期刊名称:International Journal of Computer Trends and Technology
电子版ISSN:2231-2803
出版年度:2013
卷号:4
期号:4-1
出版社:Seventh Sense Research Group
摘要: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.