06327cam a2200673Ii 4500 ocn898422471 OCoLC 20190328114809.0 m o d cr cnu---unuuu 141220t20142015ne ob 001 0 eng d EBLCP eng rda pn EBLCP N$T YDXCP OCLCQ TEFOD OPELS OCLCF DEBSZ TEFOD RRP TMC OCLCQ VGM MERUC REB U3W D6H CHVBK INT OCLCQ CUY ZCU ICG DKC OCLCO 900537860 9780128026687 (electronic bk.) 0128026685 (electronic bk.) 9780128025727 (OCoLC)898422471 (OCoLC)900537860 QA76.585 Online Book COM 013000 bisacsh COM 014000 bisacsh COM 018000 bisacsh COM 067000 bisacsh COM 032000 bisacsh COM 037000 bisacsh COM 052000 bisacsh 004.6782 23 Li, Wenhao, author. Reliability assurance of big data in the cloud : cost-effective replication-based storage / [electronic resource] by Wenhao Li, Yun Yang, Dong Yuan. Amsterdam : Morgan Kaufmann, 2014 �2015 1 online resource (107 pages) text txt rdacontent computer c rdamedia online resource cr rdacarrier Includes bibliographical references and index. 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. 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. 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. 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. Cloud computing. Big data. COMPUTERS Computer Literacy. bisacsh COMPUTERS Computer Science. bisacsh COMPUTERS Data Processing. bisacsh COMPUTERS Hardware General. bisacsh COMPUTERS Information Technology. bisacsh COMPUTERS Machine Theory. bisacsh COMPUTERS Reference. bisacsh Big data. fast (OCoLC)fst01892965 Cloud computing. fast (OCoLC)fst01745899 Cloud Computing. (DNLM)D000067917 Electronic books. Electronic books. lcgft Yang, Yun (University lecturer), author. Yuan, Dong, author. Print version: Yang, Yun. Reliability Assurance of Big Data in the Cloud : Cost-Effective Replication-Based Storage. Burlington : Elsevier Science, �2014 9780128025727 ScienceDirect http://www.sciencedirect.com/science/book/9780128025727 247029 247029