Lingua: Inglese
Editore: World Scientific Publishing Company, 2020
ISBN 10: 9811216142 ISBN 13: 9789811216145
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Lingua: Inglese
Editore: World Scientific Publishing Company, 2020
ISBN 10: 9811216142 ISBN 13: 9789811216145
Da: GreatBookPrices, Columbia, MD, U.S.A.
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Lingua: Inglese
Editore: World Scientific Publishing Co Pte Ltd, 2020
ISBN 10: 9811216142 ISBN 13: 9789811216145
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Lingua: Inglese
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ISBN 10: 9811216142 ISBN 13: 9789811216145
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ISBN 10: 9811216142 ISBN 13: 9789811216145
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ISBN 10: 9811216142 ISBN 13: 9789811216145
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Lingua: Inglese
Editore: World Scientific Pub Co Inc, 2020
ISBN 10: 9811216142 ISBN 13: 9789811216145
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Aggiungi al carrelloHardcover. Condizione: Brand New. 232 pages. 9.00x6.00x0.75 inches. In Stock.
Lingua: Inglese
Editore: World Scientific Pub Co Inc, 2020
ISBN 10: 9811216142 ISBN 13: 9789811216145
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Aggiungi al carrelloCondizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. KlappentextrnrnThis illustrative compendium analyzes the load balancing problem in distributed stream processing systems and explores a set of high-performance real-time processing scheme based on key-based balancing strategy, join-matrix model .
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Aggiungi al carrelloBuch. Condizione: Neu. LOAD BALANCE FOR DISTRIBUTED REAL-TIME COMPUTING SYSTEMS | Fang Junhua | Buch | Gebunden | Englisch | 2020 | World Scientific | EAN 9789811216145 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand.
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Aggiungi al carrelloBuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - This illustrative compendium analyzes the load balancing problem in distributed stream processing systems and explores a set of high-performance real-time processing scheme based on key-based balancing strategy, join-matrix model and fault tolerance mechanisms.The volume succinctly provides the theoretical support for the proposed techniques. Through a rich set of experiments and comparisons with the other state-of-the-art techniques using both standard benchmarks and real data sets, the book comprehensively verifies the correctness and effectiveness of the proposed methods.This unique title is an excellent reference text for researchers in the fields of distributed stream processing, parallel system, cloud computing, etc.