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Record Nr. |
UNINA9910788199103321 |
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Autore |
Yang Yun |
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Titolo |
Reliability assurance of big data in the cloud : cost-effective replication-based storage / / Yun Yang, Dong Yuan, Wenhao Li ; Todd Green, acquiring editor ; Mark Rogers, designer |
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Pubbl/distr/stampa |
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Waltham, Massachusetts : , : Morgan Kaufmann, , 2015 |
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©2015 |
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ISBN |
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Edizione |
[1st edition] |
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Descrizione fisica |
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1 online resource (107 p.) |
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Disciplina |
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Soggetti |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Note generali |
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Description based upon print version of record. |
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Nota di bibliografia |
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Includes bibliographical references. |
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Nota di contenuto |
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Cover; 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 |
1.4 - 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 |
3.1.1 - 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 |
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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 |
3.2.4.2 - 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 |
4.2.3 - 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 |
6.2.2 - PRCR node |
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Sommario/riassunto |
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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 |
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