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Optimal Multi Server Configuration for Profit Maximization in Cloud Computing
Author Name : G. Sandeep, K. Rubiya Alam
ABSTRACT
As an efficacious and efficient way to provide computing resources and accommodations to customers on demand, cloud computing has become more and more popular. From cloud accommodation providers’ perspective, profit is one of the most important considerations, and it is mainly determined by the configuration of a cloud accommodation platform under given market demand. However, a single long-term renting scheme is usually adopted to configure a cloud platform, which cannot guarantee the accommodation quality but leads to serious resource waste. A double resource renting scheme is designed firstly in which short-term renting and long-term renting are combined aiming at the existing issues. This double renting scheme can effectively guarantee the quality of service of all requests and reduce the resource waste greatly. Secondly, an accommodations system is considered as an M/M/m+D queuing model and the performance indicators that affect the profit of our double renting scheme are analyzed, e.g., the average charge, the ratio of requests that need temporary servers, and so forth. Thirdly, a profit maximization problem is formulated for the double renting scheme and the optimized configuration of a cloud platform is obtained by solving the profit maximization problem.
Finally, a series of calculations are conducted to compare the profit of our proposed scheme with that of the single renting scheme. The results show that our scheme can not only guarantee the accommodation quality of all requests, but also obtain more profit than the latter.