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-aw...
| Main Authors: | , , |
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| Format: | eBook |
| Language: | English |
| Published: |
Singapore
Springer Nature Singapore
2020, 2020
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| Edition: | 1st ed. 2020 |
| Series: | Big Data Management
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| Subjects: | |
| Online Access: | |
| Collection: | Springer eBooks 2005- - Collection details see MPG.ReNa |
Table of Contents:
- 1. Introduction
- 2. Graph Computing Systems for Large-Scale Graph Analysis
- 3. Partition-Aware Graph Computing System
- 4. Efficient Parallel Subgraph Enumeration
- 5. Efficient Parallel Graph Extraction
- 6. Efficient Parallel Cohesive Subgraph Detection
- 7. Conclusions