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

Serie: Big Data Management 

Forfatter:

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Forfatter: , og
Innbinding: Innbundet
Utgivelsesår: 2020
Antall sider: 146
Forlag: Springer Verlag, Singapore
Språk: Engelsk
Serie:
ISBN/EAN: 9789811539275
Kategori: Data og Naturvitenskap
Omtale Large-scale Graph Analysis: System, Algorithm and Optimization
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.

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