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Performance indicator evaluation for a cloud computing system from QoS viewpoint

Performance indicator evaluation for a cloud computing system from QoS viewpoint With the development of information technology, the cloud computing system (CCS) has become a new paradigm for the business and clients. The system supervisor has to guarantee the CCS keeps a good quality of service (QoS) to satisfy the clients’ requirements. The maintenance action is thus necessary when the CCS falls to a specific state such that it cannot afford enough capacity to meet demand d. In order to measure the service level of a CCS, this paper constructs a network model and proposes a key performance indicator (KPI), where the KPI is utilized to evaluate the probability that the demand can be satisfied under both transmission time and maintenance budget constraints. A method to derive the interval estimation for the KPI is developed. The system supervisor can conduct the sensitive analysis to improve/investigate the most important part in a large CCS afterwards. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Quality & Quantity Springer Journals

Performance indicator evaluation for a cloud computing system from QoS viewpoint

Lin, Yi-Kuei; Chang, Ping-Chen
Quality & Quantity , Volume 47 (3) – Oct 4, 2011
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References (30)

Publisher
Springer Journals
Copyright
Copyright © 2011 by Springer Science+Business Media B.V.
Subject
Social Sciences, general; Methodology of the Social Sciences; Social Sciences, general
ISSN
0033-5177
eISSN
1573-7845
DOI
10.1007/s11135-011-9613-z
Publisher site
See Article on Publisher Site

Abstract

With the development of information technology, the cloud computing system (CCS) has become a new paradigm for the business and clients. The system supervisor has to guarantee the CCS keeps a good quality of service (QoS) to satisfy the clients’ requirements. The maintenance action is thus necessary when the CCS falls to a specific state such that it cannot afford enough capacity to meet demand d. In order to measure the service level of a CCS, this paper constructs a network model and proposes a key performance indicator (KPI), where the KPI is utilized to evaluate the probability that the demand can be satisfied under both transmission time and maintenance budget constraints. A method to derive the interval estimation for the KPI is developed. The system supervisor can conduct the sensitive analysis to improve/investigate the most important part in a large CCS afterwards.

Journal

Quality & Quantity – Springer Journals

Published: Oct 4, 2011

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