'Consistency model' diaporamas de présentation

Consistency and Replication

Consistency and Replication. Chapter 7. Giving credit where credit is due:. CSCE455/855 Distributed Operating Systems. Most of the lecture notes are based on slides by Prof. Jalal Y. Kawash at Univ. of Calgary Prof. Kenneth Chiu at SUNY Binghamton

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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.

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Distributed Systems

Distributed Systems. Consistency and Replication Chapter 7. Course/Slides Credits.

839 views • 72 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.

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Replication and Consistency

Replication and Consistency. Data and Object Replication Data Consistency Model Implementation Issues. Replication. What replicate? Data, File, process, object, service, etc Why replicate? Enhance performance: Caching data in clients and servers to reduce latency

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Asynchronous View Maintenance for VLSD Databases Under the guidance of : Prof. S. Sudarshan

Asynchronous View Maintenance for VLSD Databases Under the guidance of : Prof. S. Sudarshan. Purva P. Joshi 08305907. Introduction. Large scale shared nothing databases (PNUTS, BigTable, Dynamo, Cassandra) trade query expressiveness for scalability and performance.

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15-446 Distributed Systems Spring 2009

15-446 Distributed Systems Spring 2009. L -10 Consistency. 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 leader.

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Distributed Systems CS 15-440

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Distributed Systems CS 15-440

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A Scalable Content Distribution Service for Dynamic Web Content

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Using Simulation to Explore Distributed Key-Value Stores for Extreme-Scale System Services

Using Simulation to Explore Distributed Key-Value Stores for Extreme-Scale System Services. Ke Wang , Abhishek Kulkarni , Mi chael Lang, Dorian Arnold, Ioan Raicu USRC @ Los Alamos National Laboratory Datasys @ Illinois Institute of Technology CS @ Indiana University

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Distributed Systems CS 15-440

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The File System

The File System. Sanjay Ghemawat, Howard Gobioff, Shun-Tak Leung (Google). Outline. Motivation Assumptions Architecture Implementation Current Status Measurements Benefits/Limitations Conclusion. Motivation. Need for a scalable DFS

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Internet Documentation and Integration of Metadata (IDIOM)

Internet Documentation and Integration of Metadata (IDIOM). Presented by Ahmet E. Topcu atopcu@cs.indiana.edu Advisor: Prof. Geoffrey C. Fox 1/14/2009. Why IDIOM Project?. Necessities for integration Need for common data format No easy way to find all publications

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A Low-bandwidth Network File System

A Low-bandwidth Network File System. Athicha Muthitacharoen et al. Presented by Matt Miller September 12, 2002. Problem Statement. Network file systems cannot be used over slower WANs due to longer delay, less available bandwidth Ad hoc solutions:

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Lecture 11: Consistency Models

Lecture 11: Consistency Models. Topics: sequential consistency, hw and hw/sw optimizations. Coherence Vs. Consistency. Recall that coherence guarantees (i) that a write will eventually be seen by other processors, and (ii) write

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The Google File System

The Google File System. Presentation by: Eric Frohnhoefer. Assumptions. Built from inexpensive commodity components Cheap components frequently fail Modest number of large files Few million files, each 100 MB or larger Support for large streaming reads and small random reads

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Questions To Ask When Considering Designing Asymmetric Multiprocessing Systems

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GLOMAR

GLOMAR. A daptive Consistency Control for Distributed File Systems. Simon Cuce simon.cuce@csse.monash.edu.au. Issues. Current Distributed File Systems (DFS) are implemented on a mix of hardware platforms, software implementations and user requirements.

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