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Agent System for Load Monitoring of the Heterogeneous Computer Network

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Parallel Processing and Applied Mathematics (PPAM 2001)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 2328))

Abstract

The paper presents the agent system [4] for monitoring the state of background load of machines in the heterogeneous computer network. We assume, that the background load of the machine is the load derived from executing users applications. This additional load has great influence on the execution time of the distributed application. The agent system is defined basing on the Social Power theory [5] and is implemented using Java language and CORBA communication services.

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References

  1. P. Uhruski, Z. Onderka The Object Oriented Platform for the Process Migration in the Heterogeneous Networks, Submitted to the PPAM’2001, Sept. 2001, Naleczow, Poland

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  2. Z. Onderka Stochastic Control of the Distributed Scalable Applications. Application in the CAE Technology, Doctoral Thesis, Techn. Univ., Dept. of Comp. Sc., Krakow, 1997

    Google Scholar 

  3. Z. Onderka, Stochastic Control of the Scalable High Performance Distributed Computations, Proc. of the 3rd Intern. Meeting VECPAR’98, Porto, Portugal

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  4. Y. Shoham Agent-oriented programming, Robotics Laboratory, Comp. Sc. Dept., Stanford University, Stanford, CA 94305, USA Artificial Intelligence 60 (1993) 51–92, Elsevier

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  5. K. Cetnarowicz, M. Kisiel-Dorohnicki, E. Nawarecki The Evolution Process in Multi-Agent World (MAW) with the Aggregation and Escape Operators, Institute of Computer Science, University of Mining and Metallurgy, Krakow, Poland, I Krajowa Konferencja Algorytmy Ewolucyjne, Murzasichle, 12-15.06.1996

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  6. M. L. Puterman Markov Decision Process: Discrete Stochastic Dynamic Programming, University of British Columbia, John Wiley & Sons, New York, USA

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  7. J. Siegel CORBA 3: Fundamentals and Programming Second Edition, John Wiley & Sons, New York, USA, 2000

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  8. E. Gamma, R. Helm, R. Johnson, J. Vlissides Design Patterns. Elements of Reusable Object-Oriented Software, Addison-Wesley, USA, 1995

    Google Scholar 

  9. Java Development Kit v1.3 http://java.sun.com

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© 2002 Springer-Verlag Berlin Heidelberg

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Lepiarz, M., Onderka, Z. (2002). Agent System for Load Monitoring of the Heterogeneous Computer Network. In: Wyrzykowski, R., Dongarra, J., Paprzycki, M., Waśniewski, J. (eds) Parallel Processing and Applied Mathematics. PPAM 2001. Lecture Notes in Computer Science, vol 2328. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-48086-2_40

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  • DOI: https://doi.org/10.1007/3-540-48086-2_40

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-43792-5

  • Online ISBN: 978-3-540-48086-0

  • eBook Packages: Springer Book Archive

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