Architectural Principles and Scheduling Strategies for Computing Agent Systems

• Autorzy: Grochowski M. , Schaefer R. , Smołka M.
• Języki publikacji: EN

Abstrakty

EN

The paper introduces the formal description of a computing multi-agent system (MAS), its architecture and dynamics. The optimal scheduling problem for the MAS as well as a way of its verification are presented in terms of such a model. A brief report of test results published previously in [13,3,4,8] is contained in the section 6.

Słowa kluczowe

EN

distributed computations; multi-agent systems; task scheduling

• Wydawca: IOS Press
• Czasopismo: Fundamenta Informaticae
• Rocznik: 2006
• Tom: Vol. 71, nr 1
• Strony: 15--26
• Opis fizyczny: bibliogr. 14 poz.

Twórcy

autor

Grochowski M.

autor

Schaefer R.

autor

Smołka M.

• Computer Science Department, AGH University of Science and technology Kraków, Poland,

Bibliografia

• [1] Felea, V., Olejnik, R., Toursel, B.: ADAJ: A Java Distributed Environment for Easy Programming Design and Efficient Execution, Schedae Informaticae, 13, 2004, 9-36.
• [2] The Globus Alliance, http://www.globus.org/: Open Grid Services Architecture.
• [3] Grochowski, M., Schaefer, R., Uhruski, P.: An Agent-Based Approach to a Hard Computing System - Smart Solid, Proceedings of the International Conference on Parallel Computing in Electrical Engineering (PARELEC 2002), IEEE Computer Society Press, Warsaw, Poland, 22-25 September 2002.
• [4] Grochowski, M., Schaefer, R., Uhruski, P.: Diffusion Based Scheduling in the Agent-Oriented Computing Systems, Lecture Notes in Computer Science, 3019, 2004, 97-104.
• [5] IBM, http://aglets.sourceforge.net/: IBM Aglets.
• [6] Kushner, H.: Introduction to Stochastic Control, Holt, Rinehart andWinston, 1971.
• [7] Luque, E., Ripoll, A., Cort´es, A., Margalef, T.: A Distributed Diffusion Method for Dynamic Load Balancing on Parallel Computers, Proceedings of EUROMICRO Workshop on Parallel and Distributed Processing, IEEE Computer Society Press, San Remo, Italy, January 1995.
• [8] Momot, J., Kosacki, K., Grochowski, M., Uhruski, P., Schaefer, R.: Multi-Agent System for Irregular Parallel Genetic Computations, Lecture Notes in Computer Science, 3038, 2004, 623-630.
• [9] Schaefer, R., Flasiński, M., Toporkiewicz, W.: Optimal Stochastic Scaling of CAE Parallel Computations, Lecture Notes in Computer Science, 1424, 1998, 557-564.
• [10] Smołka, M., Grochowski, M., Uhruski, P., Schaefer, R.: The Dynamics of Computing Agent Systems, Lecture Notes in Computer Science, 3516, 2005, 727-734.
• [11] Suri, N., Bradshaw, J. M., Breedy, M. R., Groth, P. T., Hill, G. A., Jeffers, R., Mitrovich, T. S.: An Overview of the NOMADS Mobile Agent System, Proceedings of the European Conference on Object-Oriented Programming (ECOOP'2000), Sophia Antipolis and Cannes, France, 2000.
• [12] Thain, D., Tannenbaum, T., Livny, M.: Condor and the Grid, in: Grid Computing: Making the Global Infrastructure a Reality (F. Berman, G. Fox, T. Hey, Eds.), Wiley, 2002.
• [13] Uhruski, P., Grochowski, M., Schaefer, R.: Multi-Agent Computing System in a Heterogeneous Network, Proceedings of the International Conference on Parallel Computing in Electrical Engineering (PARELEC 2002), IEEE Computer Society Press, Warsaw, Poland, 22-25 September 2002.
• [14] Wierzba, B., Semczuk, A., Kołodziej, J., Schaefer, R.: Hierarchical Genetic Strategy with Real Number Encoding, Proceedings of 6th Conference on Evolutionary Algorithms and Global Optimization,Wydawnictwa PolitechnikiWarszawskiej, Łagów Lubuski, Poland, 2003.