A Workflow-based Resource Broker Portal with Information Monitoring on Grid Computing Environments

• Main Authors: Cheng-Fang Lin, 林正芳
• Other Authors: Chao-Tung Yang
• Format: Others
• Language: zh-TW
• Published: 2006
• Online Access: http://ndltd.ncl.edu.tw/handle/56298767263917164925

碩士 === 東海大學 === 資訊工程與科學系 === 94 === The computational Grid is the beacon to scientists for solving large-scale problems over the Internet as a tremendous virtual computer. As Grid Computing becomes a reality, a resource broker is needed to manage and monitor available resources. This thesis presents a workflow-based computational resource broker whose main function is to match available resources with user requests and consider network information status during matchmaking. The resource broker provides a uniform interface for accessing available and the appropriate resources via user credentials. We utilize NWS tool to monitor the network-related information and resources status. In order to identify and schedule jobs that are suitable for determined resources, an execution time estimation model is required. In this thesis, it is described a Chronological history-based execution time estimation model to predict current execution time, according to the previous execution results. The experimental results shown that our model can accurately predict the execution time of embarrassingly parallel applications. Also, we constructed a grid platform using Globus Toolkit that integrates the distributed resources of five universities in Taichung, Taiwan, under TIGER project, where the resource broker is developed. As a result, the proposed broker provides secure and updated information about available resources and serves as a link to the diverse systems available in the Grid.