Large-scale graph analysis : system, algorithm and optimization / Yingxia Shao, Bin Cui, Lei Chen.

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Large-scale graph analysis : system, algorithm and optimization / Yingxia Shao, Bin Cui, Lei Chen.

9789811539282 (electronic book)
9811539286 (electronic book)
9811539278
9789811539275

Singapore : Springer, 2020.

English

1 online resource

10.1007/978-981-15-3

QA166.245

518/.1

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 for designing efficient large-scale graph algorithms.

Includes bibliographical references.

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Print version: 9789811539275

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