A resource management framework for interactive Grids
Traditional use of Grid computing systems has been for batch jobs in the scientific and academic computing. We envision the next generation Grid computing systems to support graphical interactive sessions. In this paper, we propose a resource management framework for supporting graphical interactive...
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| Published in | Concurrency and computation Vol. 16; no. 5; pp. 489 - 501 |
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| Main Authors | , , |
| Format | Journal Article |
| Language | English |
| Published |
Chichester, UK
John Wiley & Sons, Ltd
25.04.2004
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| Subjects | |
| Online Access | Get full text |
| ISSN | 1532-0626 1532-0634 |
| DOI | 10.1002/cpe.828 |
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| Abstract | Traditional use of Grid computing systems has been for batch jobs in the scientific and academic computing. We envision the next generation Grid computing systems to support graphical interactive sessions. In this paper, we propose a resource management framework for supporting graphical interactive sessions in a Grid computing system. We describe the high‐level architectural resource management framework distributed among the submission node, central scheduler node, and the execution node. We then describe in detail the resource management framework on the execution node. The description of the resource management framework on the scheduler node is kept at a high level in this paper. The framework on execution nodes consists of Resource Management Agents, an Admission Control system and Application Predictor system. The agents on the execution node are Startup Agents, Sensor Agents, Monitoring Agents, Aggregator Agents, Enforcement Agents and Registration Agents. The Session Admission Control system is responsible for determining if a new application session can be admitted to the execution node. An Application Predictor system is responsible for predicting the resource utilization behavior of applications based on data obtained from the Resource Management Agents. The proposed framework allows for implementation of a scalable and extensible middleware for interactive Grid resource management. It supports fine‐grained performance guarantees specified in service level agreements and brings forth some important and novel contributions to enable graphical interactive sessions on Grids. Copyright © 2004 John Wiley & Sons, Ltd. |
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| AbstractList | Traditional use of Grid computing systems has been for batch jobs in the scientific and academic computing. We envision the next generation Grid computing systems to support graphical interactive sessions. In this paper, we propose a resource management framework for supporting graphical interactive sessions in a Grid computing system. We describe the high-level architectural resource management framework distributed among the submission node, central scheduler node, and the execution node. We then describe in detail the resource management framework on the execution node. The description of the resource management framework on the scheduler node is kept at a high level in this paper. The framework on execution nodes consists of Resource Management Agents, an Admission Control system and Application Predictor system. The agents on the execution node are Startup Agents, Sensor Agents, Monitoring Agents, Aggregator Agents, Enforcement Agents and Registration Agents. The Session Admission Control system is responsible for determining if a new application session can be admitted to the execution node. An Application Predictor system is responsible for predicting the resource utilization behavior of applications based on data obtained from the Resource Management Agents. The proposed framework allows for implementation of a scalable and extensible middleware for interactive Grid resource management. It supports fine-grained performance guarantees specified in service level agreements and brings forth some important and novel contributions to enable graphical interactive sessions on Grids. Traditional use of Grid computing systems has been for batch jobs in the scientific and academic computing. We envision the next generation Grid computing systems to support graphical interactive sessions. In this paper, we propose a resource management framework for supporting graphical interactive sessions in a Grid computing system. We describe the high‐level architectural resource management framework distributed among the submission node, central scheduler node, and the execution node. We then describe in detail the resource management framework on the execution node. The description of the resource management framework on the scheduler node is kept at a high level in this paper. The framework on execution nodes consists of Resource Management Agents, an Admission Control system and Application Predictor system. The agents on the execution node are Startup Agents, Sensor Agents, Monitoring Agents, Aggregator Agents, Enforcement Agents and Registration Agents. The Session Admission Control system is responsible for determining if a new application session can be admitted to the execution node. An Application Predictor system is responsible for predicting the resource utilization behavior of applications based on data obtained from the Resource Management Agents. The proposed framework allows for implementation of a scalable and extensible middleware for interactive Grid resource management. It supports fine‐grained performance guarantees specified in service level agreements and brings forth some important and novel contributions to enable graphical interactive sessions on Grids. Copyright © 2004 John Wiley & Sons, Ltd. |
| Author | Kumar, Raj Talwar, Vanish Basu, Sujoy |
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| References | Foster I, Kesselman C, Tuecke S. The anatomy of the Grid: Enabling scalable virtual organizations. International Journal of SuperComputing Applications 2001; 15(3):200-222. Richardson T, Stafford-Fraser Q, Wood KR, Hopper A. Virtual network computing. IEEE Internet Computing 1998; 2(1):33-38. Wolksi R, Spring NT, Hayes J. The Network Weather Service: A distributed performance forecasting service for metacomputing. Journal of Future Generation Computing Systems 1999; 15(5/6):757-768. 2001; 15 1998; 2 2004 2003 1999; 1 2002 2001 2000 1999; 15 Talwar V (e_1_2_1_4_2) 2003 Basu S (e_1_2_1_5_2) 2003 Kon F (e_1_2_1_10_2) 2001 Waheed A (e_1_2_1_16_2) 2000 Wolksi R (e_1_2_1_17_2) 1999; 15 Mundur P (e_1_2_1_7_2) 1999 Tierney B (e_1_2_1_15_2) 2000 e_1_2_1_6_2 (e_1_2_1_13_2) 2001 e_1_2_1_2_2 e_1_2_1_11_2 e_1_2_1_3_2 e_1_2_1_12_2 e_1_2_1_14_2 Pearlman L (e_1_2_1_8_2) 2002 e_1_2_1_9_2 |
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| SubjectTerms | agents Grid computing interactive sessions resource management |
| Title | A resource management framework for interactive Grids |
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