Reliability assurance of big data in the cloud cost-effective replication-based storage / by Wenhao Li, Yun Yang, Dong Yuan, Centre for Computing and Engineering Software Systems, School of Software and Electrical Engineering, Swinburne University of Technology Hawthorn, Melbourne, Australia.

Author/creator Li, Wenhao
Other author Yang, Yun (University lecturer)
Other author Yuan, Dong.
Format Electronic
Publication InfoAmsterdan ; Boston : Morgan Kaufman is an imprint of Elsevier, [2015]
Descriptionxii, 92 pages : illustrations ; 23 cm
Supplemental ContentFull text available from eBook - Computer Science 2015 [EBCCS15]
Supplemental ContentFull text available from Ebook Central - Academic Complete
Subjects

Contents Machine generated contents note: 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. 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. pulsar searching application process -- 3.1.2. 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 -- 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. 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 -- 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.
Bibliography noteIncludes bibliographical references (pages 83-86) and index.
Access restrictionAvailable only to authorized users.
Technical detailsMode of access: World Wide Web
Genre/formElectronic books.
LCCN 2014953490
ISBN9780128025727 (paperback)
ISBN0128025727 (paperback)

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