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PERFORMANCE EVALUATION OF DIRECTORY-BASED CACHE COHERENCE PROTOCOLS
Language: English
Published by LAP LAMBERT Academic Publishing, 2011
ISBN 10: 3844391878 ISBN 13: 9783844391879
Condition: New.
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Performance Improvement Of The 2D Broadcast-based DSM.
Language: English
Published by LAP LAMBERT Academic Publishing, 2013
ISBN 10: 3659462497 ISBN 13: 9783659462498
Condition: New.
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Performance Improvement Of The 2D Broadcast-based DSM Systems
Language: English
Published by LAP LAMBERT Academic Publishing, 2013
ISBN 10: 3659462497 ISBN 13: 9783659462498
Condition: New.
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Performance Improvement Of The 2D Broadcast-Based Dsm Systems: By Message Operations
Language: English
Published by Lap Lambert Academic Publishing, 2013
ISBN 10: 3659462497 ISBN 13: 9783659462498
Paperback. Condition: Brand New. 136 pages. 8.66x5.91x0.31 inches. In Stock.
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Performance Improvement Of The 2D Broadcast-based DSM Systems | By Message Operations
Language: English
Published by LAP LAMBERT Academic Publishing, 2013
ISBN 10: 3659462497 ISBN 13: 9783659462498
Taschenbuch. Condition: Neu. Performance Improvement Of The 2D Broadcast-based DSM Systems | By Message Operations | Ipek Abasikeles (u. a.) | Taschenbuch | 136 S. | Englisch | 2013 | LAP LAMBERT Academic Publishing | EAN 9783659462498 | Verantwortliche Person für die EU: BoD - Books on Demand, In de Tarpen 42, 22848 Norderstedt, info[at]bod[dot]de | Anbieter: preigu.
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ÉVALUATION DES PERFORMANCES DES PROTOCOLES DE COHÉRENCE CACHE BASÉS SUR UN RÉPERTOIRE
Language: French
Published by Editions Notre Savoir, 2021
ISBN 10: 6203022950 ISBN 13: 9786203022957
Condition: New.
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Buch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book presents innovative applications of deep learning techniques in wireless ad-hoc networks, addressing critical challenges such as trust, routing, traffic management, and intrusion detection. By combining advanced AI models with real-world network scenarios, the chapters explore novel solutions for improving network reliability, security, and efficiency. Readers benefit from a multidisciplinary approach that bridges deep learning and wireless communication, offering both theoretical insights and practical frameworks. Targeting researchers, engineers, and graduate students, this work serves as a valuable resource for understanding and implementing deep learning strategies to optimize modern wireless systems. Whether improving IoT networks, securing controller area networks, or enabling smart mobility, the book provides actionable knowledge on Deep Learning applications for solving current and future challenges in ad-hoc wireless networks.
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PRESTATIE-EVALUATIE VAN OP DIRECTEUR GEBASEERDE CACHECOHERENTIE PROTOCOLLEN
Language: Dutch
Published by Uitgeverij Onze Kennis, 2021
ISBN 10: 6203022926 ISBN 13: 9786203022926
Condition: New.
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OCENA WYDAJNOSCI PROTOKOLÓW CACHE SPÓJNOSCI OPARTYCH NA KATALOGACH
Language: Polish
Published by Wydawnictwo Nasza Wiedza, 2021
ISBN 10: 6203022969 ISBN 13: 9786203022964
Condition: New.
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AVALIAÇÃO DE DESEMPENHO DE PROTOCOLOS DE COERÊNCIA DE CACHE BASEADOS EM DIRETÓRIO
Language: Portuguese
Published by Edicoes Nosso Conhecimento, 2021
ISBN 10: 6203022934 ISBN 13: 9786203022933
Condition: New.
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Performance Improvement Of The 2D Broadcast-based DSM Systems
Language: English
Published by LAP LAMBERT Academic Publishing Sep 2013, 2013
ISBN 10: 3659462497 ISBN 13: 9783659462498
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
Seller rating 5 out of 5 stars
Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -A DSM system on 2D broadcast-based optical architecture is simulated by using OPNET Modeler and the performance of the system is improved by message priority and combining techniques under different traffic patterns, including uniform, hot region and bit permutations. The simulated system contains 64 nodes. Each node has a server that processes directory, cache and processor messages, two output channels and two input queues, one for horizontal and the other for vertical dimension. Scenarios are run to measure average network response time, average input waiting time and average channel waiting time for varying values of DSM parameters. The results show that combining reduces average channel waiting time between 13% and 29%, while priority reduces average input waiting time between 7% and 43% on average. With the application of message priority and combining, between 7% and 40% performance increase for average network response time has gained. 136 pp. Englisch.
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Performance Improvement Of The 2D Broadcast-based DSM.
Language: English
Published by LAP LAMBERT Academic Publishing, 2013
ISBN 10: 3659462497 ISBN 13: 9783659462498
Condition: New. Print on Demand.
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Performance Improvement Of The 2D Broadcast-based DSM.
Language: English
Published by LAP LAMBERT Academic Publishing, 2013
ISBN 10: 3659462497 ISBN 13: 9783659462498
Condition: New. PRINT ON DEMAND.
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Performance Improvement Of The 2D Broadcast-based DSM Systems
Language: English
Published by LAP LAMBERT Academic Publishing Sep 2013, 2013
ISBN 10: 3659462497 ISBN 13: 9783659462498
Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germany
Seller rating 5 out of 5 stars
Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -A DSM system on 2D broadcast-based optical architecture is simulated by using OPNET Modeler and the performance of the system is improved by message priority and combining techniques under different traffic patterns, including uniform, hot region and bit permutations. The simulated system contains 64 nodes. Each node has a server that processes directory, cache and processor messages, two output channels and two input queues, one for horizontal and the other for vertical dimension. Scenarios are run to measure average network response time, average input waiting time and average channel waiting time for varying values of DSM parameters. The results show that combining reduces average channel waiting time between 13% and 29%, while priority reduces average input waiting time between 7% and 43% on average. With the application of message priority and combining, between 7% and 40% performance increase for average network response time has gained.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 136 pp. Englisch.
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Performance Improvement Of The 2D Broadcast-based DSM Systems : By Message Operations
Language: English
Published by LAP LAMBERT Academic Publishing, 2013
ISBN 10: 3659462497 ISBN 13: 9783659462498
Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - A DSM system on 2D broadcast-based optical architecture is simulated by using OPNET Modeler and the performance of the system is improved by message priority and combining techniques under different traffic patterns, including uniform, hot region and bit permutations. The simulated system contains 64 nodes. Each node has a server that processes directory, cache and processor messages, two output channels and two input queues, one for horizontal and the other for vertical dimension. Scenarios are run to measure average network response time, average input waiting time and average channel waiting time for varying values of DSM parameters. The results show that combining reduces average channel waiting time between 13% and 29%, while priority reduces average input waiting time between 7% and 43% on average. With the application of message priority and combining, between 7% and 40% performance increase for average network response time has gained.
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Condition: new. Questo è un articolo print on demand.
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Deep Learning in ad-hoc Wireless Networks
Language: English
Published by Springer Verlag GmbH, 2025
ISBN 10: 3031860748 ISBN 13: 9783031860744
Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt.
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Deep Learning in Ad-Hoc Wireless Networks
Language: English
Published by Springer, Springer Apr 2025, 2025
ISBN 10: 3031860748 ISBN 13: 9783031860744
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
Seller rating 5 out of 5 stars
Buch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book presents innovative applications of deep learning techniques in wireless ad-hoc networks, addressing critical challenges such as trust, routing, traffic management, and intrusion detection. By combining advanced AI models with real-world network scenarios, the chapters explore novel solutions for improving network reliability, security, and efficiency. Readers benefit from a multidisciplinary approach that bridges deep learning and wireless communication, offering both theoretical insights and practical frameworks. Targeting researchers, engineers, and graduate students, this work serves as a valuable resource for understanding and implementing deep learning strategies to optimize modern wireless systems. Whether improving IoT networks, securing controller area networks, or enabling smart mobility, the book provides actionable knowledge on Deep Learning applications for solving current and future challenges in ad-hoc wireless networks. 132 pp. Englisch.
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Deep Learning in Ad-Hoc Wireless Networks
Language: English
Published by Springer, Palgrave Macmillan Apr 2025, 2025
ISBN 10: 3031860748 ISBN 13: 9783031860744
Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germany
Seller rating 5 out of 5 stars
Buch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -This book presents innovative applications of deep learning techniques in wireless ad-hoc networks, addressing critical challenges such as trust, routing, traffic management, and intrusion detection. By combining advanced AI models with real-world network scenarios, the chapters explore novel solutions for improving network reliability, security, and efficiency. Readers benefit from a multidisciplinary approach that bridges deep learning and wireless communication, offering both theoretical insights and practical frameworks. Targeting researchers, engineers, and graduate students, this work serves as a valuable resource for understanding and implementing deep learning strategies to optimize modern wireless systems. Whether improving IoT networks, securing controller area networks, or enabling smart mobility, the book provides actionable knowledge on Deep Learning applications for solving current and future challenges in ad-hoc wireless networks.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 132 pp. Englisch.
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Condition: New. Print on Demand.
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Condition: New. PRINT ON DEMAND.
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Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Die Leistung von drei verzeichnisbasierten Cache-Kohaerenz-Protokollen Die strikte Anforderung-Antwort-, Interventionsweiterleitung und Antwortweiterleitung werden ueber eine Simulation auf dem SOME-Bus ausgewertet, einem Glasfaserverbindungsnetzwerk, das DS.
