Manuscript Number : CSEIT1833408
Multiple Cloud Service Providers with an efficient and SLO Guaranteed cloud storage
Authors(1) :-D. G. Prasad Due to the increase of the advantages of the cloud computing many enterprisers started adopting the cloud servers. There are so many cloud service providers in the cloud system. The enterprisers will choose the cloud platform based on their satisafaction.the satisfaction of the customer mainly depends on the two things firstly cloud configuration affects the quality of service which is an important factor affecting customer satisfaction. Secondly customer satisfaction affects the request arrival rate of a cloud service provider. it is necessary the clouds service brokers should provide multi cloud storage service to reduce their cost payments to the cloud servers. . In this paper, we propose a multi-cloud Economical and SLO-guaranteed Storage Service (ES3), which determines data allocation and resource reservation schedules with payment cost minimization and SLO guarantee. ES3 incorporates (1) a coordinated data allocation and resource reservation method, which allocates each data item to a datacenter and determines the resource reservation amount on datacenters by calculating all the pricing policies; (2) a genetic algorithm based data allocation adjustment method, to maximize the data reservation benefit in all data centers.. We also propose several algorithms to enhance the cost efficient and SLO guarantee performance of ES3 including i) dynamic request redirection, ii) grouped Gets for cost reduction, iii) lazy update for cost-efficient Puts, and iv) concurrent requests for rigid Get SLO guarantee.
D. G. Prasad Cloud Storage, SLO, Payment Cost Publication Details Published in : Volume 3 | Issue 4 | March-April 2018 Article Preview
MCA Sri Padmathi College of Computer Sciences And Technology Tiruchanoor, Andhra Pradesh, India
Date of Publication : 2018-04-30
License: This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 426-431
Manuscript Number : CSEIT1833408
Publisher : Technoscience Academy
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