Titlebook: Stream Data Management; Nauman A. Chaudhry,Kevin Shaw,Mahdi Abdelguerfi Book 2005 Springer-Verlag US 2005 Extensible Markup Language (XML)

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Query Execution and Optimization,assume the environment is completely dynamic and highly unpredictable. In this chapter we explore both approaches and present novel query optimization and evaluation techniques for queries over streaming sources.

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Diatribe

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Introduction to Stream Data Management,ibed and the challenges for data management systems in supporting these requirements are identified. This is followed by a description of solutions aimed at providing the required functionality. The chapter concludes with a tour of the rest of the chapters in the book.

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Filtering, Punctuation, Windows and Synopses,r query processing over such streams, such as outstripping CPU or memory resources, operators that wait for the end of input and unbounded query state. We then consider various techniques for meeting those challenges. . attempts to reduce stream volume in order to save on system resources. . incorpo

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XML & Data Streams,groups. . algorithms compute results by analyzing an input stream of documents one tag at a time. In contrast, . algorithms take advantage of (precomputed or computed-on-demand) numbering schemes over each input XML document in the stream. In this chapter, we present an index-based technique, ., to