Title: Predictive data centre selection scheme for response time optimisation in cloud computing

Authors: Deepak Kapgate

Addresses: Department of CSE, AGPCE, Nagpur University, Nagpur, India

Abstract: The quality of cloud computing services is evaluated based on various performance metrics out of which response time is most important. Nearly all cloud users demand its application's response time as minimum as possible, so to minimise overall system response time we have proposed request response time prediction based data centre (DC) selection algorithm in this work. Proposed DC selection algorithm uses results of optimisation function for DC selection formulated based on M/M/m queuing theory, as present cloud scenario roughly obeys M/M/m queuing model. In cloud environment DC selection algorithms assessed based on their performance in practice, rather than how they are supposed to be used. Hence explained DC selection algorithm with various forecasting models is evaluated for minimum user application response time and response time prediction accuracy on various job arrival rates, real parallel workload types and forecasting model training set length. Finally, performance of proposed DC selection algorithm with optimal forecasting model is compared with other DC selection algorithms on various cloud configurations, considering generic cloud environment.

Keywords: cloud computing; response time; time series prediction; M/M/m queuing theory; data centre; DC; selection algorithm.

DOI: 10.1504/IJCC.2023.134645

International Journal of Cloud Computing, 2023 Vol.12 No.6, pp.556 - 574

Received: 21 Mar 2020
Accepted: 07 Aug 2020
Published online: 03 Nov 2023 *

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