Large-scale Graph Analysis: System, Algorithm and Optimization

Language: English

Published by Springer Nature Singapore Jul 2021, 2021

9811539308 / 9789811539305

Series: Book 2 of 13 - Big Data Management

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This item is printed on demand - it takes 3-4 days longer - Neuware -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. 160 pp. Englisch.…

Seller Inventory # 9789811539305

Title
Large-scale Graph Analysis: System, Algorithm and Optimization
Author
Yingxia Shao
Publisher
Springer Nature Singapore Jul 2021
Publication year
2021
Condition
Neu
Binding
Taschenbuch
Language
English
ISBN 10
9811539308
ISBN 13
9789811539305
Item weight
254 grams
Dimensions
235x155x9 mm
Series
Book 2 of 13: Big Data Management

BuchWeltWeit Ludwig Meier e.K.

Bergisch Gladbach, Germany

5-star seller

AbeBooks seller since January 11, 2012

Shipping rates from Germany to U.S.A.

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