'Sequentially consistent' presentation slideshows

Chapter 6 Consistency and Replication

Chapter 6 Consistency and Replication. Reasons for Replication. To increase the reliability of a system Survive after one replica crashes Better protection against corrupted data Performance Scalability Numerous clients The size of geographical area. Price of Replication.

1.47k views • 117 slides

Optimization of Java-Like Languages for Parallel and Distributed Environments

Optimization of Java-Like Languages for Parallel and Distributed Environments. Kathy Yelick. U.C. Berkeley Computer Science Division. http://www.cs.berkeley.edu/~yelick/talks.html. What this tutorial is about. Language and compiler support for: Performance Programmability Scalability

1.06k views • 106 slides

Consistency and Replication

Consistency and Replication. Why Replicate Data?. Enhance reliability. Improve performance. But: if there are many replicas of the same thing, how do we keep all of them up-to-date? How do we keep the replicas consistent ? Consistency can be achieved in a number of ways.

927 views • 67 slides

CSCE 668 DISTRIBUTED ALGORITHMS AND SYSTEMS

CSCE 668 DISTRIBUTED ALGORITHMS AND SYSTEMS. Fall 2011 Prof. Jennifer Welch. Distributed Shared Memory. A model for inter-process communication Provides illusion of shared variables on top of message passing

625 views • 49 slides

CSCE 668 DISTRIBUTED ALGORITHMS AND SYSTEMS

CSCE 668 DISTRIBUTED ALGORITHMS AND SYSTEMS. Fall 2011 Prof. Jennifer Welch. Distributed Shared Memory. A model for inter-process communication Provides illusion of shared variables on top of message passing

498 views • 49 slides

CPSC 668 Distributed Algorithms and Systems

CPSC 668 Distributed Algorithms and Systems. Fall 2006 Prof. Jennifer Welch. Distributed Shared Memory. A model for inter-process communication Provides illusion of shared variables on top of message passing

610 views • 45 slides

Consistency & Replication I

500 views • 29 slides