You might also like

More about Efficient Failure Recovery in Large-scale Graph Processing Systems

• Book details
• Synopsis
• Trending among others

You get 114 loyalty points

Book synopsis

Wide range of applications in Machine Learning and Data Mining (MLDM) area have increasing demand on utilizing distributed environments to solve certain problems. It naturally results in the urgent requirements on how to ensure the reliability of large-scale graph processing systems. In such scenarios, machine failures are no longer uncommon incidents. Traditional rollback recovery in distributed systems has been studied in various forms by a wide range of researchers and engineers. There are plenty of algorithms invented in the research community, but not many of them are actually applied in real systems. In this book, we proposed two failure recovery mechanisms specially designed for large-scale graph processing systems. To better facilitate the recovery process without bringing in too much overhead during the normal execution of the large-scale distributed systems, our mechanisms are designed based on an in-depth investigation of the characteristics of large-scale graph processing systems and their applications.

Book details

Book category Books in English Computing & information technology Information technology: general issues

• Full title: Efficient Failure Recovery in Large-scale Graph Processing Systems
• Author: Yijin Wu
• Language: English
• Binding: Paperback
• Number of pages: 88
• EAN: 9783639719048
• ISBN: 3639719042
• ID: 07173913
• Publisher: Scholars' Press
• Weight: 141 g
• Dimensions: 229 × 152 × 5 mm
• Date of publishing: 19. June 2014

Trending among others

---

---

---