Large-scale Graph Analysis: System, Algorithm and Optimization (Hardcover)

Yingxia Shao

ISBN 10: 9811539278 / ISBN 13: 9789811539275

Published by Springer Verlag, Singapore, Singapore, 2020

Hardcover. 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. 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. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Seller Inventory # 9789811539275

Bibliographic Details

Title: Large-scale Graph Analysis: System, ...
Publisher: Springer Verlag, Singapore, Singapore
Publication Date: 2020
Binding: Hardcover
Condition: new
Edition: 1st Edition