DocumentCode :
2767599
Title :
Intelligent Workload Factoring for a Hybrid Cloud Computing Model
Author :
Zhang, Hui ; Jiang, Guofei ; Yoshihira, Kenji ; Chen, Haifeng ; Saxena, Akhilesh
Author_Institution :
NEC Labs. America, Princeton, NJ, USA
fYear :
2009
fDate :
6-10 July 2009
Firstpage :
701
Lastpage :
708
Abstract :
We present an intelligent workload factoring service for enterprise customers to make the best use of public cloud services along with their privately-owned (legacy) data centers. It enables federation between on- and off-premise infrastructures for hosting Internet-based applications, and the intelligence lies in the explicit segregation of base workload and trespassing workload, the two naturally different components composing the application workload. The core technology of the intelligent workload factoring service is a fast frequent data item detection algorithm, which enables factoring incoming requests not only on volume but also on data content, upon changing application data popularity.
Keywords :
Internet; commerce; customer services; Internet; cloud computing; data centers; enterprise customers; intelligent workload factoring; Cloud computing; Computer architecture; Detection algorithms; Internet; Laboratories; Load management; National electric code; Resource management; Streaming media; Technology management; cloud computing; load balancing; randomized algorithms; workload management;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Services - I, 2009 World Conference on
Conference_Location :
Los Angeles, CA
Print_ISBN :
978-0-7695-3708-5
Electronic_ISBN :
978-0-7695-3708-5
Type :
conf
DOI :
10.1109/SERVICES-I.2009.26
Filename :
5190708
Link To Document :
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