ScholarlyCommons (University of Pennsylvania) · 2005 · 205 citations · 57 references
Open access
ComputingComputer ScienceComputer SystemsComputer ArchitectureDatabasesDistributed SystemsDatabase ManagementDistributed Data ProcessingQuery OptimizationQuery ProcessingSearch SystemsStructured Query LanguageParallel Query ProcessingScalable IndexingScalable Query Infrastructure
This paper presents the architecture of PIER, an Internetscale query engine we have been building over the last three years. PIER is the first general-purpose relational query processor targeted at a peer-to-peer (p2p) architecture of thousands or millions of participating nodes on the Internet. It supports massively distributed, database-style dataflows for snapshot and continuous queries. It is intended to serve as a building block for a diverse set of Internet-scale information-centric applications, particularly those that tap into the standardized data readily available on networked machines, including packet headers, system logs, and file names. In earlier
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