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Optimal Distributed Resource Allocation (Classic Reprint) - Softcover

 
9781332173471: Optimal Distributed Resource Allocation (Classic Reprint)

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In this paper we consider a resource allocation problem in a distributed network, where processors' Speeds can vary dynamically. The problem is local in the sense that the maximum number of users competing for a particular resource at any time instant is upper bounded by a constant v and also at any time instant the maximum number of resources that a user is willing to get is upper bounded by a constant k. Each user's demands for resources may change dynamically.

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This book is a reproduction of an important historical work. Forgotten Books uses state-of-the-art technology to digitally reconstruct the work, preserving the original format whilst repairing imperfections present in the aged copy. In rare cases, an imperfection in the original, such as a blemish or missing page, may be replicated in our edition. We do, however, repair the vast majority of imperfections successfully; any imperfections that remain are intentionally left to preserve the state of such historical works.

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John Reif, Paul Spirakis
Published by Forgotten Books, 2018
ISBN 10: 1332173470 ISBN 13: 9781332173471
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Paperback. Condition: New. Print on Demand. This book solves an issue in distributed computing, a rapidly growing field that underpins modern technology. The problem is that multiple requests for the same resource must be managed to avoid data loss or wasted time. The author presents a series of algorithms that improve upon previous attempts at resource management in a distributed system, making them much faster and more efficient. The book presents two main algorithms, the first being generally efficient for all use cases and the second being faster in certain situations. Both algorithms guarantee that no process will starve or be unfairly treated. This book is a reproduction of an important historical work, digitally reconstructed using state-of-the-art technology to preserve the original format. In rare cases, an imperfection in the original, such as a blemish or missing page, may be replicated in the book. print-on-demand item. Seller Inventory # 9781332173471_0

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