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Da: Kennys Bookshop and Art Galleries Ltd., Galway, GY, Irlanda
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Da: THE SAINT BOOKSTORE, Southport, Regno Unito
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Aggiungi al carrelloHardback. Condizione: New. New copy - Usually dispatched within 4 working days.
Da: Majestic Books, Hounslow, Regno Unito
EUR 146,09
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Aggiungi al carrelloCondizione: New.
Lingua: Inglese
Editore: John Wiley and Sons Inc, US, 2024
ISBN 10: 1119912938 ISBN 13: 9781119912934
Da: Rarewaves.com USA, London, LONDO, Regno Unito
EUR 154,98
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Aggiungi al carrelloHardback. Condizione: New. Comprehensive guide to the principles, algorithms, and techniques underlying resource management for clouds, big data, and sensor-based systems Resource Management on Distributed Systems provides helpful guidance by describing algorithms and techniques for managing resources on parallel and distributed systems, including grids, clouds, and parallel processing-based platforms for big data analytics. The book focuses on four general principles of resource management and their impact on system performance, energy usage, and cost, including end-of-chapter exercises. The text includes chapters on sensors, autoscaling on clouds, complex event processing for streaming data, and data filtering techniques for big data systems. The book also covers results of applying the discussed techniques on simulated as well as real systems (including clouds and big data processing platforms), and techniques for handling errors associated with user predicted task execution times. Written by a highly qualified academic with significant research experience in the field, Resource Management on Distributed Systems includes information on sample topics such as: Attributes of parallel/distributed applications that have an intimate relationship with system behavior and performance, plus their related performance metrics.Handling a lack of a prior knowledge of local operating systems on individual nodes in a large system.Detection and management of complex events (that correspond to the occurrence of multiple raw events) on a platform for streaming analytics.Techniques for reducing data latency for multiple operator-based queries in an environment processing large textual documents. With comprehensive coverage of core topics in the field, Resource Management on Distributed Systems is a comprehensive guide to resource management in a single publication and is an essential read for professionals, researchers and students working with distributed systems.
Da: Books Puddle, New York, NY, U.S.A.
Condizione: New.
Condizione: New.
EUR 127,58
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Aggiungi al carrelloCondizione: New. Über den AutorShikharesh Majumdar is Chancellor s Professor & Director at Real Time and Distributed Systems Research Centre, Carleton University, Canada. Professor Majumdar earned his PhD in Computational Science from the .
Da: AHA-BUCH GmbH, Einbeck, Germania
EUR 131,84
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Aggiungi al carrelloBuch. Condizione: Neu. Neuware - Comprehensive guide to the principles, algorithms, and techniques underlying resource management for clouds, big data, and sensor-based systems.
Da: preigu, Osnabrück, Germania
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Aggiungi al carrelloBuch. Condizione: Neu. Resource Management on Distributed Systems | Principles and Techniques | Shikharesh Majumdar | Buch | Einband - fest (Hardcover) | Englisch | 2024 | John Wiley & Sons Inc | EAN 9781119912934 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu.
Lingua: Inglese
Editore: John Wiley and Sons Inc, US, 2024
ISBN 10: 1119912938 ISBN 13: 9781119912934
Da: Rarewaves.com UK, London, Regno Unito
EUR 145,75
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Aggiungi al carrelloHardback. Condizione: New. Comprehensive guide to the principles, algorithms, and techniques underlying resource management for clouds, big data, and sensor-based systems Resource Management on Distributed Systems provides helpful guidance by describing algorithms and techniques for managing resources on parallel and distributed systems, including grids, clouds, and parallel processing-based platforms for big data analytics. The book focuses on four general principles of resource management and their impact on system performance, energy usage, and cost, including end-of-chapter exercises. The text includes chapters on sensors, autoscaling on clouds, complex event processing for streaming data, and data filtering techniques for big data systems. The book also covers results of applying the discussed techniques on simulated as well as real systems (including clouds and big data processing platforms), and techniques for handling errors associated with user predicted task execution times. Written by a highly qualified academic with significant research experience in the field, Resource Management on Distributed Systems includes information on sample topics such as: Attributes of parallel/distributed applications that have an intimate relationship with system behavior and performance, plus their related performance metrics.Handling a lack of a prior knowledge of local operating systems on individual nodes in a large system.Detection and management of complex events (that correspond to the occurrence of multiple raw events) on a platform for streaming analytics.Techniques for reducing data latency for multiple operator-based queries in an environment processing large textual documents. With comprehensive coverage of core topics in the field, Resource Management on Distributed Systems is a comprehensive guide to resource management in a single publication and is an essential read for professionals, researchers and students working with distributed systems.
Da: THE SAINT BOOKSTORE, Southport, Regno Unito
EUR 135,31
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Da: Revaluation Books, Exeter, Regno Unito
EUR 143,12
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Aggiungi al carrelloHardcover. Condizione: Brand New. 250 pages. 6.00x0.75x9.00 inches. In Stock. This item is printed on demand.
Lingua: Inglese
Editore: John Wiley & Sons Inc, New York, 2024
ISBN 10: 1119912938 ISBN 13: 9781119912934
Da: CitiRetail, Stevenage, Regno Unito
EUR 122,90
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Aggiungi al carrelloHardcover. Condizione: new. Hardcover. Comprehensive guide to the principles, algorithms, and techniques underlying resource management for clouds, big data, and sensor-based systems Resource Management on Distributed Systems provides helpful guidance by describing algorithms and techniques for managing resources on parallel and distributed systems, including grids, clouds, and parallel processing-based platforms for big data analytics. The book focuses on four general principles of resource management and their impact on system performance, energy usage, and cost, including end-of-chapter exercises. The text includes chapters on sensors, autoscaling on clouds, complex event processing for streaming data, and data filtering techniques for big data systems. The book also covers results of applying the discussed techniques on simulated as well as real systems (including clouds and big data processing platforms), and techniques for handling errors associated with user predicted task execution times. Written by a highly qualified academic with significant research experience in the field, Resource Management on Distributed Systems includes information on sample topics such as: Attributes of parallel/distributed applications that have an intimate relationship with system behavior and performance, plus their related performance metrics.Handling a lack of a prior knowledge of local operating systems on individual nodes in a large system.Detection and management of complex events (that correspond to the occurrence of multiple raw events) on a platform for streaming analytics.Techniques for reducing data latency for multiple operator-based queries in an environment processing large textual documents. With comprehensive coverage of core topics in the field, Resource Management on Distributed Systems is a comprehensive guide to resource management in a single publication and is an essential read for professionals, researchers and students working with distributed systems. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.