Introduction

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.

Key Features

Throughout the whole Cloud data lifecycle, four major features are presented:

• A novel generic data reliability model for describing data reliability in the Cloud;
• A minimum replication calculation approach for meeting a given data reliability requirement to facilitate data creation;
• A novel cost-effective data reliability assurance mechanism for big data maintenance, which could dramatically reduce the storage space needed in the Cloud;
• A cost-effective strategy for facilitating data creation and recovery, which could significantly reduce the energy consumption during data transfer.

Additional Benefits

- Captures data reliability with variable disk rates and compares virtual to physical disks

- Offers methods for reducing cloud-based storage cost and energy consumption

- Presents a minimum replication benchmark for data reliability requirements to evaluate various replication-based data storage approaches