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General Information
Editor-in-chief
Prof. Wael Badawy
Department of Computing and Information Systems Umm Al Qura University, Canada
I'm happy to take on the position of editor in chief of IJCTE. We encourage authors to submit papers concerning any branch of computer theory and engineering.
IJCTE 2014 Vol.6(2): 118-123 ISSN: 1793-8201
DOI: 10.7763/IJCTE.2014.V6.848

Predicting Utilization of Server Resources from Log Data

Mehul Nalin Vora
Abstract—In this paper, we propose a model to predict resource utilization matrix for a given workload by mining the information residing in application as well as system logs for resource utilization. Unlike regression based or queuing network based approaches, our mechanism neither requires estimating per-function resource utilization nor does it require to benchmark individual business transactions in order to derive resource utilization matrix for the desired workload. In our experimental analysis, we have tried to predict the utilization of server resources like cpu, memory, disk and network usage based on several workload pattern. Across all experiments, we find the average absolute error in predicting utilization of all resources was less than 6%. This model becomes particularly helpful in the scenario where there are only few data-points available for system running with light workload and it is essential to analyze the impact of any change in workload pattern demanding heavy resource usage. Our model is not only useful for resource provisioning and what-if analysis to assess the impact of any workload change but also can be used for bottleneck analysis and early alert generating engine.

Index Terms—Resource utilization, system demand, performance analytics, workload analysis.

Mehul Vora is with Innovation Labs, PERC, TATA Consultancy Services (TCS) Ltd., Mumbai, India (e-mail: mehul.vora@tcs.com).

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Cite:Mehul Nalin Vora, "Predicting Utilization of Server Resources from Log Data," International Journal of Computer Theory and Engineering vol. 6, no. 2, pp. 118-123, 2014.

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