Please use this identifier to cite or link to this item: http://scholarbank.nus.edu.sg/handle/10635/15643
Title: Scalable and adaptable distributed stream processing
Authors: ZHOU YONGLUAN
Keywords: Stream Processing, Data Dissemination, Adaptive Query Processing, Query Optimization, Distributed Database, Parallel Database
Issue Date: 1-Feb-2007
Citation: ZHOU YONGLUAN (2007-02-01). Scalable and adaptable distributed stream processing. ScholarBank@NUS Repository.
Abstract: Data stream processing has a wide applicability, ranging from computer network management to financial monitoring to environment monitoring through sensor network. This thesis examines the design of a large scale distributed stream processing system, COSMOS (Cooperative and Self-tuning Management Of Streaming data), with the emphasis on its scalability and adaptability issues. COSMOS is composed of a number of widely distributed stream processing Service Providers (SP). It adopts a two-layer architecture, namely the inter-provider layer and the intra-provider layer. The inter-provider layer manages the cooperation among the widely distributed SPs while the intra-provider layer harnesses a cluster of locally distributed processors inside an SP. We propose scalable and adaptable techniques to distribute the user queries to the SPs for processing, to disseminate fast updating data streams from the data sources to the SPs, as well as to process the queries allocated to an SP.
URI: http://scholarbank.nus.edu.sg/handle/10635/15643
Appears in Collections:Ph.D Theses (Open)

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