Table of Contents.
Hint Swipe to navigate through the chapters of this book Close hint. We start the study of the Do-All problem by considering a synchronous distributed environment and under the adversary that can cause pro- cessor crashes, the more benign type of adversity. In order to understand better the inherent limitations and difficulties of solving the Do-All and Do-All iterative problems in the presence of crashes, we first abstract away any communication issues by assuming an oracle that provides load-balancing and computational progress information to the processors.
Such and oracle provides, what we call, perfect knowledge to the algorithms solving the problem. We present matching upper and lower bounds on total-work for models with perfect knowledge. These bounds are failure-sensitive , which means we give bounds that carefully incorporate the maximum number of processor crashes.
Book Description Cooperative network supercomputing is becoming increasingly popular for harnessing the power of the global Internet computing platform. A typical Internet supercomputer consists of a master computer or server and a large number of computers called workers, performing computation on behalf of the master. Despite the simplicity and benefits of a single master approach, as the scale of such computing environments grows, it becomes unrealistic to assume the existence of the infallible master that is able to coordinate the activities of multitudes of workers.
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Large-scale distributed systems are inherently dynamic and are subject to perturbations, such as failures of computers and network links, thus it is also necessary to consider fully distributed peer-to-peer solutions. We present a study of cooperative computing with the focus on modeling distributed computing settings, algorithmic techniques enabling one to combine efficiency and fault-tolerance in distributed systems, and the exposition of trade-offs between efficiency and fault-tolerance for robust cooperative computing.
List of distributed computing conferences
It seems that you're in Germany. We have a dedicated site for Germany. The ability to cooperatively perform a collection of tasks in a distributed system is key to solving a broad array of computation problems ranging from distributed search, to distributed simulation, and multi-agent collaboration. Practical solutions to such cooperation problems must effectively marshal the available computing resources in performing large sets of tasks.
This is challenging due to the failures and asynchrony of the involved processors, and due to the delays and connectivity failures in the underlying network.
- Chryssis Georgiou (Author of Do-All Computing in Distributed Systems).
- Cooperative Task-Oriented Computing;
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- Product description;
Do-All Computing in Distributed Systems: Cooperation in the Presence of Adversity is the first book that presents an in depth study of cooperation problems, abstracted in terms of the Do-All problem, where a collection of processors cooperatively perform a collection of independent tasks in the presence of adversity. Upper and lower bounds are presented, demonstrating the extent to which efficiency can be combined with fault-tolerance. This book contains the recent advances in the principles of efficient and fault-tolerant cooperative computing, narrowing the gap between abstract models of dependable network computing and realistic distributed systems.
Do-All Computing in Distributed Systems: Cooperation in the Presence of Adversity is structured to meet the needs of a professional audience composed of researchers and practitioners in industry.