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    Resource Efficient Parallel VLDB with Customizable Degree of Redundancy

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    Xiong_temple_0225E_10144.pdf
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    Genre
    Thesis/Dissertation
    Date
    2009
    Author
    Xiong, Fanfan
    Advisor
    Shi, Justin Y.
    Committee member
    Megalooikonomou, Vasilis
    Sendaula, Musoke H.
    Yates, Alexander
    Department
    Computer and Information Science
    Subject
    Computer Science
    Relational Database Partition
    Scalability
    Shared-nothing Distributed System
    Speedup
    Synchronous Transaction Replication
    Vldb Oltp
    Permanent link to this record
    http://hdl.handle.net/20.500.12613/3865
    
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    DOI
    http://dx.doi.org/10.34944/dspace/3847
    Abstract
    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).
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