LEADER 05511nam 2200709 450 001 9910788199103321 005 20200520144314.0 010 $a0-12-802668-5 035 $a(CKB)2670000000587373 035 $a(EBL)1888753 035 $a(SSID)ssj0001453798 035 $a(PQKBManifestationID)11952213 035 $a(PQKBTitleCode)TC0001453798 035 $a(PQKBWorkID)11493117 035 $a(PQKB)11414007 035 $a(Au-PeEL)EBL1888753 035 $a(CaPaEBR)ebr10999722 035 $a(CaONFJC)MIL681466 035 $a(OCoLC)898422471 035 $a(CaSebORM)9780128025727 035 $a(MiAaPQ)EBC1888753 035 $a(PPN)19431264X 035 $a(EXLCZ)992670000000587373 100 $a20150110h20152015 uy 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 10$aReliability assurance of big data in the cloud $ecost-effective replication-based storage /$fYun Yang, Dong Yuan, Wenhao Li ; Todd Green, acquiring editor ; Mark Rogers, designer 205 $a1st edition 210 1$aWaltham, Massachusetts :$cMorgan Kaufmann,$d2015. 210 4$dİ2015 215 $a1 online resource (107 p.) 300 $aDescription based upon print version of record. 311 $a0-12-802572-7 311 $a1-322-50184-X 320 $aIncludes bibliographical references. 327 $aCover; Title page; Copyright Page; Contents; About the Authors; Preface; Acknowledgments; Chapter 1 - Introduction; 1.1 - Data reliability in the Cloud; 1.2 - Background of Cloud storage; 1.2.1 - Distinctive features of Cloud storage systems; 1.2.1.1 - On-demand self-service and pay-as-you-go pricing model; 1.2.1.2 - Redundant and scalable virtualized resources; 1.2.1.3 - Dedicated Cloud network; 1.2.1.4 - Big data; 1.2.2 - The Cloud data life cycle; 1.2.2.1 - Data creation; 1.2.2.2 - Data maintenance; 1.2.2.3 - Data recovery; 1.2.2.4 - Data deletion; 1.3 - Key issues of research 327 $a1.4 - Book overviewChapter2 - Literature review; 2.1 - Data reliability assurance in hardware; 2.1.1 - Disk; 2.1.1.1 - Disk failure modes; 2.1.1.1.1 - Partial disk failures; 2.1.1.1.2 - Permanent disk failures; 2.1.1.2 - Disk reliability metrics; 2.1.1.3 - Disk reliability patterns; 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; Chapter 3 - Motivating example and problem analysis; 3.1 - Motivating example 327 $a3.1.1 - The pulsar searching application process3.1.2 - 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; 3.2.3.1 - Case for data maintenance within the data center; 3.2.3.2 - Case for data processing within the data center; 3.2.3.3 - Case for across data centers with DCI activities; 3.2.4 - Research issues; 3.2.4.1 - Data reliability model 327 $a3.2.4.2 - Minimum replication calculation and benchmark3.2.4.3 - Cost-effective data reliability assurance mechanism; 3.2.4.4 - Cost-effective data transfer strategy for data creation and data recovery; 3.3 - Summary; Chapter 4 - Generic data reliability model in the cloud; 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 327 $a4.2.3 - Generic data reliability model for multi-replicas4.3 - Summary; Chapter 5 - Minimum replication for meeting the data reliability requirement; 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; Chapter 6 - Cost-effective data reliability assurance for data maintenance; 6.1 - Proactive replica checking; 6.2 - Overview of PRCR; 6.2.1 - User interface 327 $a6.2.2 - PRCR node 330 $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 606 $aCloud computing 606 $aBig data 615 0$aCloud computing. 615 0$aBig data. 676 $a004.6782 700 $aYang$b Yun$01557303 702 $aYuan$b Dong 702 $aLi$b Wenhao 702 $aGreen$b Todd 702 $aRogers$b Mark 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910788199103321 996 $aReliability assurance of big data in the cloud$93820701 997 $aUNINA