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Large-scale Graph Analysis: System, Algorithm and Optimization (Big Data Management)

Knowledge Management

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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 Specifications

Format: paperback
ASIN: 9811539308
Category: Books > Subjects > Business, Finance & Law > Management > Knowledge Management
Domain: Amazon UK
Release Date: 02 July 2021
Listed Since: 05 June 2021

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Large-scale Graph Analysis: System, Algorithm and Optimization (Big Data Management)

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