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Large-scale Graph Analysis: System, Algorithm and Optimization

Häftad, Engelska, 2021

AvYingxia Shao,Bin Cui,Lei Chen

2 149 kr

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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.

Produktinformation

  • Utgivningsdatum2021-07-02
  • Mått155 x 235 x 9 mm
  • Vikt254 g
  • FormatHäftad
  • SpråkEngelska
  • SerieBig Data Management
  • Antal sidor146
  • FörlagSpringer Verlag, Singapore
  • ISBN9789811539305
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