Resource Management Services for a Grid Analysis Environment
Arshad Ali, Ashiq Anjum, Tahir Azim, Julian Bunn, Atif Mehmood,, Richard McClatchey, Harvey Newman, Waqas ur Rehman, Conrad Steenberg, Michael, Thomas, Frank van Lingen, Ian Willers, Muhammad Adeel Zafar

TL;DR
This paper introduces interactive resource management services within a Grid Analysis Environment, enhancing user control and system responsiveness for physics data analysis on computational Grids.
Contribution
It develops and evaluates a set of Web Services-based tools that improve user interaction and decision-making in Grid resource management.
Findings
Services enable more user control over resource selection
Performance analysis shows improved system interactivity
System supports physics analysis workflows effectively
Abstract
Selecting optimal resources for submitting jobs on a computational Grid or accessing data from a data grid is one of the most important tasks of any Grid middleware. Most modern Grid software today satisfies this responsibility and gives a best-effort performance to solve this problem. Almost all decisions regarding scheduling and data access are made by the software automatically, giving users little or no control over the entire process. To solve this problem, a more interactive set of services and middleware is desired that provides users more information about Grid weather, and gives them more control over the decision making process. This paper presents a set of services that have been developed to provide more interactive resource management capabilities within the Grid Analysis Environment (GAE) being developed collaboratively by Caltech, NUST and several other institutes. These…
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Taxonomy
TopicsDistributed and Parallel Computing Systems · Parallel Computing and Optimization Techniques · Scientific Computing and Data Management
