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European Conference on Parallel Processing

Euro-Par 2011: Euro-Par 2011: Parallel Processing Workshops pp 94–103Cite as

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Enhancing an Autonomic Cloud Architecture with Mobile Agents

Enhancing an Autonomic Cloud Architecture with Mobile Agents

  • A. Cuomo30,
  • M. Rak31,
  • S. Venticinque31 &
  • …
  • U. Villano30 
  • Conference paper
  • 1363 Accesses

  • 3 Citations

  • 3 Altmetric

Part of the Lecture Notes in Computer Science book series (LNTCS,volume 7155)

Abstract

In cloud environments application scheduling, i.e., the matching of applications with the resources they need to be executed, is a hot research topic. Autonomic computing provides viable solutions to implement robust architectures that are enough flexible to tackle scheduling problems. CHASE is a framework based on an autonomic engine, designed to optimize resource management in clouds, grids or hybrid cloud-grid environments. Its optimizations are based on real-time knowledge of the status of managed resources. This requires continuous monitoring, which is difficult to be carried out in distributed and rapidly-changing environments as clouds. This paper presents a monitoring system to support autonomicity based on the mobile agents computing paradigm.

Keywords

  • Cloud Computing
  • Virtual Machine
  • Mobile Agent
  • Service Level Agreement
  • System Load

These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

The work described in this paper has been partially supported by the MIUR-PRIN 2008 project “Cloud@Home: a New Enhanced Computing Paradigm” and by the FP7-ICT-2009-5-256910 (mOSAIC) EU project.

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References

  1. Berman, F., Wolski, R., Casanova, H., Cirne, W., Dail, H., Faerman, M., Figueira, S., Hayes, J., Obertelli, G., Schopf, J., et al.: Adaptive computing on the grid using AppLeS. IEEE Transactions on Parallel and Distributed Systems 14(4), 369–382 (2003)

    CrossRef  Google Scholar 

  2. Blanco, C., Huedo, E., Montero, R., Llorente, I.: Dynamic provision of computing resources from grid infrastructures and cloud providers. In: Proceedings of the 2009 Workshops at the Grid and Pervasive Computing Conference, pp. 113–120. IEEE Computer Society (2009)

    Google Scholar 

  3. Brandic, I.: Towards self-manageable cloud services. In: 33rd Annual IEEE International Computer Software and Applications Conference, pp. 128–133 (2009)

    Google Scholar 

  4. Casola, V., Cuomo, A., Rak, M., Villano, U.: The CloudGrid approach: Security and performance analysis and evaluation. Future Generation Computer Systems (to be published, 2012), special section: Quality of Service in Grid and Cloud Computing

    Google Scholar 

  5. Cuomo, A., Di Modica, G., Distefano, S., Rak, M., Vecchio, A.: The Cloud@Home Architecture - Building a Cloud infrastructure from volunteered resources. In: CLOSER 2011, The First International Conference on Cloud Computing and Service Science, Noordwojkerhout, The Netherlands, May 7-9 (2011)

    Google Scholar 

  6. Dastjerdi, A.V., Bakar, K.A., Tabatabaei, S.: Distributed intrusion detection in clouds using mobile agents. In: 2009 Third International Conference on Advanced Engineering Computing and Applications in Sciences, pp. 175–180. IEEE (2009)

    Google Scholar 

  7. Di Martino, B., Rana, O.F.: Grid performance and resource management using mobile agents. In: Performance Analysis and Grid Computing, pp. 251–263. Kluwer Academic Publishers, Norwell (2004)

    CrossRef  Google Scholar 

  8. Grit, L., Irwin, D., Yumerefendi, A., Chase, J.: Virtual machine hosting for networked clusters: Building the foundations for autonomic orchestration. In: Proceedings of the 2nd International Workshop on Virtualization Technology in Distributed Computing, p. 7. IEEE Computer Society (2006)

    Google Scholar 

  9. Keahey, K., Foster, I.T., Freeman, T., Zhang, X.: Virtual workspaces: Achieving quality of service and quality of life in the grid. Scient. Progr. 13(4), 265–275 (2005)

    Google Scholar 

  10. Kephart, J.O., Chess, D.M.: The vision of autonomic computing. Computer 36(1), 41–50 (2003)

    CrossRef  MathSciNet  Google Scholar 

  11. Kim, H., et al.: An autonomic approach to integrated hpc grid and cloud usage. In: 2009 Fifth IEEE International Conference on e-Science, pp. 366–373. IEEE (2009)

    Google Scholar 

  12. Krauter, K., Buyya, R., Maheswaran, M.: A taxonomy and survey of grid resource management systems for distributed computing. Software: Practice and Experience 32(2), 135–164 (2002)

    CrossRef  MATH  Google Scholar 

  13. Mancini, E.P., Rak, M., Villano, U.: Perfcloud: Grid services for performance-oriented development of cloud computing applications. In: WETICE, pp. 201–206 (2009)

    Google Scholar 

  14. Mazzocca, N., Rak, M., Villano, U.: The Transition from a PVM Program Simulator to a Heterogeneous System Simulator: The HeSSE Project. In: Dongarra, J., Kacsuk, P., Podhorszki, N. (eds.) PVM/MPI 2000. LNCS, vol. 1908, pp. 266–273. Springer, Heidelberg (2000)

    CrossRef  Google Scholar 

  15. Mell, P., Grance, T.: The nist definition of cloud computing (2009)

    Google Scholar 

  16. Murphy, M.A., Abraham, L., Fenn, M., Goasguen, S.: Autonomic clouds on the grid. Journal of Grid Computing 8(1), 1–18 (2010)

    CrossRef  Google Scholar 

  17. Ostermann, S., Prodan, R., Fahringer, T.: Resource Management for Hybrid Grid and Cloud Computing. Computer Communications, 179–194 (2010)

    Google Scholar 

  18. Rak, M., Cuomo, A., Villano, U.: CHASE: an Autonomic Service Engine for Cloud Environments. In: WETICE 2011 - 20th IEEE International Conference on Collaboration Technologies and Infrastructures. pp. 116–121. IEEE (2011)

    Google Scholar 

  19. Sotomayor, B., Keahey, K., Foster, I.: Combining batch execution and leasing using virtual machines. In: Proceedings of the 17th International Symposium on High Performance Distributed Computing. pp. 87–96. ACM (2008)

    Google Scholar 

  20. Tomarchio, O., Vita, L.: On the use of mobile code technology for monitoring grid system. In: CCGRID 2001: Proceedings of the 1st International Symposium on Cluster Computing and the Grid, p. 450. IEEE Computer Society, Washington, DC (2001)

    CrossRef  Google Scholar 

  21. Zhang, Z., Zhang, X.: Realization of open cloud computing federation based on mobile agent. In: IEEE International Conference on Intelligent Computing and Intelligent Systems, ICIS 2009, vol. 3, pp. 642–646. IEEE (2009)

    Google Scholar 

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Author information

Authors and Affiliations

  1. Università del Sannio, Benevento, Italy

    A. Cuomo & U. Villano

  2. Seconda Università di Napoli, Aversa, CE, Italy

    M. Rak & S. Venticinque

Authors
  1. A. Cuomo
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  2. M. Rak
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  3. S. Venticinque
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  4. U. Villano
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Editor information

Editors and Affiliations

  1. Scilytics, Koellnerhofgasse 3/15A, 1010, Vienna, Austria

    Michael Alexander

  2. ICAR-CNR, Via P. Castellino, 111, 80131, Napoli, Italy

    Pasqua D’Ambra

  3. University of Amsterdam, 1090, Amsterdam, Netherlands

    Adam Belloum

  4. Innovative Computing Laboratory, The University of Tennessee, USA

    George Bosilca

  5. Department of Experimental Medicine and Clinic, University Magna Græcia, 88100, Catanzaro, Italy

    Mario Cannataro

  6. Computer Science Department, University of Pisa, Italy

    Marco Danelutto

  7. Second University of Naples, Italy

    Beniamino Di Martino

  8. TU München, Boltzmannstr. 3, 85748, Garching, Germany

    Michael Gerndt

  9. Equipe Runtime, INRIA Bordeaux Sud-Ouest, 33405, Talence Cedex, France

    Emmanuel Jeannot & Raymond Namyst & 

  10. Equipe HIEPACS, INRIA Bordeaux Sud-Ouest, 33405, Talence Cedex, France

    Jean Roman

  11. Oak Ridge National Laboratory, Computer Science and Mathematics Division, 37831-6164, Oak Ridge, TN, USA

    Stephen L. Scott

  12. Department of Scientific Computing, University of Vienna, Nordbergstr. 15/3C, 1090, Vienna, Austrial

    Jesper Larsson Traff

  13. Computer Science and Mathematics Division, Oak Ridge National Laboratory, 37831, Oak Ridge, TN, USA

    Geoffroy Vallée

  14. Technische Universität München, Germany

    Josef Weidendorfer

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© 2012 Springer-Verlag Berlin Heidelberg

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Cuomo, A., Rak, M., Venticinque, S., Villano, U. (2012). Enhancing an Autonomic Cloud Architecture with Mobile Agents. In: Alexander, M., et al. Euro-Par 2011: Parallel Processing Workshops. Euro-Par 2011. Lecture Notes in Computer Science, vol 7155. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-29737-3_11

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  • DOI: https://doi.org/10.1007/978-3-642-29737-3_11

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  • Print ISBN: 978-3-642-29736-6

  • Online ISBN: 978-3-642-29737-3

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