Autonomic Computing and Networking by Radu Calinescu (auth.), Yan Zhang, Laurence Tianruo Yang,

By Radu Calinescu (auth.), Yan Zhang, Laurence Tianruo Yang, Mieso K. Denko (eds.)

Autonomic Computing and Networking serves as a technical consultant and reference fabric for engineers, scientists, practitioners, and researchers via offering them with cutting-edge study actions and destiny possibilities and traits. The contributions made via well-known researchers from academia and comprise state of the art architectures, protocols, applied sciences, and functions in pervasive computing and instant networking. specifically, the e-book covers present and rising communications and computing versions, layout architectures, cellular and instant functions, expertise and study matters in autonomic computing structures and communications.

Important good points include:

  • A accomplished reference on autonomic computing and networking,
  • State-of-the-art strategies utilized in the field,
  • Illustrative figures allowing effortless studying, and
  • Emerging developments and open study difficulties and matters.

The fabric is prepared into sections: autonomic computing and autonomic networking. With a complete of eighteen chapters, each one part comprises 9 chapters addressing latest and rising architectures, protocols, and functions.

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Extra resources for Autonomic Computing and Networking

Example text

White et al. An architectural approach to autonomic computing. In Proc. 1st IEEE Intl. Conf. Autonomic Computing, IEEE Computer Society, pages 2–9, 2004. 46. O. Zimmermann et al. Perspectives on Web Services: Applying SOAP, WSDL and UDDI to Real-World Projects. Springer, 2005. Software Architecture-Based Self-Adaptation David Garlan, Bradley Schmerl, and Shang-Wen Cheng Abstract Increasingly, systems must have the ability to self-adapt to meet changes in their execution environment. Unfortunately, existing solutions require human oversight, or are limited in the kinds of systems and the set of quality-of-service concerns they address.

Model-driven development of self-managing software systems. In Proc. 9th Intl. Conf. Model-Driven Engineering Languages and Systems. Springer, 2006. 40. R. Sterritt et al. Sustainable and autonomic space exploration missions. In Proc. 2nd IEEE Intl. Conf. Space Mission Challenges for Information Technology, pages 59–66, 2006. 41. R. G. Hinchey. Biologically-inspired concepts for self-management of complexity. In Proc. 11th IEEE Intl. Conf. Engineering of Complex Computer Systems, pages 163–168, 2006.

Pages 141–146, 2005. 21. O. M. Chess. The vision of autonomic computing. IEEE Computer Journal, 36(1):41–50, January 2003. 22. S. Kikuchi et al. Policy verification and validation framework based on model checking approach. In Proc. 4th IEEE Intl. Conf. Autonomic Computing, June 2007. 23. M. Kwiatkowska. Quantitative verification: Models, techniques and tools. In Proc. 6th Joint Meeting of the European Software Engineering Conf. and the ACM SIGSOFT Symp. Foundations of Software Engineering, pages 449–458.

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