Téléchargez le livre : Large-scale Graph Analysis: System, Algorithm and Optimization

Large-scale Graph Analysis: System, Algorithm and Optimization

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Éditeur :

Springer


Collection :

Big Data Management

Paru le : 2020-07-01

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Description

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.
Pages
146 pages
Collection
Big Data Management
Parution
2020-07-01
Marque
Springer
EAN papier
9789811539275
EAN PDF
9789811539282
Informations sur l'ebook
Nombre pages copiables
1
Nombre pages imprimables
14
Taille du fichier
5898 Ko
Prix
147,69 €
EAN EPUB
9789811539282
Informations sur l'ebook
Nombre pages copiables
1
Nombre pages imprimables
14
Taille du fichier
12012 Ko
Prix
147,69 €

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