Reliability Assurance of Big Data in the Cloud: Cost-Effective Replication-Based Storage (Paperback)

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.

• 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

隨著雲計算的快速發展，雲端數據的規模正在以驚人的速度擴大。大量的數據由雲應用生成和處理，對雲端存儲提出了更高的需求。雖然數據可靠性已經是一個要求，但雲端數據需要以高度具有成本效益的方式進行存儲。本書關注的是在雲端大數據中數據存儲成本和數據可靠性保證之間的權衡。在整個雲端數據生命周期中，介紹了四個主要特點：首先，一種新型的通用數據可靠性模型，用於描述雲端數據的可靠性；其次，一種最小複製計算方法，以滿足給定的數據可靠性要求，以促進數據創建；第三，一種新型的成本效益數據可靠性保證機制，用於大數據維護，可以大幅減少雲端所需的存儲空間；第四，一種成本效益的數據創建和恢復策略，可以顯著降低數據傳輸期間的能源消耗。

本書還包括以下內容：
- 以可變磁盤速率捕捉數據可靠性並比較虛擬磁盤和物理磁盤
- 提供減少基於雲端的存儲成本和能源消耗的方法
- 提出最小複製基準，用於評估各種基於複製的數據存儲方法的數據可靠性要求。