programmer to understand the power and limitations of concurrent programming in Java using threads. Executive Summary. It is important for a Java Programmer to understand the power and limitations of concurrent programming in Java using threads. Poor co-ordination that exists in threads on JVM is bottleneck

More information

Last Class: Monitors. Real-world Examples

Last Class: Monitors. Real-world Examples Last Class: Monitors Monitor wraps operations with a mutex Condition variables release mutex temporarily C++ does not provide a monitor construct, but monitors can be implemented by following the monitor

More information

CS455: Introduction to Distributed Systems [Spring 2018] Dept. Of Computer Science, Colorado State University

CS455: Introduction to Distributed Systems [Spring 2018] Dept. Of Computer Science, Colorado State University Frequently asked questions from the previous class survey CS 455: INTRODUCTION TO DISTRIBUTED SYSTEMS [DISTRIBUTED COORDINATION/MUTUAL EXCLUSION] Shrideep Pallickara Computer Science Colorado State University

More information

Real-Time Programming

Real-Time Programming Real-Time Programming Week 7: Real-Time Operating Systems Instructors Tony Montiel & Ken Arnold rtp@hte.com 4/1/2003 Co Montiel 1 Objectives o Introduction to RTOS o Event Driven Systems o Synchronization

More information

Operating Systems (1DT020 & 1TT802)

Operating Systems (1DT020 & 1TT802) Uppsala University Department of Information Technology Name: Perso. no: Operating Systems (1DT020 & 1TT802) 2009-05-27 This is a closed book exam. Calculators are not allowed. Answers should be written

More information

Lecture 9: Midterm Review

Lecture 9: Midterm Review Project 1 Due at Midnight Lecture 9: Midterm Review CSE 120: Principles of Operating Systems Alex C. Snoeren Midterm Everything we ve covered is fair game Readings, lectures, homework, and Nachos Yes,

More information

CSE 153 Design of Operating Systems Fall 2018

CSE 153 Design of Operating Systems Fall 2018 CSE 153 Design of Operating Systems Fall 2018 Lecture 5: Threads/Synchronization Implementing threads l Kernel Level Threads l u u All thread operations are implemented in the kernel The OS schedules all

More information

CS 162 Operating Systems and Systems Programming Professor: Anthony D. Joseph Spring Lecture 21: Network Protocols (and 2 Phase Commit)

CS 162 Operating Systems and Systems Programming Professor: Anthony D. Joseph Spring Lecture 21: Network Protocols (and 2 Phase Commit) CS 162 Operating Systems and Systems Programming Professor: Anthony D. Joseph Spring 2003 Lecture 21: Network Protocols (and 2 Phase Commit) 21.0 Main Point Protocol: agreement between two parties as to

More information

IPC and Unix Special Files

IPC and Unix Special Files Outline IPC and Unix Special Files (USP Chapters 6 and 7) Instructor: Dr. Tongping Liu Inter-Process communication (IPC) Pipe and Its Operations FIFOs: Named Pipes Ø Allow Un-related Processes to Communicate

More information

CS 31: Introduction to Computer Systems : Threads & Synchronization April 16-18, 2019

CS 31: Introduction to Computer Systems : Threads & Synchronization April 16-18, 2019 CS 31: Introduction to Computer Systems 22-23: Threads & Synchronization April 16-18, 2019 Making Programs Run Faster We all like how fast computers are In the old days (1980 s - 2005): Algorithm too slow?

More information

Embedded Systems. 6. Real-Time Operating Systems

Embedded Systems. 6. Real-Time Operating Systems Embedded Systems 6. Real-Time Operating Systems Lothar Thiele 6-1 Contents of Course 1. Embedded Systems Introduction 2. Software Introduction 7. System Components 10. Models 3. Real-Time Models 4. Periodic/Aperiodic

More information

Module 12: I/O Systems

Module 12: I/O Systems Module 12: I/O Systems I/O Hardware Application I/O Interface Kernel I/O Subsystem Transforming I/O Requests to Hardware Operations Performance Operating System Concepts 12.1 Silberschatz and Galvin c

More information

MULTIPROCESSORS AND THREAD-LEVEL. B649 Parallel Architectures and Programming

MULTIPROCESSORS AND THREAD-LEVEL. B649 Parallel Architectures and Programming MULTIPROCESSORS AND THREAD-LEVEL PARALLELISM B649 Parallel Architectures and Programming Motivation behind Multiprocessors Limitations of ILP (as already discussed) Growing interest in servers and server-performance

More information

Synchronization. CS61, Lecture 18. Prof. Stephen Chong November 3, 2011

Synchronization. CS61, Lecture 18. Prof. Stephen Chong November 3, 2011 Synchronization CS61, Lecture 18 Prof. Stephen Chong November 3, 2011 Announcements Assignment 5 Tell us your group by Sunday Nov 6 Due Thursday Nov 17 Talks of interest in next two days Towards Predictable,

More information

MULTIPROCESSORS AND THREAD-LEVEL PARALLELISM. B649 Parallel Architectures and Programming

MULTIPROCESSORS AND THREAD-LEVEL PARALLELISM. B649 Parallel Architectures and Programming MULTIPROCESSORS AND THREAD-LEVEL PARALLELISM B649 Parallel Architectures and Programming Motivation behind Multiprocessors Limitations of ILP (as already discussed) Growing interest in servers and server-performance

More information

More on Synchronization and Deadlock

More on Synchronization and Deadlock Examples of OS Kernel Synchronization More on Synchronization and Deadlock Two processes making system calls to read/write on the same file, leading to possible race condition on the file system data structures

More information

Chapter 5 Asynchronous Concurrent Execution

Chapter 5 Asynchronous Concurrent Execution Chapter 5 Asynchronous Concurrent Execution Outline 5.1 Introduction 5.2 Mutual Exclusion 5.2.1 Java Multithreading Case Study 5.2.2 Critical Sections 5.2.3 Mutual Exclusion Primitives 5.3 Implementing

More information

Process Synchronization

Process Synchronization Process Synchronization Concurrent access to shared data in the data section of a multi-thread process, in the shared memory of multiple processes, or in a shared file Although every example in this chapter

More information

Multiprocessors 2007/2008

Multiprocessors 2007/2008 Multiprocessors 2007/2008 Abstractions of parallel machines Johan Lukkien 1 Overview Problem context Abstraction Operating system support Language / middleware support 2 Parallel processing Scope: several

More information

Sistemas Operacionais I. Valeria Menezes Bastos

Sistemas Operacionais I. Valeria Menezes Bastos Sistemas Operacionais I Valeria Menezes Bastos Operating Systems: Internals and Design Principles Chapter 1 Computer System Overview Eighth Edition By William Stallings Summary Basic Elements Evolution

More information

RCU. ò Walk through two system calls in some detail. ò Open and read. ò Too much code to cover all FS system calls. ò 3 Cases for a dentry:

RCU. ò Walk through two system calls in some detail. ò Open and read. ò Too much code to cover all FS system calls. ò 3 Cases for a dentry: Logical Diagram VFS, Continued Don Porter CSE 506 Binary Formats RCU Memory Management File System Memory Allocators System Calls Device Drivers Networking Threads User Today s Lecture Kernel Sync CPU

More information

MULTIPROCESSORS. Characteristics of Multiprocessors. Interconnection Structures. Interprocessor Arbitration

MULTIPROCESSORS. Characteristics of Multiprocessors. Interconnection Structures. Interprocessor Arbitration MULTIPROCESSORS Characteristics of Multiprocessors Interconnection Structures Interprocessor Arbitration Interprocessor Communication and Synchronization Cache Coherence 2 Characteristics of Multiprocessors

More information

read(2) There can be several cases where read returns less than the number of bytes requested:

read(2) There can be several cases where read returns less than the number of bytes requested: read(2) There can be several cases where read returns less than the number of bytes requested: EOF reached before requested number of bytes have been read Reading from a terminal device, one line read

More information

Synchronization. Chapter 5

Synchronization. Chapter 5 Synchronization Chapter 5 Clock Synchronization In a centralized system time is unambiguous. (each computer has its own clock) In a distributed system achieving agreement on time is not trivial. (it is

More information

殷亚凤. Synchronization. Distributed Systems [6]

殷亚凤. Synchronization. Distributed Systems [6] Synchronization Distributed Systems [6] 殷亚凤 Email: yafeng@nju.edu.cn Homepage: http://cs.nju.edu.cn/yafeng/ Room 301, Building of Computer Science and Technology Review Protocols Remote Procedure Call

More information

VFS, Continued. Don Porter CSE 506

VFS, Continued. Don Porter CSE 506 VFS, Continued Don Porter CSE 506 Logical Diagram Binary Formats Memory Allocators System Calls Threads User Today s Lecture Kernel RCU File System Networking Sync Memory Management Device Drivers CPU

More information

IV. Process Synchronisation

IV. Process Synchronisation IV. Process Synchronisation Operating Systems Stefan Klinger Database & Information Systems Group University of Konstanz Summer Term 2009 Background Multiprogramming Multiple processes are executed asynchronously.

More information

Concurrency - Topics. Introduction Introduction to Subprogram-Level Concurrency Semaphores Monitors Message Passing Java Threads

Concurrency - Topics. Introduction Introduction to Subprogram-Level Concurrency Semaphores Monitors Message Passing Java Threads Concurrency - Topics Introduction Introduction to Subprogram-Level Concurrency Semaphores Monitors Message Passing Java Threads 1 Introduction Concurrency can occur at four levels: Machine instruction

More information

CMSC Computer Architecture Lecture 12: Multi-Core. Prof. Yanjing Li University of Chicago

CMSC Computer Architecture Lecture 12: Multi-Core. Prof. Yanjing Li University of Chicago CMSC 22200 Computer Architecture Lecture 12: Multi-Core Prof. Yanjing Li University of Chicago Administrative Stuff! Lab 4 " Due: 11:49pm, Saturday " Two late days with penalty! Exam I " Grades out on

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

Operating Systems Antonio Vivace revision 4 Licensed under GPLv3

Operating Systems Antonio Vivace revision 4 Licensed under GPLv3 Operating Systems Antonio Vivace - 2016 revision 4 Licensed under GPLv3 Process Synchronization Background A cooperating process can share directly a logical address space (code, data) or share data through

More information

CSE 410 Final Exam Sample Solution 6/08/10

CSE 410 Final Exam Sample Solution 6/08/10 Question 1. (12 points) (caches) (a) One choice in designing cache memories is to pick a block size. Which of the following do you think would be the most reasonable size for cache blocks on a computer

More information

Interprocess Communication By: Kaushik Vaghani

Interprocess Communication By: Kaushik Vaghani Interprocess Communication By: Kaushik Vaghani Background Race Condition: A situation where several processes access and manipulate the same data concurrently and the outcome of execution depends on the

More information