Isbn: 9786209674532 - foundations and emerging paradigms in distributed computing (11 resultados)

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  • Idioma: Inglés

    Editorial: LAP LAMBERT Academic Publishing, 2026

    6209674534 / 9786209674532

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    Librería: California Books, Miami, FL, Estados Unidos de AmericaCalifornia Books

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    Editorial: LAP LAMBERT Academic Publishing, 2026

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    PAP. Condición: New. New Book. Shipped from UK. Established seller since 2000.

  • Idioma: Inglés

    Editorial: LAP LAMBERT Academic Publishing, 2026

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    Librería: PBShop.store UK, Fairford, GLOS, Reino UnidoPBShop.store UK

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  • Idioma: Inglés

    Editorial: LAP LAMBERT Academic Publishing, 2026

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    Librería: preigu, Osnabrück, Alemaniapreigu

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    Taschenbuch. Condición: Neu. FOUNDATIONS AND EMERGING PARADIGMS IN DISTRIBUTED COMPUTING | Abinaya V (u. a.) | Taschenbuch | Englisch | 2026 | LAP LAMBERT Academic Publishing | EAN 9786209674532 | Verantwortliche Person für die EU: SIA OmniScriptum Publishing, Brivibas Gatve 197, 1039 RIGA, LETTLAND, customerservice[at]vdm-vsg[dot]de | Anbieter: preigu.

  • Idioma: Inglés

    Editorial: Omniscriptum, LAP Lambert Academic Publishing, 2026

    6209674534 / 9786209674532

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    Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, AlemaniaBuchWeltWeit Ludwig Meier e.K.

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    Taschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Distributed computing is a computing model in which multiple interconnected computers work together to perform tasks as a single system, improving scalability, performance, and reliability. Its foundations include concepts such as transparency, communication through message passing or remote calls, synchronization, consistency management, and fault tolerance using replication and redundancy. Traditional architectures like client-server, peer-to-peer, clusters, and grids established the basis for sharing resources across networks. Emerging paradigms such as cloud computing, microservices, edge computing, serverless platforms, and blockchain have expanded distributed systems to support large-scale, real-time, and data-intensive applications. These advancements enable flexible, resilient, and efficient infrastructures that power modern technologies including big data analytics, IoT, and artificial intelligence services. 200 pp. Englisch.

  • Idioma: Inglés

    Editorial: LAP Lambert Academic Publishing, 2026

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    Librería: CitiRetail, Stevenage, Reino UnidoCitiRetail

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    Paperback. Condición: new. Paperback. Distributed computing is a computing model in which multiple interconnected computers work together to perform tasks as a single system, improving scalability, performance, and reliability. Its foundations include concepts such as transparency, communication through message passing or remote calls, synchronization, consistency management, and fault tolerance using replication and redundancy. Traditional architectures like client-server, peer-to-peer, clusters, and grids established the basis for sharing resources across networks. Emerging paradigms such as cloud computing, microservices, edge computing, serverless platforms, and blockchain have expanded distributed systems to support large-scale, real-time, and data-intensive applications. These advancements enable flexible, resilient, and efficient infrastructures that power modern technologies including big data analytics, IoT, and artificial intelligence services. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.

  • Idioma: Inglés

    Editorial: LAP LAMBERT Academic Publishing Feb 2026, 2026

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    Librería: buchversandmimpf2000, Emtmannsberg, BAYE, Alemaniabuchversandmimpf2000

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    EUR 79,90

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    Taschenbuch. Condición: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Distributed computing is a computing model in which multiple interconnected computers work together to perform tasks as a single system, improving scalability, performance, and reliability. Its foundations include concepts such as transparency, communication through message passing or remote calls, synchronization, consistency management, and fault tolerance using replication and redundancy. Traditional architectures like client-server, peer-to-peer, clusters, and grids established the basis for sharing resources across networks. Emerging paradigms such as cloud computing, microservices, edge computing, serverless platforms, and blockchain have expanded distributed systems to support large-scale, real-time, and data-intensive applications. These advancements enable flexible, resilient, and efficient infrastructures that power modern technologies including big data analytics, IoT, and artificial intelligence services.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 200 pp. Englisch.

  • Idioma: Inglés

    Editorial: LAP LAMBERT Academic Publishing, 2026

    6209674534 / 9786209674532

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    Librería: Majestic Books, Hounslow, Reino UnidoMajestic Books

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    EUR 146,96

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  • Idioma: Inglés

    Editorial: LAP LAMBERT Academic Publishing, 2026

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    Librería: Books Puddle, New York, NY, Estados Unidos de AmericaBooks Puddle

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    EUR 153,87

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  • Idioma: Inglés

    Editorial: LAP LAMBERT Academic Publishing, 2026

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    Librería: Biblios, frankfurt am main, HESSE, AlemaniaBiblios

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    EUR 148,03

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  • Idioma: Inglés

    Editorial: LAP LAMBERT Academic Publishing, 2026

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    Librería: AHA-BUCH GmbH, Einbeck, AlemaniaAHA-BUCH GmbH

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    EUR 166,47

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    Taschenbuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Distributed computing is a computing model in which multiple interconnected computers work together to perform tasks as a single system, improving scalability, performance, and reliability. Its foundations include concepts such as transparency, communication through message passing or remote calls, synchronization, consistency management, and fault tolerance using replication and redundancy. Traditional architectures like client-server, peer-to-peer, clusters, and grids established the basis for sharing resources across networks. Emerging paradigms such as cloud computing, microservices, edge computing, serverless platforms, and blockchain have expanded distributed systems to support large-scale, real-time, and data-intensive applications. These advancements enable flexible, resilient, and efficient infrastructures that power modern technologies including big data analytics, IoT, and artificial intelligence services.