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Towards an Agent-Based Augmented Cloud

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Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
In the paper an agent-based framework deployed in hybrid cluster and volunteer computing environment is presented. It utilizes two concepts proposed by the authors: Augmented Cloud and Agent Platform as a Service (AgPaaS). Both concepts are discussed in the context of Cloud Computing as defined by NIST. The key idea of the presented solution is to span the cloud (i.e., computing infrastructure) beyond the data center borders by utilizing web browsers as computational workers. The feasibility of the approach was demonstrated by two prototypes: the first one was based on Java Applets and Adobe Flash, whereas the second one on Microsoft Silverlight. The prototypes were next used to perform simple experiments, mainly related to scalability issues. Selected results from the experiments are discussed in the final part of the paper.
Rocznik
Tom
Strony
16--22
Opis fizyczny
Bibliogr. 16 poz., rys.
Twórcy
autor
autor
Bibliografia
  • [1] A. Byrski, M. Kisiel-Dorohinicki, and M. Carvalho, “A crisis management approach to mission survivability in computational multiagent systems”, Comp. Science, vol. 11, pp. 99–113, 2010.
  • [2] M. Grochowski, R. Schaefer, and P. Uhruski, “Diffusion based scheduling in the agent-oriented computing system”, in Proc. Int. Conf. PPAM 2003. Springer, 2004.
  • [3] S. Lu, I. Foster, and I. Raicu, “Cloud computing and grid computing 360-degree compared”, in Grid Comput. Environments Worsh. GCE’08, Austin, Texas, USA, 2008.
  • [4] A. Byrski, R. Debski, and M. Kisiel-Dorohinicki, “Agent-based computing in augmented cloud environment”, Int. J. Comp. Sys. Sci. Eng., 2012 (accepted for printing).
  • [5] P. Mell and T. Grance, “The nist definition of cloud computing (draft)”, Tech. rep., National Institute of Standards and Technology, 2011.
  • [6] E. Gamma, R. Helm, R. Johnson, and J. Vlissides, Design Patterns: Elements of Reusable Object-Oriented Software. Addison Wesley, 1995.
  • [7] E. Cant ´u-Paz, “A summary of research on parallel genetic algorithms”, IlliGAL Rep. No. 95007, University of Illinois, 1995.
  • [8] D. P. Anderson, E. Korpela, and R. Walton, “High-performance task distribution for volunteer computing”, in Proc. 1st Int. Conf. e-Sci. Grid Comput., Melbourne, Australia, 2005.
  • [9] L. F. G. Sarmenta and S. Hirano, “Bayanihan: Building and studying web-based volunteer computing systems using Java”, Future Gener. Comp. Systems, vol. 15, pp. 675–686, 1999.
  • [10] Y. Xu, “Global sideband service distributed computing method”, in Proc. Int. Conf. Commun. Netw. Distrib. Sys. Model. Simul. CNDS’98, San Diego, CA, USA, 1998.
  • [11] B. Czerwinski, R. Debski, and K. Pietak, “Distributed agent-based platform for large-scale evolutionary computations”, in Proc. 5th Int. Conf. Complex Intel. Softw. Intensive Sys., IEEE Press, 2011.
  • [12] K. R. Jackson et al., “Performance analysis of high performance computing applications on the amazon web services cloud”, in Proc. 2nd IEEE Int. Conf. Cloud Comput. Technol. Sci. CloudCom’10, Indianapolis, USA, 2010.
  • [13] J. Napper and P. Bientinesi, “Can cloud computing reach the top500”, in Proc. UCHPC-MAW ’09, ACM, 2009.
  • [14] J. J. Merelo et al., “Browser-based distributed evolutionary computation: performance and scaling behavior”, in Proc. 9th Ann. Conf. Genetic Evol. Comput. GECCO ’07, New York, NY, USA, 2007, pp. 2851–2858.
  • [15] M. Armbrust et al., “Above the clouds: A Berkeley view of cloud computing”, Tech. rep., UC Berkeley, 2009.
  • [16] M. Behrendt et al., “IBM cloud computing reference architecture 2.0”, Tech. rep., The Open Group, 2011.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-article-BATA-0015-0002
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