Resource Efficient Parallel VLDB with Customizable Degree of Redundancy

This thesis focuses on the practical use of very large scale relational databases. It leverages two recent breakthroughs in parallel and distributed computing: a) synchronous transaction replication technologies by Justin Y. Shi and Suntain Song; and b) Stateless Parallel Processing principle pioneered by Justin Y. Shi. These breakthroughs enable scalable performance and reliability of database service using multiple redundant shared-nothing database servers. This thesis presents a Functional Horizontal Partitioning method with customizable degree of redundancy to address practical very large scale database applications problems. The prototype VLDB implementation is designed for transparent non-intrusive deployments. The prototype system supports Microsoft SQL Servers databases. Computational experiments are conducted using industry-standard benchmark (TPC-E).

Grantor dc:publisher

Temple University. Libraries

Year dc:date.issued

2009

Author dc:creator

• Xiong, Fanfan

Advisor dc:contributor.advisor

• Shi, Justin Y.

Committee members dc:contributor.committeemember

• Megalooikonomou, Vasilis
• Sendaula, Musoke H.
• Yates, Alexander

• Computer Science
• Relational Database Partition
• Scalability
• Shared-nothing Distributed System
• Speedup
• Synchronous Transaction Replication
• Vldb Oltp

Statement dc:rights

• IN COPYRIGHT- This Rights Statement can be used for an Item that is in copyright. Using this statement implies that the organization making this Item available has determined that the Item is in copyright and either is the rights-holder, has obtained permission from the rights-holder(s) to make their Work(s) available, or makes the Item available under an exception or limitation to copyright (including Fair Use) that entitles it to make the Item available.

Licence dc:rights.uri

• http://rightsstatements.org/vocab/InC/1.0/

Language dc:language.iso

eng

Dc Identifier Other

864884596

OAI identifier oai:identifier

oai:scholarshare.temple.edu:20.500.12613/3865