Large-scale Graph Analysis: System, Algorithm and Optimization Paperback / softback
by Yingxia Shao, Bin Cui, Lei Chen
Part of the Big Data Management series
Paperback / softback
Description
This book introduces readers to a workload-aware methodology for large-scale graph algorithm optimization in graph-computing systems, and proposes several optimization techniques that can enable these systems to handle advanced graph algorithms efficiently.
More concretely, it proposes a workload-aware cost model to guide the development of high-performance algorithms.
On the basis of the cost model, the book subsequently presents a system-level optimization resulting in a partition-aware graph-computing engine, PAGE.
In addition, it presents three efficient and scalable advanced graph algorithms – the subgraph enumeration, cohesive subgraph detection, and graph extraction algorithms. This book offers a valuable reference guide for junior researchers, covering the latest advances in large-scale graph analysis; and for senior researchers, sharing state-of-the-art solutions based on advanced graph algorithms.
In addition, all readers will find a workload-aware methodology fordesigning efficient large-scale graph algorithms.
Information
-
Available to Order - This title is available to order, with delivery expected within 2 weeks
- Format:Paperback / softback
- Pages:146 pages, 30 Illustrations, color; 48 Illustrations, black and white; XIII, 146 p. 78 illus., 30 il
- Publisher:Springer Verlag, Singapore
- Publication Date:02/07/2021
- Category:
- ISBN:9789811539305
Other Formats
- Hardback from £123.05
Information
-
Available to Order - This title is available to order, with delivery expected within 2 weeks
- Format:Paperback / softback
- Pages:146 pages, 30 Illustrations, color; 48 Illustrations, black and white; XIII, 146 p. 78 illus., 30 il
- Publisher:Springer Verlag, Singapore
- Publication Date:02/07/2021
- Category:
- ISBN:9789811539305
