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Evaluation of Quality of Service Parameters for Mobile Cloud Service Using Principal Component Analysis
, Aramudhan Murugaiyan,
Published in Springer Singapore
2019
Volume: 863
   
Pages: 461 - 469
Abstract
The cloud service is communicating between mobile devices through the Internet. They are prepended as platform independent and loosely conjoined. This paper’s objective is to obtain effective services with composition of services based on specific QoS parameters using principal component factor analysis method. The Factor analysis, analyzing the interrelationships among variables by characterizing highly correlated known as factors. In factor analysis, particularly statistical principal component analysis is used to consider the interrelationships among variables with a minimal loss of information. This analysis is made from the data collected from the cloud service providers. This result is based on components of cloud service availability, response time, throughput, reliability, successability, compliance, best practices, and web services resource framework. These are few parameters considered among the QoS parameters to find the best mobile cloud services. In this factor analysis based on principal component analysis considers these eight parameters which can be further improved to select the cloud services of QoS. © Springer Nature Singapore Pte Ltd. 2019.
About the journal
JournalData powered by TypesetAdvances in Intelligent Systems and Computing Information Systems Design and Intelligent Applications
PublisherData powered by TypesetSpringer Singapore
ISSN2194-5357
Open Access0