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Comcutejs:a Web browser based platform for large-scale computations

Treść / Zawartość
Identyfikatory
Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
The paper presents a new, cost effective,volunteer computing based platform. It utilizes volunteers’web browsers as computational nodes. The computational tasks are delegated to the browsers and executed in the background (independently of any user interface scripts) making use of the HTML5 web workers technology. The capabilities of the platform hale been proved by experiments performer in a wide range of numbers of computational nodes (1–400).
Wydawca
Czasopismo
Rocznik
Strony
143--152
Opis fizyczny
Bibliogr. 14 poz., rys.
Twórcy
autor
  • AGH University of Science and Technology, Krakow, Poland
autor
  • Fido Intelligence, Gdansk, Poland
autor
  • Fido Intelligence, Gdansk, Poland
Bibliografia
  • [1] Anderson D.P., Korpela E., Walton R.: High-performance task distribution for volunteer computing. In Proc. of the First International Conference on e-Science and Grid Computing, 2005.
  • [2] Armbrust M., et al. : Above the clouds: A Berkeley View of Cloud Computing. TechnicalnReport, UC Berkeley, 2009.
  • [3] Bader D.A., Pennington R.: Cluster computing : Applications. The International Journal of High Performance Computing Applications ,15(2):181–185, May 2001.
  • [4] Byrski A., Dębski R., Kisiel-Dorohinicki M.: Agent-based computing in augmented Cloud environment. International Journal of Computer Systems Science and Engineering, (1):7–18, 2012.
  • [5] Czerwiński B., Dębski R., Piętak K.: Distributed agent-based platform for largescale evolutionary computations. In Proc. of 5-th Int. Conf. on Complex Intelligent and Software Intensive Systems. IEEE Press, 2011 .
  • [6] Dębski R., Byrski A., Kisiel-Dorohinicki M.:Towards anagent-based augmented cloud. Journal of Telecommunications and Information Technology, (1):16–22, 2012.
  • [7] JacksonK., et al. : Performance analysis of high performance computing applications on the amazon Web services cloud. In CloudCom’10, 2010.
  • [8] Karp, Alan H., Flatt, Horace P.: Measuring paralell processor performance. Communication of the ACM 33 (5), pp. 539–543,1990.
  • [9] Kesselman C., Foster I.: The Grid : Blueprint for a New Computing Infrastructure. Morgan Kaufmann Publishers, 1998 .
  • [10] Mell P., Grance T.: The nist definition of cloud computing (draft) . Technical report, National Institute of Standards and Technology, 2011 .
  • [11] Napper J., Bientinesi P.: Can cloud computing reach the top500. In UCHPC- MAW’09, 2009.
  • [12] Sarmenta L. F. G., Hirano S.: Bayanihan: Building and studying web-based volunteer computing systems using java. Future Genertion Computer Systems, 15:675–686, 1999 .
  • [13] Vecchiola C., Pandey S., Buyya R.: High-performance Cloud computing: A view of scientific applications. In ISPAN 2009, pp. 4–16. IEEE Computer Society, 2009.
  • [14] Xu Y.: Globar sideband service distributed computing method. In Proc. of the International Conference on Communication Networks and Distributed System Modeling and Simulation (CNDS98), 1998.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-2c8a084e-1de1-4953-aebf-ca8501bcf7a4
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