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Resource Management Services for a Grid Analysis Environment

Ali, Arshad and Anjum, Ashiq and Azim, Tahir and Bunn, Julian and Mehmood, Atif and McClatchey, Richard and Newman, Harvey and ur Rehman, Waqas and Steenberg, Conrad and Thomas, Michael and van Lingen, Frank and Willers, Ian and Zafar, Muhammad Adeel (2005) Resource Management Services for a Grid Analysis Environment. In: International Conference on Parallel Processing Workshops, June, 2005, Oslo, Norway.

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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 reponsibility 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 resoure management capabilities within the Grid Analysis Environment (GAE) being developed collaboratively by Caltech, NUST, and several other institutes. These include a steering service, a job monitoring service and an estimator service that have been designed and written using a common grid-enabled web services framework named Clarens. The paper also presents a performance analysis of the developed services to show that they have indeed resulted in a more interactive and powerful system fo user-centric grid enabled physics analysis.

Item Type:Conference or Workshop Item (Paper)
Bunn, Julian0000-0002-3798-298X
Newman, Harvey0000-0003-0964-1480
Additional Information:This work is partly supported by the Department of Energy as part of the Particle Physics DataGrid project and by the National Science Foundation. Any opinions, findings, conclusions or recommendations expressed in this material are those of the authors and do not necessarily reflect the views of the Department of Energy or the National Science Foundation.
Group:Center for Advanced Computing Research
Record Number:CaltechCACR:2005.111
Persistent URL:
Usage Policy:You are granted permission for individual, educational, research and non-commercial reproduction, distribution, display and performance of this work in any format.
ID Code:28221
Deposited By: Imported from CaltechCACR
Deposited On:13 Feb 2006
Last Modified:20 Jan 2023 00:47

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