Isbn: 9780124077676 - computation and storage in the cloud: understanding the trade-offs (elsevier insights) (15 resultados)

Paperback. Condición: Very Good. By proposing innovative concepts, theorems and algorithms, this book helps to bring the cost down for both cloud users and service providers to run computation and data intensive scientific applications in the cloud. It describes several novel strategies for storing application datasets in the cloud.…

Condición: Good. Has some wear and creases. Has a remainder mark. paperback Used - Good 2013.

Paperback. Condición: Very Good. By proposing innovative concepts, theorems and algorithms, this book helps to bring the cost down for both cloud users and service providers to run computation and data intensive scientific applications in the cloud. It describes several novel strategies for storing application datasets in the cloud.…

Condición: New.

Condición: As New. Unread book in perfect condition.

Paperback or Softback. Condición: New. Computation and Storage in the Cloud: Understanding the Trade-Offs. Book.

Condición: New. In English.

Condición: New.

PF. Condición: New.

Condición: As New. Unread book in perfect condition.

Taschenbuch. Condición: Neu. Computation and Storage in the Cloud | Understanding the Trade-Offs | Dong Yuan (u. a.) | Taschenbuch | Einband - flex.(Paperback) | Englisch | 2013 | Elsevier Inc | EAN 9780124077676 | Verantwortliche Person für die EU: Kolibri 360 GmbH, Ettore-Bugatti-Str. 6-14, 51149 Köln, produktsicherheit[at]kolibri360[dot]de | Anbieter: preigu.…

Condición: New. Covers cost models and benchmarking that explain the necessary tradeoffs for both cloud providers and users Describes several novel strategies for storing application datasets in the cloud Includes real-world case studies of scie.

Taschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Computation and Storage in the Cloud is the first comprehensive and systematic work investigating the issue of computation and storage trade-off in the cloud in order to reduce the overall application cost. Scientific applications are usually computation and data intensive, where complex computation tasks take a long time for execution and the generated datasets are often terabytes or petabytes in size. Storing valuable generated application datasets can save their regeneration cost when they are reused, not to mention the waiting time caused by regeneration. However, the large size of the scientific datasets is a big challenge for their storage. By proposing innovative concepts, theorems and algorithms, this book will help bring the cost down dramatically for both cloud users and service providers to run computation and data intensive scientific applications in the cloud. Covers cost models and benchmarking that explain the necessary tradeoffs for both cloud providers and users Describes several novel strategies for storing application datasets in the cloud Includes real-world case studies of scientific research applications 128 pp. Englisch.…

Paperback / softback. Condición: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days.

Taschenbuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Computation and Storage in the Cloud is the first comprehensive and systematic work investigating the issue of computation and storage trade-off in the cloud in order to reduce the overall application cost. Scientific applications are usually computation and data intensive, where complex computation tasks take a long time for execution and the generated datasets are often terabytes or petabytes in size. Storing valuable generated application datasets can save their regeneration cost when they are reused, not to mention the waiting time caused by regeneration. However, the large size of the scientific datasets is a big challenge for their storage. By proposing innovative concepts, theorems and algorithms, this book will help bring the cost down dramatically for both cloud users and service providers to run computation and data intensive scientific applications in the cloud. Covers cost models and benchmarking that explain the necessary tradeoffs for both cloud providers and users Describes several novel strategies for storing application datasets in the cloud Includes real-world case studies of scientific research applications. …