Customer-Satisfaction-Aware Optimal Multiserver Configuration for Profit Maximization in Cloud Computing

被引:52
|
作者
Mei, Jing [1 ,2 ]
Li, Kenli [3 ,4 ]
Li, Keqin [3 ,4 ,5 ]
机构
[1] Hunan Normal Univ, Minist Educ China, Key Lab High Performance Comp & Stochast Informat, Changsha 410081, Hunan, Peoples R China
[2] Hunan Normal Univ, Coll Math & Comp Sci, Changsha 410081, Hunan, Peoples R China
[3] Hunan Univ, Coll Informat Sci & Engn, Changsha 410082, Hunan, Peoples R China
[4] Natl Supercomp Ctr Changsha, Changsha 410082, Hunan, Peoples R China
[5] SUNY Coll New Paltz, Dept Comp Sci, New Paltz, NY 12561 USA
来源
基金
对外科技合作项目(国际科技项目); 中国国家自然科学基金;
关键词
Cloud computing; customer satisfaction; multiserver system; profit maximization; PoS; QoS; service-level agreement;
D O I
10.1109/TSUSC.2017.2667706
中图分类号
TP3 [计算技术、计算机技术];
学科分类号
0812 ;
摘要
Along with the development of cloud computing, an increasing number of enterprises start to adopt cloud service, which promotes the emergence of many cloud service providers. For cloud service providers, how to configure their cloud service platforms to obtain the maximumprofit becomes increasingly the focus that they pay attention to. In this paper, we take customer satisfaction into consideration to address this problem. Customer satisfaction affects the profit of cloud service providers in two ways. On one hand, the cloud configuration affects the quality of service which is an important factor affecting customer satisfaction. On the other hand, the customer satisfaction affects the request arrival rate of a cloud service provider. However, few existing works take customer satisfaction into consideration in solving profit maximization problem, or the existing works considering customer satisfaction do not give a proper formalized definition for it. Hence, we first refer to the definition of customer satisfaction in economics and develop a formula for measuring customer satisfaction in cloud computing. And then, an analysis is given in detail on how the customer satisfaction affects the profit. Lastly, taking into consideration customer satisfaction, service-level agreement, renting price, energy consumption, and so forth, a profit maximization problem is formulated and solved to get the optimal configuration such that the profit is maximized.
引用
收藏
页码:17 / 29
页数:13
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