A Transaction Model for Management for Replicated Data with Multiple Consistency Levels

Loading...
Thumbnail Image

View/Download File

Persistent link to this item

Statistics
View Statistics

Journal Title

Journal ISSN

Volume Title

Title

A Transaction Model for Management for Replicated Data with Multiple Consistency Levels

Published Date

2014-08-28

Publisher

Type

Report

Abstract

We present here a transaction model for managing replicated data with different consistency guarantees to make suitable trade-offs between data availability, scalability, and consistency for different data items. Data is organized in a hierarchy which is based on consistency levels and the associated transaction management protocols. The model presented here is based on imposing certain constraints on information flow across data layers in this hierarchy to ensure the desired consistency guarantees for data items at different levels. The transaction model proposed here simultaneously supports transactions with different consistency levels, which include ACID transactions for strong consistency, and weaker consistency models such as snapshot isolation (SI), causal snapshot isolation (CSI), CSI with commutative updates, and CSI with unsynchronized concurrent updates. The building block for this transaction model is the snapshot isolation model.

Keywords

Description

Related to

Replaces

License

Series/Report Number

Funding information

Isbn identifier

Doi identifier

Previously Published Citation

Suggested citation

Tripathi, Anand. (2014). A Transaction Model for Management for Replicated Data with Multiple Consistency Levels. Retrieved from the University Digital Conservancy, https://hdl.handle.net/11299/215958.

Content distributed via the University Digital Conservancy may be subject to additional license and use restrictions applied by the depositor. By using these files, users agree to the Terms of Use. Materials in the UDC may contain content that is disturbing and/or harmful. For more information, please see our statement on harmful content in digital repositories.