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Reliability assurance of big data in the cloud : cost-effective replication-based storage /
With the rapid growth of Cloud computing, the size of Cloud data is expanding at a dramatic speed. A huge amount of data is generated and processed by Cloud applications, putting a higher demand on cloud storage. While data reliability should already be a requirement, data in the Cloud needs to be s...
| Clasificación: | Libro Electrónico |
|---|---|
| Autores principales: | , , |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Amsterdam :
Morgan Kaufmann,
[2014]
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| Temas: | |
| Acceso en línea: | Texto completo |
MARC
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| 100 | 1 | |a Li, Wenhao, |e author. | |
| 245 | 1 | 0 | |a Reliability assurance of big data in the cloud : |b cost-effective replication-based storage / |c by Wenhao Li, Yun Yang, Dong Yuan. |
| 264 | 1 | |a Amsterdam : |b Morgan Kaufmann, |c [2014] | |
| 264 | 4 | |c �2015 | |
| 300 | |a 1 online resource (107 pages) | ||
| 336 | |a text |b txt |2 rdacontent | ||
| 337 | |a computer |b c |2 rdamedia | ||
| 338 | |a online resource |b cr |2 rdacarrier | ||
| 504 | |a Includes bibliographical references and index. | ||
| 520 | |a With the rapid growth of Cloud computing, the size of Cloud data is expanding at a dramatic speed. A huge amount of data is generated and processed by Cloud applications, putting a higher demand on cloud storage. While data reliability should already be a requirement, data in the Cloud needs to be stored in a highly cost-effective manner. This book focuses on the trade-off between data storage cost and data reliability assurance for big data in the Cloud. Throughout the whole Cloud data lifecycle, four major features are presented: first, a novel generic data reliability model for describing data reliability in the Cloud; second, a minimum replication calculation approach for meeting a given data reliability requirement to facilitate data creation; third, a novel cost-effective data reliability assurance mechanism for big data maintenance, which could dramatically reduce the storage space needed in the Cloud; fourth, a cost-effective strategy for facilitating data creation and recovery, which could significantly reduce the energy consumption during data transfer. | ||
| 505 | 0 | |a 1.1. Data reliability in the Cloud -- 1.2. Background of Cloud storage -- 1.2.1. Distinctive features of Cloud storage systems -- 1.2.2. The Cloud data life cycle -- 1.3. Key issues of research -- 1.4. Book overview -- 2.1. Data reliability assurance in hardware -- 2.1.1. Disk -- 2.1.2. Other storage medias -- 2.2. Data reliability assurance in software -- 2.2.1. Replication for data reliability -- 2.2.2. Erasure coding for data reliability -- 2.3. Data transfer for distributed systems -- 2.4. Summary -- 3.1. Motivating example -- 3.1.1. The pulsar searching application process -- 3.1.2. The pulsar searching application data flow -- 3.1.3. Storing pulsar searching data in the Cloud -- 3.2. Problem analysis -- 3.2.1. Two major factors of Cloud storage cost -- 3.2.2. Data storage devices and schemes -- 3.2.3. Cloud network and data transfer activities -- 3.2.4. Research issues -- 3.3. Summary -- 4.1. Properties of the data reliability model -- 4.1.1. Reliability metrics. | |
| 505 | 8 | |a 4.1.2. Data reliability model type -- 4.1.3. Failure rate pattern of storage devices -- 4.2. Generic data reliability model -- 4.2.1. Data reliability with static disk failure rate -- 4.2.2. Data reliability with variable disk failure rate -- 4.2.3. Generic data reliability model for multi-replicas -- 4.3. Summary -- 5.1. The minimum replication calculation approach -- 5.1.1. Minimum replication calculation formulas -- 5.1.2. Optimization of the minimum replication calculation formulas -- 5.2. Minimum replication benchmark -- 5.3. Evaluation of the minimum replication calculation approach -- 5.4. Summary -- 6.1. Proactive replica checking -- 6.2. Overview of PRCR -- 6.2.1. User interface -- 6.2.2. PRCR node -- 6.3. Working process of PRCR -- 6.4. Optimization algorithms in PRCR -- 6.4.1. Minimum replication algorithm -- 6.4.2. Metadata distribution algorithm -- 6.5. Evaluation of PRCR -- 6.5.1. Performance of PRCR -- 6.5.2. Cost-effectiveness of PRCR. | |
| 505 | 8 | |a 6.5.3. Summary of the evaluation -- 6.6. Summary -- 7.1. Determining the deadline for data creation and data recovery -- 7.2. Cloud network model -- 7.2.1. Overall network model -- 7.2.2. Pipeline model -- 7.2.3. Pipeline agenda model -- 7.2.4. Overall agenda model -- 7.3. Energy consumption model for Cloud data transfer -- 7.4. Novel cost-effective data transfer strategy LRCDT -- 7.5. Evaluation of LRCDT -- 7.5.1. Parameters of simulation -- 7.5.2. Energy consumption comparison -- 7.5.3. Task completion time comparison -- 7.6. Summary -- 8.1. Summary of this book -- 8.2. Key contributions of this book -- 8.3. Further discussion and future work -- 8.3.1. Further discussions -- 8.3.2. Future work. | |
| 650 | 0 | |a Cloud computing. | |
| 650 | 0 | |a Big data. | |
| 650 | 1 | 2 | |a Cloud Computing |0 (DNLM)D000067917 |
| 650 | 6 | |a Infonuagique. |0 (CaQQLa)000263273 | |
| 650 | 6 | |a Donn�ees volumineuses. |0 (CaQQLa)000284673 | |
| 650 | 7 | |a COMPUTERS |x Computer Literacy. |2 bisacsh | |
| 650 | 7 | |a COMPUTERS |x Computer Science. |2 bisacsh | |
| 650 | 7 | |a COMPUTERS |x Data Processing. |2 bisacsh | |
| 650 | 7 | |a COMPUTERS |x Hardware |x General. |2 bisacsh | |
| 650 | 7 | |a COMPUTERS |x Information Technology. |2 bisacsh | |
| 650 | 7 | |a COMPUTERS |x Machine Theory. |2 bisacsh | |
| 650 | 7 | |a COMPUTERS |x Reference. |2 bisacsh | |
| 650 | 7 | |a Big data |2 fast |0 (OCoLC)fst01892965 | |
| 650 | 7 | |a Cloud computing |2 fast |0 (OCoLC)fst01745899 | |
| 700 | 1 | |a Yang, Yun |c (University lecturer), |e author. | |
| 700 | 1 | |a Yuan, Dong, |e author. | |
| 776 | 0 | 8 | |i Print version: |a Yang, Yun. |t Reliability Assurance of Big Data in the Cloud : Cost-Effective Replication-Based Storage. |d Burlington : Elsevier Science, �2014 |z 9780128025727 |
| 856 | 4 | 0 | |u https://sciencedirect.uam.elogim.com/science/book/9780128025727 |z Texto completo |