Towards an agent-based grid platform 1st episode: the meta-grid

ABSTRACT

With the increasing focus on grid development there is a need for proper abstraction for modelling grids. In this paper a platform for agent-based grid framework is presented. This platform takes the form of a meta-grid that consists of an abstract grid representing "ideal" kinds of grids. This layer is developed to deal with problems raised by the differences between grids, and by other technical details specific to each one by hiding them and specifying an uniform model. The creation of such platform will dispense the programmer of applications of caring about problems specific to the environment and let him concentrate only on the development of the applications themselves. Therefore, this structure will help us to conceptualize and abstract the environments of grids. The multiagent system that we want to create will interact with this meta-grid to solve the real world problems without caring about specificities proper to each physical grid.

REFERENCES

• 1: Md. H. Kabir, E. G. Manning, and G. C. Shoja, Request-Routing Trends and Techniques in Content Distribution Network", Proceedings of ICCIT 02, Dhaka, Bangladesh, December 2002.
• 2: Ian Foster , Carl Kesselman , Steven Tuecke, The Anatomy of the Grid: Enabling Scalable Virtual Organizations, International Journal of High Performance Computing Applications, v.15 n.3, p.200-222, August 2001 [doi>10.1177/109434200101500302]
• 3: I. Foster and C. Kesselman, "Globus: A metacomputing infrastructure toolkit", Int. J. Supercomput Appl. 11 (2) (1997) 115--128.
• 4: Andrew S. Grimshaw , Wm. A. Wulf , CORPORATE The Legion Team, The Legion vision of a worldwide virtual computer, Communications of the ACM, v.40 n.1, p.39-45, Jan. 1997 [doi>10.1145/242857.242867]
• 5: Nicholas R. Jennings, An agent-based approach for building complex software systems, Communications of the ACM, v.44 n.4, p.35-41, April 2001 [doi>10.1145/367211.367250]
• 6: I. Chao, R. Sangesa and O. Oardaiz, "Grid Resource Management using Software Agents", ERCIM News No. 59, October 2004.
• 7: Ian Foster , Nicholas R. Jennings , Carl Kesselman, Brain Meets Brawn: Why Grid and Agents Need Each Other, Proceedings of the Third International Joint Conference on Autonomous Agents and Multiagent Systems, p.8-15, July 19-23, 2004, New York, New York [doi>10.1109/AAMAS.2004.78]
• 8: F. Manola and C. Thompson, "Characterizing the Agent Grid", Technical Report, Object Services and Consulting, June 1999. Available from: http://www.objs.com/agility/tech-reports/990623-characterizing-the-agent-grid.html.
• 9: Junwei Cao , Darren J. Kerbyson , Graham R. Nudd, Performance Evaluation of an Agent-Based Resource Management Infrastructure for Grid Computing, Proceedings of the 1st International Symposium on Cluster Computing and the Grid, p.311, May 15-18, 2001
• 10: P. Gradwell, "Grid Scheduling with Agents", Available via http://peter.gradwell.com/phd/writings/computing-economy-review.pdf.
• 11: Junwei Cao , Daniel P. Spooner , Stephen A. Jarvis , Graham R. Nudd, Grid load balancing using intelligent agents, Future Generation Computer Systems, v.21 n.1, p.135-149, 1 January 2005 [doi>10.1016/j.future.2004.09.032]
• 12: A. Forestiero, C. Mastroianni and G. Spezzano, "Agent-Based Logical Organization of Resource in Grids". Proc. of the Workshop on the Use of P2P, GRID and Agents for the Development of Content Distribution Networks (UPGRADE-CDN 2006), Paris, France, June 2006
• 13: Junwei Cao , Stephen A. Jarvis , Subhash Saini , Darren J. Kerbyson , Graham R. Nudd, ARMS: An agent-based resource management system for grid computing, Scientific Programming, v.10 n.2, p.135-148, April 2002
• 14: J. Shao and al., "Supporting Formation and Operation of Virtual Organisations in a Grid Environment", Proceedings of UK e-Science All Hands Meeting 2004, 2004. ISBN 1-904425-21-6.
• 15: F. Duvert and al., "Agent-Grid Integration Ontology", OTM Workshops 2006, LNCS 4277, pp. 136--146, 2006.
• 16: Z. Shi ad al., "agent-based grid computing", Applied Mathematical Modelling 30 (2006) 629--640, Elsevier.
• 17: Ian Foster , Carl Kesselman , Steven Tuecke, The Anatomy of the Grid: Enabling Scalable Virtual Organizations, International Journal of High Performance Computing Applications, v.15 n.3, p.200-222, August 2001 [doi>10.1177/109434200101500302]
• 18: Z. Nemeth and V. Sunderam, "Characterizing Grids: Attributes, Definitions, and Formalisms", Journal of Grid Computing, 2003. Available from: citeseer.ist.psu.edu/nemeth03characterizing.html.
• 19: P. Asadzadeh and al., "Global Grids and Software Toolkits: A Study of Four Grid Middleware Technologies", 2004. Available from: citeseer.ist.psu.edu/735630.html.
• 20: R. Buyya and S. Venugopal, "The Gridbus Toolkit for Service Oriented Grid and Utility Computing: An Overview and Status Report", Proceedings of the First IEEE International Workshop on Grid Economics and Business Models (GECON 2004, April 23, 2004, Seoul, Korea), 19--36pp, ISBN 0-7803-8525-X, IEEE Press, New Jersey, USA.

INDEX TERMS

Primary Classification:
  C. Computer Systems Organization
  C.2 COMPUTER-COMMUNICATION NETWORKS
      C.2.4 Distributed Systems
          Subjects: Distributed applications

Additional Classification:
  I. Computing Methodologies
  I.2 ARTIFICIAL INTELLIGENCE
        I.2.11 Distributed Artificial Intelligence
      I.2.4 Knowledge Representation Formalisms and Methods
          Subjects: Representations (procedural and rule-based); Relation systems

General Terms:
Design, Management

Keywords:
content distribution network, grid based on agents, grid computing, grid modeling, intelligent agents, multi-agent systems