请帮助查询以下文章的EI检索号：1.Complex Task Query Based on Cloud Computing Resource:Improved Approximate Skyline Algorithm.2.An implementation of Novel Map-reduce Model ：improved cloud computing model

请帮助查询以下文章的EI检索号：1.Complex Task Query Based on Cloud Computing Resource:Improved Approximate Skyline Algorithm.2.An implementation of Novel Map-reduce Model ：improved cloud computing model
请帮助查询以下文章的EI检索号：
1.Complex Task Query Based on Cloud Computing Resource:Improved Approximate Skyline Algorithm.
2.An implementation of Novel Map-reduce Model ：improved cloud computing model

请帮助查询以下文章的EI检索号：1.Complex Task Query Based on Cloud Computing Resource:Improved Approximate Skyline Algorithm.2.An implementation of Novel Map-reduce Model ：improved cloud computing model
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Accession number:20110913704889
Title:Complex task query based on cloud computing Resource:Improved approximate skyline algorithm
Authors:Shi,Hengliang1,2,3 ; Bai,Guangyi1,3 ; Liu,Zhonghua1,2 ; Tang,Zhenmin1
Author affiliation:1 School of Computer Science,Nanjing University of Science and Technology,Nanjing,China
2 School of Computer Science,Henau Unnersity of Science and Technology,China
3 Noah IT Solution Co.LTD,China
Corresponding author:Shi,H.(Shihl@noahsi.com.cn)
Source title:2nd International Conference on Information Science and Engineering,ICISE2010 - Proceedings
Abbreviated source title:Int.Conf.Inf.Sci.Eng.,ICISE - Proc.
Monograph title:2nd International Conference on Information Science and Engineering,ICISE2010 - Proceedings
Issue date:2010
Publication year:2010
Pages:1093-1096
Article number:5690344
Language:English
ISBN-13:9781424480968
Document type:Conference article (CA)
Conference name:2nd International Conference on Information Science and Engineering,ICISE2010
Conference date:December 4,2010 - December 6,2010
Conference location:Hangzhou,China
Conference code:83809
Sponsor:Hangzhou Dianzi University; United Nations Educational Scientific and Cultural Organization; Nanjing University of Information Science and Technology; Georgia State University; Anhui University of Science and Technology; College of Computer and Information of Hohai University
Publisher:IEEE Computer Society,445 Hoes Lane - P.O.Box 1331,Piscataway,NJ 08855-1331,United States
Abstract:Cloud computing aims at sharing all resource completely,which include CPU's computing ability,store capacity,network bandwidth and etc.Most cloud computing users task requisitions are among multiple target requisition which are hard to be met by these requisition conditions simultaneously.So it is the key to find out the most approximate node machine among large number of node machines in cloud computing model.This paper presents an improved approximate skyline algorithm to hunt to most approximate node machine economically,and provides an alternative reference for the coming task allocation.© 2010 IEEE.
Number of references:6
Main heading:Cloud computing
Controlled terms:Algorithms - Computer systems - Information science
Uncontrolled terms:Complex task - Computing abilities - Computing resource - Multiple targets - Network bandwidth - Query algorithms - Skyline - Task allocation
Classification code:722 Computer Systems and Equipment - 722.4 Digital Computers and Systems - 723 Computer Software,Data Handling and Applications - 903 Information Science - 921 Mathematics
DOI:10.1109/ICISE.2010.5690344
Database:Compendex
Compilation and indexing terms,© 2011 Elsevier Inc.
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