Scalable Fault Containing Self Stabilization In Dynamic Networks
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Scalable Fault-Containing Self-Stabilization in Dynamic Networks
Self-stabilizing distributed systems tolerate any kind of transient fault. Fault-Containment reduces the time needed for the repair of small-scale transient faults. This thesis presents two new transformations for fault-containment, eliminating the disadvantages of previous solutions. For the first time, fault-containment is implemented for the case where state corruptions and topology changes occur simultaneously. The work is complemented by a distributed algorithm that reduces the additional load caused by the transformations and distributes it uniformly among the nodes.
Wireless Ad Hoc and Sensor Networks
Two new fields have recently appeared: mobile ad hoc networks and sensor networks. The emergence of these very promising systems is mainly due to great technological progress in the field of wireless communication protocols; these will make it possible to offer a broad range of new applications in both civilian and militarian domains. The inherent characteristics of these systems imply new challenges. This book deals with several relevant fields related to the evolution of these spontaneous and self-organized networks. The authors tackle critical problems such as the design of unicast/multicast routing protocols, the support of the quality of service, the security mechanisms for routing and data transmission, the service discovery, the techniques of clustering/self-organization, the mobility of code and the fault-tolerance techniques. The discussion adopts an analysis-oriented approach which aims to cover the current cutting-edge aspects of these fields and to highlight some potential future development, making it essential reading for anyone wishing to gain a better understanding of these exciting new areas.
Transactions on Large-Scale Data- and Knowledge-Centered Systems IX
The LNCS journal Transactions on Large-Scale Data- and Knowledge-Centered Systems focuses on data management, knowledge discovery, and knowledge processing, which are core and hot topics in computer science. Since the 1990s, the Internet has become the main driving force behind application development in all domains. An increase in the demand for resource sharing across different sites connected through networks has led to an evolution of data- and knowledge-management systems from centralized systems to decentralized systems enabling large-scale distributed applications providing high scalability. Current decentralized systems still focus on data and knowledge as their main resource. Feasibility of these systems relies basically on P2P (peer-to-peer) techniques and the support of agent systems with scaling and decentralized control. Synergy between grids, P2P systems, and agent technologies is the key to data- and knowledge-centered systems in large-scale environments. This, the ninth issue of Transactions on Large-Scale Data- and Knowledge-Centered Systems, contains five revised selected regular papers focusing on the following topics: top-k query processing in P2P systems, self-stabilizing consensus average algorithms in distributed sensor networks, recoverable encryption schemes, xml data in a multi-system environment, and pairwise similarity for cluster ensemble problems.