DocumentCode :
725343
Title :
Harnessing the Power of Multiple Cloud Service Providers: An Economical and SLA-Guaranteed Cloud Storage Service
Author :
Guoxin Liu ; Haiying Shen
Author_Institution :
Dept. of Electr. & Comput. Eng., Clemson Univ., Clemson, SC, USA
fYear :
2015
fDate :
June 29 2015-July 2 2015
Firstpage :
738
Lastpage :
739
Abstract :
It is critical for a cloud service broker to minimize its payment cost to cloud service providers for serving the broker´s customers while providing SLA-guaranteed services. In this paper, we propose an Economical and SLA-guaranteed cloud Storage Service (ES3), which finds a data allocation and resource reservation schedule with cost minimization. ES3 incorporates (1) a data allocation and reservation algorithm, which allocates each data item to a datacenter and determines the reservation amount on data centers by leveraging all the pricing policies, (2) a genetic algorithm based data allocation adjustment approach, which makes data Get/Put rates stable in each datacenter to maximize the reservation benefit. Our trace-driven experiments show the superior performance of ES3.
Keywords :
Web services; cloud computing; computer centres; contracts; genetic algorithms; pricing; resource allocation; storage management; ES3; Get-Put rates; SLA-guaranteed services; broker customer; cloud service broker; cost minimization; data allocation algorithm; data center; data reservation algorithm; economical and SLA-guaranteed cloud storage service; genetic algorithm based data allocation adjustment approach; multiple cloud service providers; resource reservation scheduling; Aggregates; Cloud computing; Minimization; Optimal scheduling; Pricing; Resource management; Schedules; Cloud storage; Data availability; Payment cost minimization; SLA;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Distributed Computing Systems (ICDCS), 2015 IEEE 35th International Conference on
Conference_Location :
Columbus, OH
ISSN :
1063-6927
Type :
conf
DOI :
10.1109/ICDCS.2015.85
Filename :
7164963
Link To Document :
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