DEPARTMENT OF INFORMATION TECHNOLOGY QUESTION BANK. UNIT I PART A (2 marks)
|
|
|
- Paul Caldwell
- 5 years ago
- Views:
Transcription
1 DEPARTMENT OF INFORMATION TECHNOLOGY QUESTION BANK Subject Code : IT1001 Subject Name : Distributed Systems Year / Sem : IV / VII UNIT I 1. Define distributed systems. 2. Give examples of distributed systems 3. Write the following (i)http (ii) HTML 4. What are the uses of web services? 5. Define heterogeneity 6. What are the characteristics of heterogeneity? 7. What is the purpose of heterogeneity mobile code? 8. Why we need openness? 9. How we provide security? 10. Define scalability 11. What are the types of transparencies? 1. Explain the Differences between intranet and internet. 2. Explain the various challenges of distributed systems 3. Write in detail about www. 4. Write in detail about the characteristics of inter process communication.
2 5. Explain in detail about marshalling. 6. Describe in detail about client server communication. 7. Write in detail about group communication. UNIT II 1. What is meant by Garbage collection? 2. What is the purpose of dispatcher in RMI? 3. Define Dynamic Invocation. 4. What is the use of RMI registry? 5. Explain the use of Reflection in RMI? 6. What the types are of file System modules? 7. Name any two Characteristics of File Systems. 8. Write any two flat file service operations. 9. Define Name spaces. 10. Define Directory Services 1. Explain Communication between distributed objects. 2. Explain in detail about Remote Procedure call with a case study. 3. Explain in detail about Events and Notifications. 4. Describe java RMI. 5. Explain the characteristics of file systems. 6. Describe File service architecture. 7. Explain Directory Services with an example. 8. Explain Naming services. UNIT III 1. What is meant by concurrent processing? 2. Define Thread. 3. What is address space?
3 4. What is meant by invocation performance? 5. Difference between monolithic and micro kernels 6. Define clock, event and process states. 7. Define Clock skew and clock drift 8. What is Berkeley algorithm? 9. Define Lamport logical clock 10. What is multicast synchronization? 1. Explain Processes and threads 2. Explain Communication and invocation 3. Describe Operating system architecture 4. Explain synchronizing physical clocks 5. Explain Global States and distributed debugging 6. Explain the algorithms for mutual exclusion 7. Discuss about threads in distributed systems UNIT IV 1. What is transaction? 2. Define ACID properties. 3. Define Concurrency control. 4. What is meant by nested transactions? 5. Define strict two phase locking 6. Define deadlock 7. What are the Differences between validation phase and update phase? 8. Define time stamp ordering. 9. Define two-phase commit protocol 10. Define Edge chasing
4 1. Explain in detail about concurrency control in transaction. 2. Discuss in detail about deadlock and locking schemes in concurrency control 3. Explain optimistic concurrency control. 4. Explain Time stamp ordering in detail. 5. Explain in detail about comparison of methods of concurrency control. 6. Explain the concurrency control in distributed transactions. 7. Explain about distributed deadlocks. 8. Describe in detail about distributed deadlocks. UNIT V 1. Define threats 2. What are the classifications of security falls? 3. Define the methods of attack 4. What are the uses of cryptography? 5. Define certificates 6 Why we need access control? 7. Define fault tolerance 8. Why we need replication? 9. Define query operations 10. What are the properties of transaction replicated data? 11. What are the functions of replica manager?
5 1. How we designing the secure systems 2 Explain in detail about firewalls 3. Write in detail about cryptographic algorithms 4. What are the characteristics of digital signatures? 5. Explain the case study Kerberos in detail 6. What are the fault tolerant services? 7. Describe in detail about active replication
PART B UNIT II COMMUNICATION IN DISTRIBUTED SYSTEM PART A
CS6601 DISTRIBUTED SYSTEMS QUESTION BANK UNIT 1 INTRODUCTION 1. What is a distributed system? 2. Mention few examples of distributed systems. 3. Mention the trends in distributed systems. 4. What are backbones
INSTITUTE OF AERONAUTICAL ENGINEERING (Autonomous) Dundigal, Hyderabad
Course Name Course Code Class Branch INSTITUTE OF AERONAUTICAL ENGINEERING (Autonomous) Dundigal, Hyderabad -500 043 COMPUTER SCIENCE AND ENGINEERING TUTORIAL QUESTION BANK 2015-2016 : DISTRIBUTED SYSTEMS
Distributed Systems Question Bank UNIT 1 Chapter 1 1. Define distributed systems. What are the significant issues of the distributed systems?
UNIT 1 Chapter 1 1. Define distributed systems. What are the significant issues of the distributed systems? 2. What are different application domains of distributed systems? Explain. 3. Discuss the different
VALLIAMMAI ENGNIEERING COLLEGE SRM Nagar, Kattankulathur 603203. DEPARTMENT OF COMPUTER SCIENCE AND ENGINEERING Year & Semester : III and VI Section : CSE- 1 & 2 Subject Code : CS6601 Subject Name : DISTRIBUTED
DISTRIBUTED SYSTEMS. Second Edition. Andrew S. Tanenbaum Maarten Van Steen. Vrije Universiteit Amsterdam, 7'he Netherlands PEARSON.
DISTRIBUTED SYSTEMS 121r itac itple TAYAdiets Second Edition Andrew S. Tanenbaum Maarten Van Steen Vrije Universiteit Amsterdam, 7'he Netherlands PEARSON Prentice Hall Upper Saddle River, NJ 07458 CONTENTS
DEPARTMENT OF COMPUTER SCIENCE AND ENGINEERING UNIT-1
DEPARTMENT OF COMPUTER SCIENCE AND ENGINEERING Year & Semester Section Subject Code Subject Name Degree & Branch : I & II : M.E : CP7204 : Advanced Operating Systems : M.E C.S.E. 1. Define Process? UNIT-1
Synchronization. Clock Synchronization
Synchronization Clock Synchronization Logical clocks Global state Election algorithms Mutual exclusion Distributed transactions 1 Clock Synchronization Time is counted based on tick Time judged by query
Kingdom of Saudi Arabia Ministry of Higher Education College of Computer & Information Sciences Majmaah University. Course Profile
Kingdom Saudi Arabia Ministry Higher Education College Computer & Information Sciences Majmaah University Course Prile Course Name:- Course Code:- CEN 449 Academic Year:- 1434-1435(2013-2014) Semester
Homework #2 Nathan Balon CIS 578 October 31, 2004
Homework #2 Nathan Balon CIS 578 October 31, 2004 1 Answer the following questions about the snapshot algorithm: A) What is it used for? It used for capturing the global state of a distributed system.
UNIT I. Introduction to OS& System Structures
SIDDHARTH GROUP OF INSTITUTIONS :: PUTTUR Siddharth Nagar, Narayanavanam Road 517583 QUESTION BANK (DESCRIPTIVE) Subject with Code : Operating Systems(16CS512) Year &Sem: II-B.Tech& II-Sem Course & Branch:
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
Distributed Systems. Bina Ramamurthy. 6/13/2005 B.Ramamurthy 1
Distributed Systems Bina Ramamurthy 6/13/2005 B.Ramamurthy 1 Introduction Distributed system is the one in which hardware and software components at networked computers communicate and coordinate their
Announcements. me your survey: See the Announcements page. Today. Reading. Take a break around 10:15am. Ack: Some figures are from Coulouris
Announcements Email me your survey: See the Announcements page Today Conceptual overview of distributed systems System models Reading Today: Chapter 2 of Coulouris Next topic: client-side processing (HTML,
Contents. 1.1 What Operating Systems Do Computer-System Organization Computer-System Architecture 12. Operating-System Structures
PART ONE Chapter 1 Introduction OVERVIEW 1.1 What Operating Systems Do 3 1.2 Computer-System Organization 6 1.3 Computer-System Architecture 12 1.4 Operating-System Structure 15 1.5 Operating-System Operations
VALLIAMMAI ENGINEERING COLLEGE
VALLIAMMAI ENGINEERING COLLEGE SRM Nagar, Kattankulathur 603 203 DEPARTMENT OF COMPUTER SCIENCE AND ENGINEERING QUESTION BANK II SEMESTER CP7204 Advanced Operating Systems Regulation 2013 Academic Year
Chapter 1: Distributed Systems: What is a distributed system? Fall 2013
Chapter 1: Distributed Systems: What is a distributed system? Fall 2013 Course Goals and Content n Distributed systems and their: n Basic concepts n Main issues, problems, and solutions n Structured and
Curriculum 2013 Knowledge Units Pertaining to PDC
Curriculum 2013 Knowledge Units Pertaining to C KA KU Tier Level NumC Learning Outcome Assembly level machine Describe how an instruction is executed in a classical von Neumann machine, with organization
Distributed Systems Exam 1 Review Paul Krzyzanowski. Rutgers University. Fall 2016
Distributed Systems 2015 Exam 1 Review Paul Krzyzanowski Rutgers University Fall 2016 1 Question 1 Why did the use of reference counting for remote objects prove to be impractical? Explain. It s not fault
CS6601 DISTRIBUTED SYSTEMS
CS6601 DISTRIBUTED SYSTEMS Two Marks Question with Answers UNIT 1 INTRODUCTION PART A 1. What is a distributed system? A distributed system is one in which components located at networked computers communicate
Distributed Systems. Fall 2017 Exam 3 Review. Paul Krzyzanowski. Rutgers University. Fall 2017
Distributed Systems Fall 2017 Exam 3 Review Paul Krzyzanowski Rutgers University Fall 2017 December 11, 2017 CS 417 2017 Paul Krzyzanowski 1 Question 1 The core task of the user s map function within a
Today: Distributed Objects. Distributed Objects
Today: Distributed Objects Case study: EJBs (Enterprise Java Beans) Case study: CORBA Lecture 23, page 1 Distributed Objects Figure 10-1. Common organization of a remote object with client-side proxy.
Distributed Systems Conclusions & Exam. Brian Nielsen
Distributed Systems Conclusions & Exam Brian Nielsen bnielsen@cs.aau.dk Definition A distributed system is the one in which hardware and software components at networked computers communicate and coordinate
Distributed Computing
Distributed Computing 1 Why distributed systems: Benefits & Challenges The Sydney Olympic game system: see text page 29-30 Divide-and-conquer Interacting autonomous systems Concurrencies Transactions 2
SIR C.R.REDDY COLLEGE OF ENGINEERING, ELURU DEPARTMENT OF INFORMATION TECHNOLOGY LESSON PLAN
SIR C.R.REDDY COLLEGE OF ENGINEERING, ELURU DEPARTMENT OF INFORMATION TECHNOLOGY LESSON PLAN SUBJECT: (IT 4.1.3) ADVANCED OPERATING SYSTEM CLASS: 4/4 B.Tech. I SEMESTER, A.Y.2017-18 INSTRUCTOR: CHALLA
CS 677 Distributed Operating Systems. Programming Assignment 3: Angry birds : Replication, Fault Tolerance and Cache Consistency
CS 677 Distributed Operating Systems Spring 2013 Programming Assignment 3: Angry birds : Replication, Fault Tolerance and Cache Consistency Due: Tue Apr 30 2013 You may work in groups of two for this lab
Contents. 1.1 What Operating Systems Do Computer-System Organization Computer-System Architecture 12. Operating-System Structures
PART ONE Chapter 1 Introduction OVERVIEW 1.1 What Operating Systems Do 3 1.2 Computer-System Organization 6 1.3 Computer-System Architecture 12 1.4 Operating-System Structure 18 1.5 Operating-System Operations
Java RMI Middleware Project
Java RMI Middleware Project Nathan Balon CIS 578 Advanced Operating Systems December 7, 2004 Introduction The semester project was to implement a middleware similar to Java RMI or CORBA. The purpose of
What is a distributed system?
CS 378 Intro to Distributed Computing Lorenzo Alvisi Harish Rajamani What is a distributed system? A distributed system is one in which the failure of a computer you didn t even know existed can render
Distributed Object-Based. Systems. Chapter 9
Distributed Object-Based Systems Chapter 9 Overview of CORBA The global architecture of CORBA. Object Model The general organization of a CORBA system. Service Collection Query Concurrency Transaction
Distributed Systems. Chapman & Hall/CRC. «H Taylor S* Francis Croup Boca Raton London New York
Distributed Systems An Algorithmic Approach Sukumar Ghosh University of Iowa Iowa City, U.S.A. Chapman & Hall/CRC «H Taylor S* Francis Croup Boca Raton London New York Chapman & Hall/CRC is an imprint
Exam 2 Review. Fall 2011
Exam 2 Review Fall 2011 Question 1 What is a drawback of the token ring election algorithm? Bad question! Token ring mutex vs. Ring election! Ring election: multiple concurrent elections message size grows
Multi-threaded programming in Java
Multi-threaded programming in Java Java allows program to specify multiple threads of execution Provides instructions to ensure mutual exclusion, and selective blocking/unblocking of threads What is a
Parallel and Distributed Systems. Programming Models. Why Parallel or Distributed Computing? What is a parallel computer?
Parallel and Distributed Systems Instructor: Sandhya Dwarkadas Department of Computer Science University of Rochester What is a parallel computer? A collection of processing elements that communicate and
Distributed Systems Conclusions & Exam. Brian Nielsen
Distributed Systems Conclusions & Exam Brian Nielsen bnielsen@cs.aau.dk Study Regulations Purpose: That the student obtains knowledge about concepts in distributed systems, knowledge about their construction,
Advanced Distributed Systems
Course Plan and Department of Computer Science Indian Institute of Technology New Delhi, India Outline Plan 1 Plan 2 3 Message-Oriented Lectures - I Plan Lecture Topic 1 and Structure 2 Client Server,
It also performs many parallelization operations like, data loading and query processing.
Introduction to Parallel Databases Companies need to handle huge amount of data with high data transfer rate. The client server and centralized system is not much efficient. The need to improve the efficiency
Mohamed M. Saad & Binoy Ravindran
Mohamed M. Saad & Binoy Ravindran VT-MENA Program Electrical & Computer Engineering Department Virginia Polytechnic Institute and State University TRANSACT 11 San Jose, CA An operation (or set of operations)
Introduction to Distributed Computing
Introduction to Distributed Computing Operating Systems Prof. Sanjeev Setia Operating Systems CS 571 1 Distributed systems Workgroups ATM (bank) machines WWW Multimedia conferencing Computing landscape
Q.1. (a) [4 marks] List and briefly explain four reasons why resource sharing is beneficial.
![Q.1. (a) [4 marks] List and briefly explain four reasons why resource sharing is beneficial.](/thumbs/95/125100287.jpg "Q.1. (a) [4 marks] List and briefly explain four reasons why resource sharing is beneficial.")
Q.1. (a) [4 marks] List and briefly explain four reasons why resource sharing is beneficial. Reduces cost by allowing a single resource for a number of users, rather than a identical resource for each
wait with priority An enhanced version of the wait operation accepts an optional priority argument:
wait with priority An enhanced version of the wait operation accepts an optional priority argument: syntax: .wait the smaller the value of the parameter, the highest the priority
Operating System Architecture. CS3026 Operating Systems Lecture 03
Operating System Architecture CS3026 Operating Systems Lecture 03 The Role of an Operating System Service provider Provide a set of services to system users Resource allocator Exploit the hardware resources
Today: Distributed Middleware. Middleware
Today: Distributed Middleware Middleware concepts Case study: CORBA Lecture 24, page 1 Middleware Software layer between application and the OS Provides useful services to the application Abstracts out
Introduction to Distributed Systems
Introduction to Distributed Systems Other matters: review of the Bakery Algorithm: why can t we simply keep track of the last ticket taken and the next ticvket to be called? Ref: [Coulouris&al Ch 1, 2]
Distributed Objects and Remote Invocation. Programming Models for Distributed Applications
Distributed Objects and Remote Invocation Programming Models for Distributed Applications Extending Conventional Techniques The remote procedure call model is an extension of the conventional procedure
Distributed Systems Principles and Paradigms
Distributed Systems Principles and Paradigms Chapter 09 (version 27th November 2001) Maarten van Steen Vrije Universiteit Amsterdam, Faculty of Science Dept. Mathematics and Computer Science Room R4.20.
Important Lessons. A Distributed Algorithm (2) Today's Lecture - Replication
Important Lessons Lamport & vector clocks both give a logical timestamps Total ordering vs. causal ordering Other issues in coordinating node activities Exclusive access to resources/data Choosing a single
Chapter 10 DISTRIBUTED OBJECT-BASED SYSTEMS
DISTRIBUTED SYSTEMS Principles and Paradigms Second Edition ANDREW S. TANENBAUM MAARTEN VAN STEEN Chapter 10 DISTRIBUTED OBJECT-BASED SYSTEMS Distributed Objects Figure 10-1. Common organization of a remote
Ph.D. Written Examination Syllabus
Ph.D. Written Examination Syllabus April 18, 2013 Architecture Syllabus 1. Fundamentals of Instruction Set Architecture (H&P, Appendix B & misc) Classifying ISAs. Memory addresses, storage formats. Basic
5. Distributed Transactions. Distributed Systems Prof. Dr. Alexander Schill
5. Distributed Transactions Distributed Systems http://www.rn.inf.tu-dresden.de Outline Transactions Fundamental Concepts Remote Database Access Distributed Transactions Transaction Monitor Folie 2 Transactions:
Applications of Paxos Algorithm
Applications of Paxos Algorithm Gurkan Solmaz COP 6938 - Cloud Computing - Fall 2012 Department of Electrical Engineering and Computer Science University of Central Florida - Orlando, FL Oct 15, 2012 1
THE UNIVERSITY OF WESTERN AUSTRALIA SAMPLE EXAM QUESTIONS 2007 WITH SOLUTIONS SCHOOL OF COMPUTER SCIENCE CITS3213 CONCURRENT PROGRAMMING (PART II)
THE UNIVERSITY OF WESTERN AUSTRALIA SAMPLE EXAM QUESTIONS 2007 WITH SOLUTIONS SCHOOL OF COMPUTER SCIENCE CITS3213 CONCURRENT PROGRAMMING (PART II) The exam will contain: 6 questions (3 for each part) Time
CONTENTS. Computer-System Structures
CONTENTS PART ONE OVERVIEW Chapter 1 Introduction 1.1 What Is an Operating System? 3 1.2 Simple Batch Systems 6 1.3 Multiprogrammed Batched Systems 8 1.4 Time-Sharing Systems 9 1.5 Personal-Computer Systems
THE IMPACT OF E-COMMERCE ON DEVELOPING A COURSE IN OPERATING SYSTEMS: AN INTERPRETIVE STUDY
THE IMPACT OF E-COMMERCE ON DEVELOPING A COURSE IN OPERATING SYSTEMS: AN INTERPRETIVE STUDY Reggie Davidrajuh, Stavanger University College, Norway, reggie.davidrajuh@tn.his.no ABSTRACT This paper presents
Megastore: Providing Scalable, Highly Available Storage for Interactive Services & Spanner: Google s Globally- Distributed Database.
Megastore: Providing Scalable, Highly Available Storage for Interactive Services & Spanner: Google s Globally- Distributed Database. Presented by Kewei Li The Problem db nosql complex legacy tuning expensive
(M.P) SUBJECT. system. goals of Q. 3. transparency? not build. in distributed systems? (b) What is. the main
SAGAR INSTITUTE Q. 2 Write the goals of UNIT NO.: I Q. 1 Explain distributed systems? distributed systems? Q. 3 Write two advantages and disadvantages of DS? Q. 4 Explain distributed computing model? Q.
Distributed Systems COMP 212. Revision 2 Othon Michail
Distributed Systems COMP 212 Revision 2 Othon Michail Synchronisation 2/55 How would Lamport s algorithm synchronise the clocks in the following scenario? 3/55 How would Lamport s algorithm synchronise
Distributed Systems Exam 1 Review. Paul Krzyzanowski. Rutgers University. Fall 2016
Distributed Systems 2016 Exam 1 Review Paul Krzyzanowski Rutgers University Fall 2016 Question 1 Why does it not make sense to use TCP (Transmission Control Protocol) for the Network Time Protocol (NTP)?
Distributed Object-Based Systems The WWW Architecture Web Services Handout 11 Part(a) EECS 591 Farnam Jahanian University of Michigan.
Distributed Object-Based Systems The WWW Architecture Web Services Handout 11 Part(a) EECS 591 Farnam Jahanian University of Michigan Reading List Remote Object Invocation -- Tanenbaum Chapter 2.3 CORBA
MaanavaN.Com DEPARTMENT OF COMPUTER SCIENCE & ENGINEERING QUESTION BANK
CS1301 DATABASE MANAGEMENT SYSTEM DEPARTMENT OF COMPUTER SCIENCE & ENGINEERING QUESTION BANK Sub code / Subject: CS1301 / DBMS Year/Sem : III / V UNIT I INTRODUCTION AND CONCEPTUAL MODELLING 1. Define
Building Consistent Transactions with Inconsistent Replication
Building Consistent Transactions with Inconsistent Replication Irene Zhang, Naveen Kr. Sharma, Adriana Szekeres, Arvind Krishnamurthy, Dan R. K. Ports University of Washington Distributed storage systems
Distributed Systems. 19. Spanner. Paul Krzyzanowski. Rutgers University. Fall 2017
Distributed Systems 19. Spanner Paul Krzyzanowski Rutgers University Fall 2017 November 20, 2017 2014-2017 Paul Krzyzanowski 1 Spanner (Google s successor to Bigtable sort of) 2 Spanner Take Bigtable and
Chapter 5: Distributed objects and remote invocation
Chapter 5: Distributed objects and remote invocation From Coulouris, Dollimore and Kindberg Distributed Systems: Concepts and Design Edition 4, Addison-Wesley 2005 Figure 5.1 Middleware layers Applications
Concurrent & Distributed Systems Supervision Exercises
Concurrent & Distributed Systems Supervision Exercises Stephen Kell Stephen.Kell@cl.cam.ac.uk November 9, 2009 These exercises are intended to cover all the main points of understanding in the lecture
殷亚凤. Consistency and Replication. Distributed Systems [7]
![殷亚凤. Consistency and Replication. Distributed Systems [7]](/thumbs/93/113815133.jpg "殷亚凤. Consistency and Replication. Distributed Systems [7]")
Consistency and Replication Distributed Systems [7] 殷亚凤 Email: yafeng@nju.edu.cn Homepage: http://cs.nju.edu.cn/yafeng/ Room 301, Building of Computer Science and Technology Review Clock synchronization
Homework #1 (Spring 2012) Due: Tuesday, February 28, 2012
Name: AndrewID: 15-440 Homework #1 (Spring 2012) Due: Tuesday, February 28, 2012 Communication 1. Consider a sliding window protocol, such as the one we discussed in class. What effect does the window
Distributed Systems. The main method of distributed object communication is with remote method invocation
Distributed Systems Unit III Syllabus:Distributed Objects and Remote Invocation: Introduction, Communication between Distributed Objects- Object Model, Distributed Object Modal, Design Issues for RMI,
Outline. Definition of a Distributed System Goals of a Distributed System Types of Distributed Systems
Distributed Systems Outline Definition of a Distributed System Goals of a Distributed System Types of Distributed Systems What Is A Distributed System? A collection of independent computers that appears
3C05 - Advanced Software Engineering Thursday, April 29, 2004
Distributed Software Architecture Using Middleware Avtar Raikmo Overview Middleware What is middleware? Why do we need middleware? Types of middleware Distributed Software Architecture Business Object
DISTRIBUTED SYSTEMS Principles and Paradigms Second Edition ANDREW S. TANENBAUM MAARTEN VAN STEEN. Chapter 1. Introduction
DISTRIBUTED SYSTEMS Principles and Paradigms Second Edition ANDREW S. TANENBAUM MAARTEN VAN STEEN Chapter 1 Introduction Modified by: Dr. Ramzi Saifan Definition of a Distributed System (1) A distributed
Distributed Systems 11. Consensus. Paul Krzyzanowski
Distributed Systems 11. Consensus Paul Krzyzanowski pxk@cs.rutgers.edu 1 Consensus Goal Allow a group of processes to agree on a result All processes must agree on the same value The value must be one
UNIT IV 1. What is meant by hardware and software clock? Clock devices can be programmed to generate interrupts at regular intervals in orders that, for example, time slicing can be implemented.the operating
0. Course Overview. 8 Architecture models; network architectures: OSI, Internet and LANs; interprocess communication III. Time and Global States
0. Course Overview I. Introduction II. Fundamental Concepts of Distributed Systems 8 Architecture models; network architectures: OSI, Internet and LANs; interprocess communication III. Time and Global
DISTRIBUTED SYSTEMS [COMP9243] Lecture 5: Synchronisation and Coordination (Part 2) TRANSACTION EXAMPLES TRANSACTIONS.
![DISTRIBUTED SYSTEMS [COMP9243] Lecture 5: Synchronisation and Coordination (Part 2) TRANSACTION EXAMPLES TRANSACTIONS.](/thumbs/72/66655861.jpg "DISTRIBUTED SYSTEMS [COMP9243] Lecture 5: Synchronisation and Coordination (Part 2) TRANSACTION EXAMPLES TRANSACTIONS.")
TRANSACTIONS Transaction: DISTRIBUTED SYSTEMS [COMP94] Comes from database world Defines a sequence of operations Atomic in presence of multiple clients and failures Slide Lecture 5: Synchronisation and
DISTRIBUTED SYSTEMS [COMP9243] Lecture 5: Synchronisation and Coordination (Part 2) TRANSACTION EXAMPLES TRANSACTIONS.
![DISTRIBUTED SYSTEMS [COMP9243] Lecture 5: Synchronisation and Coordination (Part 2) TRANSACTION EXAMPLES TRANSACTIONS.](/thumbs/93/111469359.jpg "DISTRIBUTED SYSTEMS [COMP9243] Lecture 5: Synchronisation and Coordination (Part 2) TRANSACTION EXAMPLES TRANSACTIONS.")
TRANSACTIONS Transaction: DISTRIBUTED SYSTEMS [COMP94] Comes from database world Defines a sequence of operations Atomic in presence of multiple clients and failures Slide Lecture 5: Synchronisation and
Proseminar Distributed Systems Summer Semester Paxos algorithm. Stefan Resmerita
Proseminar Distributed Systems Summer Semester 2016 Paxos algorithm stefan.resmerita@cs.uni-salzburg.at The Paxos algorithm Family of protocols for reaching consensus among distributed agents Agents may
CHAPTER - 4 REMOTE COMMUNICATION
CHAPTER - 4 REMOTE COMMUNICATION Topics Introduction to Remote Communication Remote Procedural Call Basics RPC Implementation RPC Communication Other RPC Issues Case Study: Sun RPC Remote invocation Basics
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):
2. The system of... generally ran one job at a time. These were called single stream batch processing.
Set 1 1. Which of the following is/ are the part of operating system? A) Kernel services B) Library services C) Application level services D) All of the above 2. The system of... generally ran one job
Non-blocking Array-based Algorithms for Stacks and Queues. Niloufar Shafiei
Non-blocking Array-based Algorithms for Stacks and Queues Niloufar Shafiei Outline Introduction Concurrent stacks and queues Contributions New algorithms New algorithms using bounded counter values Correctness
Synchronization Part 2. REK s adaptation of Claypool s adaptation oftanenbaum s Distributed Systems Chapter 5 and Silberschatz Chapter 17
Synchronization Part 2 REK s adaptation of Claypool s adaptation oftanenbaum s Distributed Systems Chapter 5 and Silberschatz Chapter 17 1 Outline Part 2! Clock Synchronization! Clock Synchronization Algorithms!
CSE 544 Principles of Database Management Systems. Alvin Cheung Fall 2015 Lecture 14 Distributed Transactions
CSE 544 Principles of Database Management Systems Alvin Cheung Fall 2015 Lecture 14 Distributed Transactions Transactions Main issues: Concurrency control Recovery from failures 2 Distributed Transactions
Practical Byzantine Fault Tolerance (The Byzantine Generals Problem)
Practical Byzantine Fault Tolerance (The Byzantine Generals Problem) Introduction Malicious attacks and software errors that can cause arbitrary behaviors of faulty nodes are increasingly common Previous
Lecture 06: Distributed Object
Lecture 06: Distributed Object Distributed Systems Behzad Bordbar School of Computer Science, University of Birmingham, UK Lecture 0? 1 Recap Interprocess communication Synchronous and Asynchronous communication
Integrity in Distributed Databases
Integrity in Distributed Databases Andreas Farella Free University of Bozen-Bolzano Table of Contents 1 Introduction................................................... 3 2 Different aspects of integrity.....................................
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
TDDD82 Secure Mobile Systems Lecture 1: Introduction and Distributed Systems Models
TDDD82 Secure Mobile Systems Lecture 1: Introduction and Distributed Systems Models Mikael Asplund Real-time Systems Laboratory Department of Computer and Information Science Linköping University Based
CSE Traditional Operating Systems deal with typical system software designed to be:
CSE 6431 Traditional Operating Systems deal with typical system software designed to be: general purpose running on single processor machines Advanced Operating Systems are designed for either a special
1 OBJECT-ORIENTED PROGRAMMING 1
PREFACE xvii 1 OBJECT-ORIENTED PROGRAMMING 1 1.1 Object-Oriented and Procedural Programming 2 Top-Down Design and Procedural Programming, 3 Problems with Top-Down Design, 3 Classes and Objects, 4 Fields
CS 403/534 Distributed Systems Midterm April 29, 2004
CS 403/534 Distributed Systems Midterm April 9, 004 3 4 5 Total Name: ID: Notes: ) Please answer the questions in the provided space after each question. ) Duration is 0 minutes 3) Closed books and closed
Consistency in Distributed Systems
Consistency in Distributed Systems Recall the fundamental DS properties DS may be large in scale and widely distributed 1. concurrent execution of components 2. independent failure modes 3. transmission
CSE 5306 Distributed Systems. Consistency and Replication
CSE 5306 Distributed Systems Consistency and Replication 1 Reasons for Replication Data are replicated for the reliability of the system Servers are replicated for performance Scaling in numbers Scaling
Client/Server-Architecture
Client/Server-Architecture Content Client/Server Beginnings 2-Tier, 3-Tier, and N-Tier Architectures Communication between Tiers The Power of Distributed Objects Managing Distributed Systems The State
Scheduling Transactions in Replicated Distributed Transactional Memory
Scheduling Transactions in Replicated Distributed Transactional Memory Junwhan Kim and Binoy Ravindran Virginia Tech USA {junwhan,binoy}@vt.edu CCGrid 2013 Concurrency control on chip multiprocessors significantly
{brandname} 9.4 Glossary. The {brandname} community
{brandname} 9.4 Glossary The {brandname} community Table of Contents 1. 2-phase commit........................................................................... 2 2. Atomicity, Consistency, Isolation,
Taming Dava Threads. Apress ALLEN HOLUB. HLuHB Darmstadt
Taming Dava Threads ALLEN HOLUB HLuHB Darmstadt Apress TM Chapter l The Architecture of Threads l The Problems with Threads l All Nontrivial Java Programs Are Multithreaded 2 Java's Thread Support Is Not
CA485 Ray Walshe Google File System
Google File System Overview Google File System is scalable, distributed file system on inexpensive commodity hardware that provides: Fault Tolerance File system runs on hundreds or thousands of storage
Overview. Distributed Systems. Distributed Software Architecture Using Middleware. Components of a system are not always held on the same host
Distributed Software Architecture Using Middleware Mitul Patel 1 Overview Distributed Systems Middleware What is it? Why do we need it? Types of Middleware Example Summary 2 Distributed Systems Components
Distributed Systems. Lehrstuhl für Informatik IV RWTH Aachen. Organisation. Classification of the lecture. Literature
Organisation Distributed Systems Lehrstuhl für Informatik IV RWTH Aachen Prof. Dr. Otto Spaniol Dipl.-Inform. Dirk Thißen Exercises about all 14 days Wednesday, 15.30 17.00 Room AH III, RWTH Aachen Teacher-centred
Exam 2 Review. October 29, Paul Krzyzanowski 1
Exam 2 Review October 29, 2015 2013 Paul Krzyzanowski 1 Question 1 Why did Dropbox add notification servers to their architecture? To avoid the overhead of clients polling the servers periodically to check
CS /15/16. Paul Krzyzanowski 1. Question 1. Distributed Systems 2016 Exam 2 Review. Question 3. Question 2. Question 5.
Question 1 What makes a message unstable? How does an unstable message become stable? Distributed Systems 2016 Exam 2 Review Paul Krzyzanowski Rutgers University Fall 2016 In virtual sychrony, a message