'Correct processes' presentation slideshows

On the Cost of Fault-Tolerant Consensus When There are no Faults

On the Cost of Fault-Tolerant Consensus When There are no Faults. Idit Keidar and Sergio Rajsbaum PODC 2002 Tutorial. About This Tutorial. Preliminary version in SIGACT News and MIT Tech Report, June 2001 More polished lower bound proof to appear in IPL

784 views • 69 slides

On the Cost of Fault-Tolerant Consensus When There are no Faults

On the Cost of Fault-Tolerant Consensus When There are no Faults. Idit Keidar and Sergio Rajsbaum PODC 2002 Tutorial. About This Tutorial. Preliminary version in SIGACT News and MIT Tech Report, June 2001 More polished lower bound proof to appear in IPL

823 views • 69 slides

On the Cost of Fault-Tolerant Consensus When There are no Faults

On the Cost of Fault-Tolerant Consensus When There are no Faults. Idit Keidar and Sergio Rajsbaum PODC 2002 Tutorial. About This Tutorial. Preliminary version in SIGACT News and MIT Tech Report, June 2001 More polished lower bound proof to appear in IPL

697 views • 69 slides

Distributed systems II Fault-Tolerant Broadcast

Prof Philippas Tsigas Distributed Computing and Systems Research Group. Distributed systems II Fault-Tolerant Broadcast. Broadcast. A. deliver. m. B. m. broadcast. deliver. C. Fault-Tolerant Broadcast. Terminology: broadcast(m) a process broadcasts a message to the others

840 views • 67 slides

Distributed systems II Fault-Tolerant Broadcast

Prof Philippas Tsigas Distributed Computing and Systems Research Group. Distributed systems II Fault-Tolerant Broadcast. Broadcast. A. deliver. m. B. m. broadcast. deliver. C. Fault-Tolerant Broadcast. Terminology: broadcast(m) a process broadcasts a message to the others

674 views • 67 slides

Distributed systems II Fault-Tolerant Broadcast ( cnt .)

Prof Philippas Tsigas Distributed Computing and Systems Research Group. Distributed systems II Fault-Tolerant Broadcast ( cnt .). Figure 11.12. Total, FIFO and causal ordering of multicast messages. Notice the consistent ordering of totally ordered messages T 1 and T 2 .

824 views • 65 slides

Lecture 4 Introduction to Principles of Distributed Computing

Lecture 4 Introduction to Principles of Distributed Computing. Sergio Rajsbaum Math Institute UNAM, Mexico. Lecture 4. Consensus in partially synchronous systems, and failure detectors Part I : Realistic timing model and metric Part II : Failure detectors, algorithms

765 views • 62 slides

Lecture IX: Coordination And Agreement

Lecture IX: Coordination And Agreement. CMPT 401 Summer 2007 Dr. Alexandra Fedorova. A Replicated Service. servers. client. network. slave. W. R. master. W. R. W. slave. client. data replication. write. read. W. W. R. A Need For Coordination And Agreement. servers. client.

587 views • 49 slides

On the Cost of Fault-Tolerant Consensus When There are no Faults

On the Cost of Fault-Tolerant Consensus When There are no Faults. Idit Keidar & Sergio Rajsbaum Appears in SIGACT News; IPL. Consensus. Every process has input, outputs decision Agreement : two correct processes that decide, decide the same Validity : decision is input of one process

531 views • 42 slides

Distributed systems II Fault-Tolerant Broadcast

Prof Philippas Tsigas Distributed Computing and Systems Research Group. Distributed systems II Fault-Tolerant Broadcast. Broadcast. A. deliver. m. B. m. broadcast. deliver. C. Fault-Tolerant Broadcast. Terminology: broadcast(m) a process broadcasts a message to the others

362 views • 35 slides

Lecture 3 Introduction to Principles of Distributed Computing

Lecture 3 Introduction to Principles of Distributed Computing. Sergio Rajsbaum Math Institute UNAM, Mexico. Lecture 3. Part I : synchronous uniform consensus lower bound. L 2 (X 0 ). L(X 0 ). X 0. The lecture in a nutshell. Traditionally different models were treated in different ways

307 views • 30 slides

Good System Engineering

The ? - Model , and how to Boot Clock Synchronization in it Josef Widder Embedded Computing Systems Group widder@ecs.tuwien.ac.at INRIA Rocquencourt, February 10, 2004. Good System Engineering. Algorithms proven correctly in CompMod. Computational Model. today. System Model.

363 views • 28 slides

Unreliable Failure Detectors for Reliable Distributed Systems

Unreliable Failure Detectors for Reliable Distributed Systems. T Chandra, Sam Toueg, 1996. Why Fault Tolerance. Fault Tolerance in Asynchronous Distributed Systems. Problem: Impossible! (FLP, 1985) Solution: Randomization Failure Detectors. Unreliable Failure Detectors.

519 views • 25 slides

Ordered Communication

Ordered Communication. Ordered Communication. Define guarantees about the order of deliveries inside group of processes Type of ordering: Deliveries respect the FIFO ordering of the corresponding sendings Deliveries respect the Causal ordering of the corresponding sendings

329 views • 25 slides

Algorithms for Extracting Timeliness Graphs

321 views • 24 slides

Fault-Tolerant Broadcast

Fault-Tolerant Broadcast. Terminology: broadcast(m) a process broadcasts a message to the others deliver(m) a process delivers a message to itself. Atomic Broadcast. Models: Synchronous vs. asynchronous Types of process failures Types of communication failures Network topology

246 views • 24 slides

Distributed systems II Fault-Tolerant AGREEMENT

350 views • 22 slides

CS 425/ECE 428/CSE424 Distributed Systems (Fall 2009)

CS 425/ECE 428/CSE424 Distributed Systems (Fall 2009). Lecture 9 Consensus I Section 12.5.1-12.5.3 Klara Nahrstedt. Acknowledgement. The slides during this semester are based on ideas and material from the following sources:

326 views • 22 slides

Distributed Algorithms

312 views • 13 slides