In this paper, we present the design and evaluation of CQ-Buddy, a peer-to-peer (p2p) continuous query (CQ) processing system that is distributed, and highly-scalable. CQ-Buddy exploits the differences in capabilities (processing and memory) of peers and load-balances the tasks across powerful and weak peers. Our main contributions are as follows: First, CQ-Buddy introduces the notion of pervasive continuous queries to tackle the frequent disconnected problems common in a peer-to-peer environment. Second, CQ-Buddy allows for inter-sharing and intra-sharing in the processing of continuous queries amongst peers. Third, CQ-Buddy peers perform query-centric load balancing for overloaded data source providers by acting as proxies. We have conducted extensive studies to evaluate CQ-Buddy’s performance. Our results show that CQ-Buddy is highly scalable, and is able to process continuous queries in an effective and efficient manner. / Singapore-MIT Alliance (SMA)
| Identifer | oai:union.ndltd.org:MIT/oai:dspace.mit.edu:1721.1/3855 |
| Date | 01 1900 |
| Creators | Ng, Wee Siong, Shu, Yanfeng, Tok, Wee Hyong |
| Source Sets | M.I.T. Theses and Dissertation |
| Language | en_US |
| Detected Language | English |
| Type | Article |
| Format | 86440 bytes, application/pdf |
| Relation | Computer Science (CS); |
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