Large-scale Graph Analysis: System, Algorithm and Optimization (Big Data Management)
by Yingxia Shao, Bin Cui and Lei Chen
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Large-scale Graph Analysis
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.
The book, Large-scale Graph Analysis: System, Algorithm and Optimization (Big Data Management) [Bulk, Wholesale, Quantity] ISBN#9789811539305 in Paperback by Yingxia Shao, Bin Cui, Lei Chen may be ordered in bulk quantities. Minimum starts at 25 copies. Availability based on publisher status and quantity being ordered.
Details
- Publisher
- Springer Nature Singapore
- Authors
- Yingxia Shao, Bin Cui, Lei Chen
- Format
- Paperback
- Published
- Jul 2, 2021
- ISBN-13
- 9789811539305
- Pages
- 146
- Printing
- Printed on demand
Large-scale Graph Analysis in bulk: pricing
Volume pricing applies automatically in your cart. No codes, no account needed.
| Copies | Price per copy | You save |
|---|---|---|
| 25 – 49 | $149.59 | 12% off list |
| 50 – 99 | $147.89 | 13% off list |
| 100+ | $146.19 | 14% off list |
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