International Journal of Computer
Trends and Technology

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Volume 4 | Issue 4 | Year 2013 | Article Id. IJCTT-V4I4P119 | DOI : https://doi.org/10.14445/22312803/IJCTT-V4I4P119

An Investigation on Estimating Demand Data and Semantic Resource Allocation

S.Ranjithkumar, Dr J.Selvakumar

Citation :

S.Ranjithkumar, Dr J.Selvakumar, "An Investigation on Estimating Demand Data and Semantic Resource Allocation," International Journal of Computer Trends and Technology (IJCTT), vol. 4, no. 4, pp. 531-535, 2013. Crossref, https://doi.org/10.14445/22312803/IJCTT-V4I4P119

Abstract

The objective of Software Engineering is to develop software product effectively. Software services are too complex and it has many capabilities, each corresponding to a business level concept. Customer requires a service that exploits only a fraction of the service’s capabilities. Each capability uses many different software functions that cause demands on distributed or multitier set of resources such as CPUs. The results of these predictions will help the schedulers to improve the allocation of resources to the different tasks. The technique is used to support system sizing and capacity planning exercises, costing and pricing exercises, and to predict the impact of changes to a service upon different service customers. In this paper, we present a framework which uses semantically enhanced historical data for predicting the behavior of tasks and resources in the system, and allocating the resources according to these predictions.

Keywords

Benchmarking, Linearity, Multicollinearity, Resource Demand Estimation, Statistical Regression.

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