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Computation and storage in the cloud : understanding the trade-offs /
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...
| Clasificación: | Libro Electrónico |
|---|---|
| Autor principal: | |
| Otros Autores: | , |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Chennai ; Oxford :
Elsevier,
2013.
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| Temas: | |
| Acceso en línea: | Texto completo (Requiere registro previo con correo institucional) |
MARC
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| 100 | 1 | |a Yuan, Dong. | |
| 245 | 1 | 0 | |a Computation and storage in the cloud : |b understanding the trade-offs / |c Dong Yuan, Yun Yang and Jinjun Chen. |
| 260 | |a Chennai ; |a Oxford : |b Elsevier, |c 2013. | ||
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| 520 | |a 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 usersDescribes several novel strategies for storing application datasets in the cloudIncludes real-world case studies of scientific research applications 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. | ||
| 504 | |a Includes bibliographical references. | ||
| 505 | 0 | |a 1. Introduction -- 2. Literature review -- 3. Motivating example and research issues -- 4. Cost model of data set storage in the cloud -- 5. Minimum cost benchmarking approaches -- 6. Cost-effective data set storage strategies -- 7. Experiments and evaluations -- 8. Conclusions and contributions. | |
| 590 | |a O'Reilly |b O'Reilly Online Learning: Academic/Public Library Edition | ||
| 650 | 0 | |a Cloud computing. | |
| 650 | 0 | |a Virtual storage (Computer science) | |
| 650 | 6 | |a Infonuagique. | |
| 650 | 6 | |a Ordinateurs |x Mémoires virtuelles. | |
| 650 | 7 | |a COMPUTERS |x Networking |x Intranets & Extranets. |2 bisacsh | |
| 650 | 7 | |a COMPUTERS |x Web |x General. |2 bisacsh | |
| 650 | 7 | |a Cloud computing |2 fast | |
| 650 | 7 | |a Virtual storage (Computer science) |2 fast | |
| 650 | 7 | |a Cloud Computing |2 gnd | |
| 650 | 7 | |a Speicher |g Informatik |2 gnd | |
| 700 | 1 | |a Yang, Yun. | |
| 700 | 1 | |a Chen, Jinjun. | |
| 776 | 0 | 8 | |i Print version: |a Yuan, Dong. |t Computation and storage in the cloud. |d Chennai ; Oxford : Elsevier, 2013 |z 9780124077676 |w (OCoLC)818449872 |
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