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- W2146703553 abstract "Distributed database systems have long been a topic of interest in the database research community. Existing designs focus on two principles; make the distribution transparent to users and provide a rich declarative query language with strict semantic guarantees. As a result, they have modest targets for network scalability with none of these systems being deployed on much more than a handful of distributed sites. The Internet community has recently become interested in distributed query processing. Not surprisingly, they approach this problem from a very different angle than the traditional database literature. The fundamental goal of Internet systems is to operate at very large scale (thousands if not millions of nodes). To achieve this degrees of scale, these system sacrifice transparency and/or flexibility. This thesis develops a system called PIER (which stands for Peer-to-Peer Information Exchange and Retrieval) which provides a rich query language that provides location transparency and scalability with relaxed semantics. We explore the architecture of PIER, develop techniques for query processing (with specific focus on aggregation and join operations), and finally examine an optimization problem with multiple simultaneous aggregation queries." @default.
- W2146703553 created "2016-06-24" @default.
- W2146703553 creator A5008753977 @default.
- W2146703553 creator A5043626252 @default.
- W2146703553 date "2008-01-01" @default.
- W2146703553 modified "2023-09-27" @default.
- W2146703553 title "Pier: internet scale p2p query processing with distributed hash tables" @default.
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