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CS 347: Distributed Databases and Transaction Processing Data Replication

CS 347: Distributed Databases and Transaction Processing Data Replication

CS 347: Distributed Databases and Transaction Processing Data Replication. Hector Garcia-Molina. Replication Space. Updates at any copy at fixed (primary) copy at one copy but control can migrate no updates. Replication Space. Correctness no consistency local consistency

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647 views • 54 slides
An Ensemble of Replication and Erasure Codes for CFS

An Ensemble of Replication and Erasure Codes for CFS

An Ensemble of Replication and Erasure Codes for CFS. Ma, Nandagopal , Puttaswamy , Banerjee. Presenter: Sen Yang. Outline. Background CAROM Evaluation Discussion. Amazon S3. Windows Azure. a single failure. a DC is completely inaccessible to the outside world .

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652 views • 49 slides
III. Current Trends

III. Current Trends

3C13/D6. III. Current Trends . Distributed DBMSs: Advanced Concepts. 13.0 Content. Content. 13.1 Objectives 13.2 Distributed Transaction Management 13.3 Distributed Concurrency Control - Objectives - Locking Protocols - Timestamp Protocols 13.4 Distributed Deadlock Management

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473 views • 45 slides
Lecture XII: Replication

Lecture XII: Replication

Lecture XII: Replication. CMPT 401 2008 Dr. Alexandra Fedorova. Replication. Why Replicate? (I). Fault-tolerance / High availability As long as one replica is up, the service is available Assume each of n replicas has same independent probability p to fail. Availability = 1 - p n.

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507 views • 40 slides
Lecture XII: Replication

Lecture XII: Replication

Lecture XII: Replication. CMPT 401 2008 Dr. Alexandra Fedorova. Replication. Why Replicate? (I). Fault-tolerance / High availability As long as one replica is up, the service is available Assume each of n replicas has same independent probability p to fail. Availability = 1 - p n.

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486 views • 40 slides
Distributed Databases and Client-Server Architectures

Distributed Databases and Client-Server Architectures

Distributed Databases and Client-Server Architectures. Chapter 25. Chapter Outline. Distributed Database (DDB) Concepts Data Fragmentation, Replication and Allocation Types of Distributed Database Systems Query Processing Concurrency Control and Recovery 3-Tier Client-Server Architecture.

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649 views • 30 slides
Distributed databases

Distributed databases

Distributed databases. 3. Outline. generalities objectives problems. 1. application. application. server. server. server. application. communication network. application. application. application. application. Introduction. DBMS in its own right. Introduction.

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309 views • 30 slides
Distributed Locking

Distributed Locking

Distributed Locking. Distributed Locking (No Replication). Assumptions Lock tables are managed by individual sites. The component of a transaction at a site can request locks on the data elements only at that site. Locking X It might seem that there are no messages between sites needed.

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407 views • 10 slides
As summarized by : Preethi Vishwanath San Jose State Computer Science

As summarized by : Preethi Vishwanath San Jose State Computer Science

Database Replication techniques: a Three Parameter Classification Authors : Matthias Wiesmann, Fernando Pedonet, Andr Schiper, Bettina Kemmet, Gustavo Alonso. As summarized by : Preethi Vishwanath San Jose State Computer Science. Challenges

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372 views • 9 slides
Data Integrity Compilation

Data Integrity Compilation

Data Integrity Compilation. Data Integrity Compilation Presented by: Al Schultz Location: PDS Management Council Meeting USGS Flagstaff, AZ Date: July 8, 2008. Primary Copy of Data Availability & DI.

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182 views • 6 slides

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