DocumentCode :
1791128
Title :
Research on the Resource Joint Scheduling in Optical Networks for Cloud Computing
Author :
Li Ming ; Zhang Yinfa ; Ren Shuai ; Wang Peng ; Wang Kun
Author_Institution :
Xi´an Commun. Inst., Xi´an, China
fYear :
2014
fDate :
25-26 Oct. 2014
Firstpage :
596
Lastpage :
599
Abstract :
For the joint scheduling problem of network resources and IT resources in optical networks during the cloud computing era, the cloud computing-oriented optical network architecture (CCOONA) and the resource model and task model are built. Moreover, a minimum cost-resource joint scheduling (MC-RJS) algorithm is designed. The joint scheduling scheme of using MC-RJS algorithm based on CCOONA is proposed, and the detail operation process of the scheme is described. Algorithm simulation shows that the scheme not only solves the awareness problem of IT resources in traditional optical networks, but also can complete the joint scheduling task in a low cost and load balanced way.
Keywords :
cloud computing; optical fibre networks; resource allocation; scheduling; CCOONA; IT resources; MC-RJS algorithm; cloud computing-oriented optical network architecture; load balancing; minimum cost-resource joint scheduling algorithm; network resources; resource joint scheduling problem; resource model; task model; Algorithm design and analysis; Cloud computing; Computational modeling; Computer architecture; Joints; Optical fiber networks; Processor scheduling; Architecture; Cloud Computing; Optical Networks; Resource Joint Scheduling;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Computation Technology and Automation (ICICTA), 2014 7th International Conference on
Conference_Location :
Changsha
Print_ISBN :
978-1-4799-6635-6
Type :
conf
DOI :
10.1109/ICICTA.2014.149
Filename :
7003612
Link To Document :
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