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A grid-based middleware for processi...

Chen, Liang.

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A grid-based middleware for processing distributed data streams.

Record Type:	Language materials, printed : Monograph/item
Title/Author:	A grid-based middleware for processing distributed data streams./
Author:	Chen, Liang.
Description:	173 p.
Notes:	Adviser: Gagan Agrawal.
Contained By:	Dissertation Abstracts International67-08B.
Subject:	Computer Science. -
Online resource:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3230895
ISBN:	9780542823282

A grid-based middleware for processing distributed data streams.
Chen, Liang.

A grid-based middleware for processing distributed data streams. - 173 p.

Adviser: Gagan Agrawal.

Thesis (Ph.D.)--The Ohio State University, 2006.

We have studied various data stream applications with support of GATES to intensively evaluate our middleware. The experimental results have demonstrated the expected advantages of utilizing GATES.

ISBN: 9780542823282Subjects--Topical Terms:

626642
Computer Science.

A grid-based middleware for processing distributed data streams.
LDR:02388nam 2200301 a 45 001 968550
005 20110915
008 110915s2006 eng d
020 $a 9780542823282
035 $a (UMI)AAI3230895
035 $a AAI3230895
040 $a UMI $c UMI
100 1 $a Chen, Liang. $3 1256717
245 1 2 $a A grid-based middleware for processing distributed data streams.
300 $a 173 p.
500 $a Adviser: Gagan Agrawal.
500 $a Source: Dissertation Abstracts International, Volume: 67-08, Section: B, page: 4515.
502 $a Thesis (Ph.D.)--The Ohio State University, 2006.
520 $a We have studied various data stream applications with support of GATES to intensively evaluate our middleware. The experimental results have demonstrated the expected advantages of utilizing GATES.
520 $a Increasingly, a number of applications rely on, or can potentially benefit from, analysis and monitoring of data streams. Moreover, many of these applications involve high volume data streams and require real-time and distributed processing of data arising from a distributed set of sources.
520 $a We believe that a grid environment is well suited for flexible and adaptive analysis of these streams. Thus, our research focuses on designing and evaluating a middleware to support the processing of these streams. Our system is referred to as GATES (Grid-based AdapTive Execution on Streams). It flexibly achieves the best accuracy that is possible while maintaining the real-time constraint on the analysis. We have developed self-adaptation algorithms for this purpose.
520 $a Further, we have addressed the problem of resource allocation in the GATES system. We design a static resource allocation algorithm to generate sub-optimal allocations and the experimental evaluation shows these allocations are very close to the optimal one. We also develop an infrastructure to support resource monitoring and dynamic resource allocation. Moreover, we implement efficient and low-cost dynamic migration for pipelined applications in a grid environment by using the notion of Light-weight Summary Structure (LSS).
590 $a School code: 0168.
650 4 $a Computer Science. $3 626642
690 $a 0984
710 2 0 $a The Ohio State University. $3 718944
773 0 $t Dissertation Abstracts International $g 67-08B.
790 $a 0168
790 1 0 $a Agrawal, Gagan, $e advisor
791 $a Ph.D.
792 $a 2006
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3230895