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Large-scale Graph Analysis: System, Algorithm and Optimization

By (author) Yingxia Shao, By (author) Bin Cui, By (author) Lei Chen

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normal price: R 5 483.95

Price: R 5 208.95


| 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 | This title will take longer to obtain, and should be delivered in 6-8 weeks
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


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Normally shipped | Available from overseas. Usually dispatched in 14 days
Readership Age |
Normal Price | R 7 110.95
Price | R 6 755.95 | on special |



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