Decentralized vs. Centralized Economic Coordination of Resource Allocation in Grids

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 2970, Issue , 2004, Pages 9-16

  Eymann, T ^a   Reinicke, M ^a   Ardaiz, O ^b   Artigas, P ^b   Diaz De Cerio L ^b   Freitag, F ^b   Messeguer, R ^b   Navarro, L ^b   Royo, D ^b   Sanjeevan, K ^b  

^a UNIVERSITY OF FREIBURG   (Germany)

^b UNIVERSITAT POLITÈCNICA DE CATALUNYA   (Spain)

Author keywords

[No Author keywords available]

Indexed keywords

APPLICATION PROGRAMS; DISTRIBUTED COMPUTER SYSTEMS; ECONOMICS; NETWORK LAYERS; RESOURCE ALLOCATION; SOFTWARE AGENTS;

APPLICATION LAYER NETWORK; DECENTRALIZED COORDINATION; ECONOMIC MODELING; MESSAGE FLOWS; NETWORK SERVICES; NETWORK SIMULATION; PEER-TO-PEER COMPUTING; RESOURCE ALLOCATION IN GRIDS;

PEER TO PEER NETWORKS;

EID: 35048876861     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-24689-3_2     Document Type: Article

References (14)

1. Adar, E., Huberman B.A.: Free Riding on Gnutella. First Monday, 5, 10, 2000. http://www.firstmonday.dk/issues/issue5_10.
2. Ardaiz, O., Freitag, F., Navarro, L.: Multicast Injection for Application Network Deployment. 26nd IEEE Conference on Local Computer Networks.Tampa, Fla., 2001.
3. Breslau, L., Estrin, D., Fall, K., Floyd, S., Heidemann, J., Helmy, A., Huang, P., McCanne, S., Varadhan, K., Xu, Y., Yu H.: Advances in Network Simulation. IEEE Computer, 33, 5, 59-67, 2002. http://ceng.usc.edu/~helmy/vint- computer-mag-article.pdf.
4. Buyya, R., Abramson D., Giddy J.: A Case for Economy Grid Architecture for Service-Oriented Grid Computing. 10th IEEE International Heterogeneous Computing Workshop (HCW), 2001.
5. Clearwater, S.H.: Market-based control a paradigm for distributed resource allocation. World Scientific, Singapore, 1996.
6. Eymann, T.: Co-Evolution of Bargaining Strategies in a Decentralized Multi-Agent System. AAAI Fall 2001 Symposium on Negotiation Methods for Autonomous Cooperative Systems, 2001.
7. Eymann, T., Padovan, B.: The Catallaxy as a new Paradigm for the Design of Information Systems. Proceedings of The World Computer Congress of the International Federation for Information Processing, 2000.
8. JavaSim Project: JavaSim. Ohio State University, EEng Dept. http://www.javasim.org.
9. NS/NAM Project: NAM Network Animator. USC Information Sciences Institute, 2002. http://www.isi.edu/nsnam/nam/index.html
10. Rosenschein, J.S., Zlotkin, G.: Rules of encounter - designing conventions for automated negotiation among computers. MIT Press, Cambridge, 1994.
11. Sandholm, T.W.: Negotiation Among Self-Interested Computationally Limited Agents. University of Massachusetts, Amherst, 1996.
12. Smith, R.G.: The Contract Net Protocol: High-Level Communication and Control in a Distributed Problem Solver. IEEE Trans. on Computers, 29, 1104-1113, 1980.
13. Tesfatsion, L.: How economists can get alife. Arthur, W.B., Durlauf, S., and Lane, D.A. (eds.). The Economy as a Evolving Complex System II, 533-564. Addison Wesley, Redwood City, CA, 1997.
14. Varian, H.R.: Intermediate Microeconomics. W.W. Norton, New York, 1999.