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books
| book details |
Large-scale Graph Analysis: System, Algorithm and Optimization
By (author) Yingxia Shao, By (author) Bin Cui, By (author) Lei Chen
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| on special |
normal price: R 6 577.95
Price: R 6 248.95
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| book 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.
| product details |
Normally shipped |
Publisher | Springer Verlag, Singapore
Published date | 2 Jul 2020
Language |
Format | Hardback
Pages | 146
Dimensions | 235 x 155 x 0mm (L x W x H)
Weight | 0g
ISBN | 978-9-8115-3927-5
Readership Age |
BISAC | computers / database management / general
| other options |
Normally shipped |
Readership Age |
Normal Price | R 8 274.95
Price | R 7 861.95
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