CUSTOMER-SATISFACTION-AWARE OPTIMALMULTISERVER CONFIGURATION FOR PROFIT MAXIMIZATIONIN CLOUD COMPUTING
ABSTRACT
Along with the development of cloud computing, an increasing number of enterprises start to adopt cloud service, whichpromotes the emergence of many cloud service providers. For cloud service providers, how to configure their cloud service platformsto obtain the maximum profit becomes increasingly the focus that they pay attention to. In this paper, we take customer satisfaction intoconsideration to address this problem. Customer satisfaction affects the profit of cloud service providers in two ways. On one hand, thecloud configuration affects the quality of service which is an important factor affecting customer satisfaction. On the other hand, thecustomer satisfaction affects the request arrival rate of a cloud service provider. However, few existing works take customer satisfactioninto consideration in solving profit maximization problem, or the existing works considering customer satisfaction do not give a properformalized definition for it. Hence, we firstly refer to the definition of customer satisfaction in economics and develop a formula formeasuring customer satisfaction in cloud computing. And then, an analysis is given in detail on how the customer satisfaction affectsthe profit. Lastly, taking into consideration customer satisfaction, service-level agreement, renting price, energy consumption and soforth, a profit maximization problem is formulated and solved to get the optimal configuration such that the profit is maximized
CONCLUSIONS
In this paper, we consider customer satisfaction in solvingoptimal configuration problem with profit maximization.Because the existing works do not give a proper definitionand calculation formula for customer satisfaction, hence,we first give a definition of customer satisfaction leveragedfrom economics and develop a formula for measuring customersatisfaction in cloud. Based on the affection of customersatisfaction on workload, we analyze the interactionbetween the market demand and the customer satisfaction,and give the calculation of the actual task arrival rate underdifferent configurations. In addition, we study an optimalconfiguration problem of profit maximization. The optimalsolutions are solved by a discrete hill climbing algorithm.Lastly, a series of calculations are conducted to analyze thechanging trend of profit. Moreover, a group of calculationsare conducted to compare the profit and optimal configurationof two situations with and without considering theaffection of customer satisfaction on customer demand. Theresults show that when considering customer satisfaction,our model performs better in overall.
EXISTING SYSTEM:
In this section, we firstly review the literatures concerningcustomer satisfaction, and then the profit maximizationproblem in cloud computing.To estimate the service demand of a service provider, itis critical to measure its customer satisfaction. In businessmanagement, there have been many specialists who focuson the researches of the definition of customer satisfaction. The concept of customer satisfactionis firstly proposed by Cardozo in 1965 and he believedthat high customer satisfaction produces purchase behavioragain. After that, many different definitions are proposedfor customer satisfaction. Howard and Sheth consideredcustomer satisfaction as the psychological states of a customerwhen evaluating the reasonability of pay and gain.Churchill and Surprenant considered customer satisfactionas the comparison results between the payment to buya product or service and the benefit using this product orservice. Tes and Wilton defined customer satisfaction asevaluation of the difference between prior expectation andcognitive performance. Parasuraman et al. believed thatcustomer satisfaction is a function of QoS and PoS. Althoughthese definitions are described differently, their ideas areconsistent with that of discrepancy theory, thatis, in any case, customer satisfaction is determined by thedifference between prior expectation and actual cognitiveafterwards.
PROPOSED SYSTEM:
The contributions of this paper are listed as follows:_ Based on the definition of customer satisfaction levelin economics, develop a calculation formula for measuringcustomer satisfaction in cloud;_ Analyze the interrelationship between customer satisfactionand profit, and build a profit optimizationmodel considering customer satisfaction;_ Develop a discrete hill climbing algorithm to find theoptimal cloud configuration such that the profit ismaximized.
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