DocumentCode :
2537133
Title :
Optimization of Resource Scheduling in Cloud Computing
Author :
Li, Qiang ; Guo, Yike
Author_Institution :
Coll. of Comput. Sci., Sichuan Univ., Chengdu, China
fYear :
2010
fDate :
23-26 Sept. 2010
Firstpage :
315
Lastpage :
320
Abstract :
Resource scheduling based on SLA (Service Level Agreement) in cloud computing is NP-hard problem. There is no efficient method to solve it. This paper proposes a new method to solve the problem by applying stochastic integer programming for optimal resource scheduling in cloud computing. Applying Gröbner bases theory for solving the stochastic integer programming problem and the experimental results of the implementation are also presented.
Keywords :
cloud computing; integer programming; scheduling; stochastic programming; Grobner bases theory; cloud computing; resource scheduling optimization; service level agreement; stochastic integer programming; Business; Cloud computing; Computational modeling; Linear programming; Optimization; Quality of service; Stochastic processes; Cloud Computing; Groebner Bases; SLA; Stochastic Integer Programming;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Symbolic and Numeric Algorithms for Scientific Computing (SYNASC), 2010 12th International Symposium on
Conference_Location :
Timisoara
Print_ISBN :
978-1-4244-9816-1
Type :
conf
DOI :
10.1109/SYNASC.2010.8
Filename :
5715303
Link To Document :
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