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Customer-Satisfaction-Aware Optimal Multiserver Configuration for Profit Maximization in Cloud Computing - 2017

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

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

Research Area:  Cloud Computing

Abstract:

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 maximum profit 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.

Keywords:  
Cloud computing
customer satisfaction
multiserver system
profit maximization
PoS
QoS
service-level agreement

Author(s) Name:  Jing Mei; Kenli Li; Keqin Li

Journal name:  IEEE Transactions on Sustainable Computing

Conferrence name:  

Publisher name:  IEEE

DOI:  

Volume Information:  Volume: 2, Issue: 1, 01 Jan.-March 2017,Page(s): 17 - 29