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International Conference on Software Composition

SC 2008: Software Composition pp 165–172Cite as

Loose Compositions for Autonomic Systems

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Part of the book series: Lecture Notes in Computer Science ((LNPSE,volume 4954))

Abstract

Autonomic computing is one of the most promising techniques for managing the complexity of modern software applications. It fosters the idea of systems able to autonomously detect anomalies and react accordingly. Supervision and actual business logic are intertwined and work together to supply the autonomic features.

The paper presents our ongoing work on loose compositions for autonomic systems and introduces the first ideas of a framework based on Java, aspect oriented programming, and rules. The paper also sketches a first prototype implementation, based on the DIET agent framework.

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References

  1. JBoss AOP, http://labs.jboss.com/jbossaop/

  2. Chakravarti, A.J., Baumgartner, G., Lauria, M.: The organic grid: self-organizing computation on a peer-to-peer network. Systems, Man and Cybernetics, Part A, IEEE Transactions on 35(3), 373–384 (2005)

    Article  Google Scholar 

  3. Cugola, G., Picco, G.P.: Reds: a reconfigurable dispatching system. In: SEM 2006: Proceedings of the 6th international workshop on Software engineering and middleware, pp. 9–16. ACM, New York (2006)

    Chapter  Google Scholar 

  4. Ganek, A.G., Corbi, T.A.: The dawning of the autonomic computing era. IBM Systems Journal 42(1), 5–18 (2003)

    Article  Google Scholar 

  5. Horn, P.: Autonomic Computing: IBMs Perspective on the State of Information Technology. IBM TJ Watson Labs, NY (October 15, 2001)

    Google Scholar 

  6. Jacques-Silva, G., Challenger, J., Degenaro, L., Giles, J., Wagle, R.: Towards autonomic fault recovery in system-s. In: Proceedings of the 4th IEEE International Conference on Autonomic Computing (2007)

    Google Scholar 

  7. Kaiser, G., Gross, P., Kc, G., Parekh, J., Valetto, G.: Columbia Univ. New York. An Approach to Autonomizing Legacy Systems. Defense Technical Information Center (2005)

    Google Scholar 

  8. Kaiser, G., Parekh, J., Gross, P., Valetto, G.: Kinesthetics eXtreme: an external infrastructure for monitoring distributed legacy systems. In: Autonomic Computing Workshop, 2003, pp. 22–30 (2003)

    Google Scholar 

  9. Koehler, J., Giblin, C., Gantenbein, D., Hauser, R.: On Autonomic Computing Architectures. Research Report (Computer Science) RZ, 3487 (2003)

    Google Scholar 

  10. Marrow, P.: The diet project: building a lightweight, decentralised and adaptable agent platform. AgentLink News 3(12), 3–6 (2003)

    Google Scholar 

  11. Di Nitto, E., Dubois, D.J., Mirandola, R.: Self-Aggregation Algorithms for Autonomic Systems. Bionetics (2007)

    Google Scholar 

  12. Parashar, M., Hariri, S.: Autonomic computing: An overview. In: Banâtre, J.-P., Fradet, P., Giavitto, J.-L., Michel, O. (eds.) UPP 2004. LNCS, vol. 3566, pp. 257–269. Springer, Heidelberg (2005)

    Google Scholar 

  13. Poellabauer, C., Abbasi, H., Schwan, K.: Cooperative run-time management of adaptive applications and distributed resources. In: Proceedings of the tenth ACM international conference on Multimedia, pp. 402–411 (2002)

    Google Scholar 

  14. JBoss Rules, http://www.jboss.com/products/rules

  15. Ruth, P., Rhee, J., Xu, D., Kennell, R., Goasguen, S.: Autonomic Live Adaptation of Virtual Computational Environments in a Multi-Domain Infrastructure. In: Proc. IEEE ICAC, pp. 5–14 (2006)

    Google Scholar 

  16. Seshasayee, B., Nathuji, R., Schwan, K.: Energy-aware Mobile Service Overlays: Cooperative Dynamic Power Management in Distributed Mobile Systems. In: Proceedings of the IEEE International Conference on Autonomic Computing (ICAC) (2007)

    Google Scholar 

  17. WSDM Specification, http://www.oasis-open.org/committees/

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Author information

Authors and Affiliations

  1. Dipartimento di Elettronica e Informazione, Politecnico di Milano, Via Golgi 40, 20133, Milano, Italy

    Luciano Baresi & Giordano Tamburrelli

Authors
  1. Luciano Baresi
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  2. Giordano Tamburrelli
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Editor information

Cesare Pautasso Éric Tanter

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© 2008 Springer-Verlag Berlin Heidelberg

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Baresi, L., Tamburrelli, G. (2008). Loose Compositions for Autonomic Systems. In: Pautasso, C., Tanter, É. (eds) Software Composition. SC 2008. Lecture Notes in Computer Science, vol 4954. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-78789-1_13

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  • DOI: https://doi.org/10.1007/978-3-540-78789-1_13

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-78788-4

  • Online ISBN: 978-3-540-78789-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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