Grid-hpa

Grid-hpa

Grid- History Based Prediction Architecture (Grid-HPA) is a distributed software tool for predicting resource requirements of a job(s) in Grid Computing. Grid-HPA uses similarity measurement based on centralized Historical data of jobs as a knowledge base for deployed Grid infrastructure. Using statistical analysis and similarity measurements, Grid-HPA can predict and provide minimum resource requirement alternatives as a decision support system for newly submitted jobs by clients. Clustering of historical jobs and dynamic updating of clusters improve the prediction accuracy of the tool in comparison to other relevant projects. This tool can be used as an assistant system for decision support in resource allocation and reservation with less knowledge about resource requirements of jobs in order to manage computing with less costs and in a short time with maximum efficiency which could result higher resource utilization of grid and cloud environments. The concept fits very well to the new issues of distributed systems such as cloud computing. Project members will announce soon the cloud adapted version.

Mahdi Bohlouli is the project leader of Grid-HPA. The idea of this project has been started from his master thesis in 2007. Mahdi published the concept details and implementation results firstly in International Journal of Computer Science after having successful and more accurate implementation results. Java has been used for implementation part and the project database is based on SQL-Server. Project database consists of to the history of former executed jobs and their execution details as well as used resources for their execution. The proposed algorithm of prediction can be used for every job in every environment. The measured accuracy of prediction in a centralized approach is better than a decentralized method. Both methods have some advantages and disadvantages.