Reliability assurance of big data in the cloud : cost-effective replication-based storage /

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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 s...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autores principales: Li, Wenhao (Autor), Yang, Yun (University lecturer) (Autor), Yuan, Dong (Autor)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Amsterdam : Morgan Kaufmann, [2014]
Temas:
Cloud computing.
Big data.
Cloud Computing
Infonuagique.
Donn�ees volumineuses.
COMPUTERS > Computer Literacy.
COMPUTERS > Computer Science.
COMPUTERS > Data Processing.
COMPUTERS > Hardware > General.
COMPUTERS > Information Technology.
COMPUTERS > Machine Theory.
COMPUTERS > Reference.
Big data
Cloud computing
Acceso en línea:Texto completo
Tabla de Contenidos:
  • 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.

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