Grid Coordination with Marketmaker Agents
Commenced in January 2007
Frequency: Monthly
Edition: International
Paper Count: 32807
Grid Coordination with Marketmaker Agents

Authors: Xin Bai, Kresimir Sivoncik, Damla Turgut, Ladislau Bölöni

Abstract:

Market based models are frequently used in the resource allocation on the computational grid. However, as the size of the grid grows, it becomes difficult for the customer to negotiate directly with all the providers. Middle agents are introduced to mediate between the providers and customers and facilitate the resource allocation process. The most frequently deployed middle agents are the matchmakers and the brokers. The matchmaking agent finds possible candidate providers who can satisfy the requirements of the consumers, after which the customer directly negotiates with the candidates. The broker agents are mediating the negotiation with the providers in real time. In this paper we present a new type of middle agent, the marketmaker. Its operation is based on two parallel operations - through the investment process the marketmaker is acquiring resources and resource reservations in large quantities, while through the resale process it sells them to the customers. The operation of the marketmaker is based on the fact that through its global view of the grid it can perform a more efficient resource allocation than the one possible in one-to-one negotiations between the customers and providers. We present the operation and algorithms governing the operation of the marketmaker agent, contrasting it with the matchmaker and broker agents. Through a series of simulations in the task oriented domain we compare the operation of the three agents types. We find that the use of marketmaker agent leads to a better performance in the allocation of large tasks and a significant reduction of the messaging overhead.

Keywords: grid computing, autonomous agents, market-basedgrid

Digital Object Identifier (DOI): doi.org/10.5281/zenodo.1055531

Procedia APA BibTeX Chicago EndNote Harvard JSON MLA RIS XML ISO 690 PDF Downloads 1478

References:


[1] X. Bai, H. Yu, Y. Ji, and D. C. Marinescu. Resource matching and a matchmaking service for an intelligent grid. International Journal of Computational Intelligence, 1(3):197-205, 2004.
[2] R. J. Bayardo, Jr., W. Bohrer, R. Brice, A. Cichocki, J. Fowler, A. Helal, V. Kashyap, T. Ksiezyk, G. Martin, M. Nodine, M. Rashid, M. Rusinkiewicz, R. Shea, C. Unnikrishnan, A. Unruh, and D. Woelk. InfoSleuth: Agent-based semantic integration of information in open and dynamic environments. In Proceedings of the ACM SIGMOD International Conference on Management of Data, volume 26,2, pages 195-206, New York, 13-15 1997. ACM Press.
[3] L. Bölöni, R. Hao, K. Jun, and D. C. Marinescu. An object-oriented approach for semantic understanding of messages in a distributed object system. In Proceedings of the International Conference on Software Engineering Applied to Networking and Parallel/ Distributed Computing, Rheims, France, May 2000.
[4] L. Bölöni and D. C. Marinescu. An object-oriented framework for building collaborative network agents. In H. Teodorescu, D. Mlynek, A. Kandel, and H.-J. Zimmerman, editors, Intelligent Systems and Interfaces, International Series in Intelligent Technologies, chapter 3, pages 31-64. Kluwer Publising House, 2000.
[5] L. Bölöni and D. Turgut. YAES - a modular simulator for mobile networks. In Proceedings of the 8-th ACM/IEEE International Symposium on Modeling, Analysis and Simulation of Wireless and Mobile Systems MSWIM 2005, pages 169-173, October 2005.
[6] R. Buyya, D. Abramson, and J. Giddy. Economy driven resource management architecture for computational power grids. In Proceedings of the International Conference on Parallel and Distributed Processing Techniques and Applications (PDPTA2000), 2000.
[7] R. Buyya, D. Abramson, and J. Giddy. A case for economy grid architecture for service-oriented grid computing. In Proceedings of the 10th IEEE International Heterogeneous Computing Workshop (HCW 2001), page 83, April 2001.
[8] R. Buyya, J. Giddy, and D. Abramson. An evaluation of economybased resource trading and scheduling on computational power grids for parameter sweep applications. In Proceedings of the 2 nd International Workshop on Active Middleware Services (AMS 2000). Kluwer Academic Press, August 2000.
[9] M. Klusch and K. P. Sycara. Brokering and matchmaking for coordination of agent societies: A survey. In Coordination of Internet Agents: Models, Technologies, and Applications, pages 197-224. Springer, 2001.
[10] D. Kuokka and L. Harada. Matchmaking for information agents. In IJCAI (1), pages 672-678, 1995.
[11] L. W. McKnight and J. Boroumand. Pricing internet services: Approaches and challenges. IEEE Computer, 33(2):128-129, 2000.
[12] N. Nisan, S. London, O. Regev, and N. Camiel. Globally distributed computation over the internet - the POPCORN project. In ICDCS -98: Proceedings of the The 18th International Conference on Distributed Computing Systems, page 592, Washington, DC, USA, 1998. IEEE Computer Society.
[13] M. Paolucci, N. Srinivasan, K. P. Sycara, and T. Nishimura. Towards a semantic choreography of web services: From WSDL to DAML-S. In Proceedings of the First International Conference on Web Services (ICWS-03), pages 22-26, 2003.
[14] T. Payne, R. Singh, and K. Sycara. Facilitating message exchange through middle agents. In The First International Joint Conference on Autonomous Agents and Multi-Agent Systems, 2002.
[15] R. Raman, M. Livny, and M. H. Solomon. Matchmaking: Distributed resource management for high throughput computing. In Proceedings of the Seventh IEEE International Symposium on High Performance Distributed Computing, pages 140-146, 1998.
[16] N. Singh. A common Lisp API and facilitator for ABSI: version 2.0.3. Technical Report Logic-93-4, Logic Group, Computer Science Department, Stanford University, 1993.
[17] K. Sycara, J. Lu, and M. Klusch. Interoperability among heterogeneous software agents on the internet. Technical Report CMU-RI-TR-98-22, Carnegie Mellon University, PA (USA), 1998.
[18] K. P. Sycara, S. Widoff, M. Klusch, and J. Lu. Larks: Dynamic matchmaking among heterogeneous software agents in cyberspace. Autonomous Agents and Multi-Agent Systems, 5(2):173-203, 2002.
[19] C. A. Waldspurger, T. Hogg, B. A. Huberman, J. O. Kephart, and W. S. Stornetta. Spawn: A distributed computational economy. Software Engineering, 18(2):103-117, 1992.
[20] H. C. Wong and K. P. Sycara. A taxonomy of middle-agents for the internet. In ICMAS, pages 465-466, 2000.
[21] Mojo Nation. URL http://www.mojonation.net/.
[22] F. Zeuthen. Problems of Monopoly and Economic Warfare. Routledge and Sons, 1930.
[23] CONDOR. URL http://www.cs.wisc.edu/condor/.
[24] SETI@home. URL http://setiathome.ssl.berkeley.edu/.