Place: a Distribted Spatio-temporal Data Stream Management System for Moving Objects

نویسندگان

  • Xiaopeng Xiong
  • Hicham G. Elmongui
  • Xiaoyong Chai
  • Walid G. Aref
چکیده

Moving objects equipped with locating devices can report their locations periodically to data stream sewers. With the pervasiveness of moving objects, one single sewer cannot support all objects and queries in a wide area. As a result, multiple spatio-temporal data stream management systems must be deployed and thus result in a sewer network. It is vital for sewers in the network to collaborate in query evaluation. In this paper; we introduce PLACE*, a distributed spatio-temporal data stream management system for moving objects. PLACE* supports continuous moving queries that hop among multiple regional sewers. To minimize the execution cost, a new Query-Track-Participate (QTP) query processing model is proposed inside PLACE*. In the QTP model, a query is continuously answered by a querying sewer; a tracking sewer; and a set of participating sewers. In this paper; we focus on distributed query plan generation, query execution and update algorithms for answering continuous range queries and continuous kNearest-Neighbor queries in PLACE* using QTI? An extensive experimental study is presented to demonstrate the effectiveness of the proposed algorithms on the scalability of

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تاریخ انتشار 2006