By Radu Calinescu (auth.), Yan Zhang, Laurence Tianruo Yang, Mieso K. Denko (eds.)
Autonomic Computing and Networking serves as a technical advisor and reference fabric for engineers, scientists, practitioners, and researchers via offering them with state of the art learn actions and destiny possibilities and traits. The contributions made by means of well-liked researchers from academia and contain state of the art architectures, protocols, applied sciences, and purposes in pervasive computing and instant networking. particularly, the ebook covers current and rising communications and computing versions, layout architectures, cellular and instant functions, know-how and study matters in autonomic computing structures and communications.
Important positive aspects include:
- A entire reference on autonomic computing and networking,
- State-of-the-art strategies utilized in the field,
- Illustrative figures allowing effortless analyzing, and
- Emerging developments and open learn difficulties and matters.
The fabric is geared up into sections: autonomic computing and autonomic networking. With a complete of eighteen chapters, every one part includes 9 chapters addressing latest and rising architectures, protocols, and functions.
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Extra info for Autonomic Computing and Networking
In particular, our approach abstracts observed behavior of an executing system into properties of an architectural model, where they can be reasoned about using a variety of existing architectural analysis techniques. The results of these analyses can then be used to reason about changes that should be made to a system to improve or correct the system’s achievement of the quality attributes. Our approach is embodied in a system called Rainbow, which focuses on two challenges to achieve cost-effective self-adaptation: (1) an approach and mechanism that reduces engineering effort and (2) representation of adaptation knowledge.
9. S. Dobson et al. A survey of autonomic communications. ACM Transactions on Autonomous and Adaptive Systems, 1(2):223–259, December 2006. General-Purpose Autonomic Computing 29 10. D. Gracanin et al. Towards a model-driven architecture for autonomic systems. In Proc. 11th IEEE Intl. Conf. Engineering of Computer-Based Systems, pages 500–505, 2004. 11. B. Haverkort et al. On the use of model checking techniques for dependability evaluation. In Proc. 19th IEEE Symp. Reliable Distributed Systems, pages 228–237, October 2000.
The Digital Economy Factbook. The Progress and Freedom Foundation, 2006. 27. Wen-Syan Li et al. Load balancing for multi-tiered database systems through autonomic placement of materialized views. In Proc. 22nd IEEE Intl. Conf. Data Engineering, April 2006. 28. Microsoft Corporation. exe), 2007. aspx. 29. Microsoft Corporation. System Definition Model overview, April 2004. doc. 30. B. Moore. Policy Core Information Model (PCIM) extensions, January 2003. txt. 31. R. Murch. Autonomic Computing. IBM Press, 2004.