

Large-scale Graph Analysis: System, Algorithm and Optimization - Shao, Yingxia
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Présentation Large - Scale Graph Analysis: System, Algorithm And Optimization Format Broché
- Livre InformatiqueAuteur(s) : Shao, Yingxia - Chen, Lei - Cui, BinEditeur : Springer SingaporeLangue : AnglaisParution : 01/07/2021Format : Moyen, de 350g à 1kgNombre de pages : 160Expédition :...
Résumé :
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.
Biographie:
Database technical committee.
Bin Cui is a Professor at the School of EECS and Director of the Institute of Network Computing and Information Systems, at ...
Sommaire: Yingxia Shao is a Research Associate Professor at the School of Computer Science, Beijing University of Posts and Telecommunications. His research interests include large-scale graph analysis, knowledge graph management and representation, and parallel computing. He obtained his PhD from Peking University in 2016, under the supervision of Prof. Bin Cui. He worked with Prof. Lei Chen as a visiting scholar at HKUST in 2013 and 2014. He has served in the Technical Program Committee of various international conferences including VLDB, KDD, AAAI, IJCAI, DASFAA, BigData, APWeb-WAIM and MDM. He is serving as a reviewer of international journals including VLDBJ, DAPD, WWWJ, DSE. He was selected for a Google PhD Fellowship (2014), MSRA Fellowship (2014), PhD National Scholarship of MOE China (2014), ACM SIGMOD China Doctoral Dissertation Award (2017). He is currently a member of the ACM, IEEE, CCF, and China  ...
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