A Guarantee of Profit Maximization on Multi-Cloud Public Platform

An effective and efficient way to provide computing resources and services to clients on their demand, cloud computing is one the most popular field. From cloud service providers' perspective, profit is the most important consideration along with user-friendly quality services, and it is mainly determined by the configuration of a cloud service platform under given market demand. In any case, a single long-term renting utilized as a part of past modules can't ensure the service quality yet prompts major issue in storage and resource allocation.

In this paper we have apportioned the capacity for customer ask for, if the capacity is accessible at that point ask for is acknowledged by cloud and in the event that it is occupied or capacity is unavailable then we allocate storage by selecting minimum cost using hill climbing algorithm. This paper also presents a proposed model for cloud computing scheduling based on multiple server. Cloud services are efficiently and optimally allocated to satisfy the requirements of customer. The result shows that our scheme can not only guarantee the service quality of all requests, but also obtain more profit than the latter.

To enhance the quality services to the client, a tool is developed that will track the data usage and storage spaces of all the users and provide flexibility. At last, a progressions of calculations are conducted to look at the benefit of our proposed scheme with that of the single renting scheme.

by Anita D. Khadka | Shreya S. Inamdar | Payal S. Vaidya | Prof. Sonali Patil "A Guarantee of Profit Maximization on Multi-Cloud Public Platform"

Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-2 | Issue-3 , April 2018,

URL: http://www.ijtsrd.com/papers/ijtsrd12796.pdf

Direct Link - http://www.ijtsrd.com/computer-science/other/12796/a-guarantee-of-profit-maximization-on-multi-cloud-public-platform/anita-d-khadka

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