Large-scale Graph Analysis: System, Algorithm and Optimization
Yingxia Shao, Bin Cui, Lei Chen
Informasi Umum
Kode
22.21.632
Klasifikasi
005.133 - Special programming techniques-specific programming language
Jenis
Buku - Elektronik (E-Book)
Subjek
Programming Language
No. Rak
2
Dilihat
6 kali
Informasi Lainnya
Abstraksi
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.
Koleksi & Sirkulasi
Tersedia 1 dari total 1 Koleksi
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Pengarang
| Nama | Yingxia Shao, Bin Cui, Lei Chen |
| Jenis | Perorangan |
| Penyunting | |
| Penerjemah |
Penerbit
| Nama | Springer International Publishing |
| Kota | Cham, Switzerland |
| Tahun | 2020 |
Sirkulasi
| Harga sewa | IDR 0,00 |
| Denda harian | IDR 1.000,00 |
| Jenis | Non-Sirkulasi |
