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Profit Maximization on the Premise of saving Costs for Users in Cloud Computing

Borra Sushma Rekha1 , K. Mohan Krishna2

Section:Review Paper, Product Type: Journal Paper
Volume-7 , Issue-5 , Page no. 1121-1126, May-2019

CrossRef-DOI:   https://doi.org/10.26438/ijcse/v7i5.11211126

Online published on May 31, 2019

Copyright © Borra Sushma Rekha, K. Mohan Krishna . This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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IEEE Style Citation: Borra Sushma Rekha, K. Mohan Krishna, “Profit Maximization on the Premise of saving Costs for Users in Cloud Computing,” International Journal of Computer Sciences and Engineering, Vol.7, Issue.5, pp.1121-1126, 2019.

MLA Style Citation: Borra Sushma Rekha, K. Mohan Krishna "Profit Maximization on the Premise of saving Costs for Users in Cloud Computing." International Journal of Computer Sciences and Engineering 7.5 (2019): 1121-1126.

APA Style Citation: Borra Sushma Rekha, K. Mohan Krishna, (2019). Profit Maximization on the Premise of saving Costs for Users in Cloud Computing. International Journal of Computer Sciences and Engineering, 7(5), 1121-1126.

BibTex Style Citation:
@article{Rekha_2019,
author = {Borra Sushma Rekha, K. Mohan Krishna},
title = {Profit Maximization on the Premise of saving Costs for Users in Cloud Computing},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {5 2019},
volume = {7},
Issue = {5},
month = {5},
year = {2019},
issn = {2347-2693},
pages = {1121-1126},
url = {https://www.ijcseonline.org/full_paper_view.php?paper_id=4372},
doi = {https://doi.org/10.26438/ijcse/v7i5.11211126}
publisher = {IJCSE, Indore, INDIA},
}

RIS Style Citation:
TY - JOUR
DO = {https://doi.org/10.26438/ijcse/v7i5.11211126}
UR - https://www.ijcseonline.org/full_paper_view.php?paper_id=4372
TI - Profit Maximization on the Premise of saving Costs for Users in Cloud Computing
T2 - International Journal of Computer Sciences and Engineering
AU - Borra Sushma Rekha, K. Mohan Krishna
PY - 2019
DA - 2019/05/31
PB - IJCSE, Indore, INDIA
SP - 1121-1126
IS - 5
VL - 7
SN - 2347-2693
ER -

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Abstract

The cloud is a forefront arrange that gives dynamic resource pools, virtualization, and high openness. Today, it can utilize versatile, passed on handling conditions inside the limits of the Web, a preparation known as circulated registering. Circulated processing is the thought realized to interpret the step by step enrolling issues, inclinations of hardware programming and resource availability unhurried by PC customers. The circulated figuring gives an undemanding and non-unable response for step by step enlisting. Winning cloud systems in a general sense revolve around finding an amazing response for the advantage the executives. In disseminated processing, the examination of money related parts of the cloud is in a general sense basic. The enhancement of advantage is done in this. For enhancing the advantage initially ought to appreciate the cost and pay. Advantage intensification must consider the customer satisfaction moreover the cost of the cloud fuses the renting cost and power use cost. For enlarging, must reduce the cost. For this it will plan the server perfectly. For structuring the server, figure the normal holding up time and organization charge is resolved. Using the propelling methodology, will streamline the speed and the size so get most noteworthy advantage.

Key-Words / Index Term

Cloud computing, Pricing model, load balancing

References

[1] Gemma Reig, Javier Alonso, and Jordi Guitart “Prediction Of Job Resource Requirements For Deadline Schedulers to Manage High-Level SLAs On The Cloud”, 2010 NinthIEEE International Symposium on Network Computing andApplications.
[2] Mayank Mishra, Anwesha Das, Purushottam Kulkarni, and AnirudhaSahoo, IIT Bombay”Dynamic ResourceManagement Using Virtual Machine Migrations,” International journal in cloud computing.
[3] M. Armbrustet al., “A View of Cloud Computing,” Common. ACM, vol. 53, no. 4, 2010, pp. 50–58.
[4] JunweiCao, Kai Hwang, Keqin Lin, Albert Y.Zamaya ”Optimal Multiserver Configuration for profitMaximization in cloud computing ,” ieee transactions on parallel and distributed systems, vol. 24, no. 6, June 2013
[5] Pankesh Patel, AjithRanabahuAmitSheth, “ServiceLevel Agreement in Cloud Computing,” Knoesis Center, Wright State University, USA.
[6] Saurabh Kumar Garg, Rajkumar Buyya1 and H. J. Siegel” Scheduling Parallel Application OnUtility Grids: Time And Cost Trade-off management”Management” The University of MelbouneVictoria 3010, Australia.
[7] Qian Zhu, Student Member, IEEE, and GaganAgrawal, Senior Member, IEEE, “Resource Provisioning with BudgetConstraints for Adaptive Applications in CloudEnvironments,” ieee transactions on services computing, vol. 5, no. 4, october-december 2012.