Workload scheduling for multiple query processing

Information Processing Letters

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Bibliographic Details
Main Authors:	Tan, K.-L., Lu, H.
Other Authors:	INFORMATION SYSTEMS & COMPUTER SCIENCE
Format:	Article
Published:	2014
Subjects:	Join Multi-query Optimization Pipelining Workload scheduling
Online Access:	http://scholarbank.nus.edu.sg/handle/10635/99467
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Institution:	National University of Singapore

id	sg-nus-scholar.10635-99467
record_format	dspace
spelling	sg-nus-scholar.10635-994672015-02-08T11:13:15Z Workload scheduling for multiple query processing Tan, K.-L. Lu, H. INFORMATION SYSTEMS & COMPUTER SCIENCE Join Multi-query Optimization Pipelining Workload scheduling Information Processing Letters 55 5 251-257 IFPLA 2014-10-27T06:04:26Z 2014-10-27T06:04:26Z 1995-09-15 Article Tan, K.-L.,Lu, H. (1995-09-15). Workload scheduling for multiple query processing. Information Processing Letters 55 (5) : 251-257. ScholarBank@NUS Repository. 00200190 http://scholarbank.nus.edu.sg/handle/10635/99467 NOT_IN_WOS Scopus
institution	National University of Singapore
building	NUS Library
country	Singapore
collection	ScholarBank@NUS
topic	Join Multi-query Optimization Pipelining Workload scheduling
spellingShingle	Join Multi-query Optimization Pipelining Workload scheduling Tan, K.-L. Lu, H. Workload scheduling for multiple query processing
description	Information Processing Letters
author2	INFORMATION SYSTEMS & COMPUTER SCIENCE
author_facet	INFORMATION SYSTEMS & COMPUTER SCIENCE Tan, K.-L. Lu, H.
format	Article
author	Tan, K.-L. Lu, H.
author_sort	Tan, K.-L.
title	Workload scheduling for multiple query processing
title_short	Workload scheduling for multiple query processing
title_full	Workload scheduling for multiple query processing
title_fullStr	Workload scheduling for multiple query processing
title_full_unstemmed	Workload scheduling for multiple query processing
title_sort	workload scheduling for multiple query processing
publishDate	2014
url	http://scholarbank.nus.edu.sg/handle/10635/99467
_version_	1681092195287826432

Workload scheduling for multiple query processing

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