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| Content Provider | ACM Digital Library |
|---|---|
| Author | Tian, Yuanyuan Yan, Da Cheng, James Bu, Yingyi Deshpande, Amol |
| Abstract | In recent years we have witnessed a surging interest in developing Big Graph processing systems. To date, tens of Big Graph systems have been proposed. This tutorial provides a timely and comprehensive review of existing Big Graph systems, and summarizes their pros and cons from various perspectives. We start from the existing vertex-centric systems, which which a programmer thinks intuitively like a vertex when developing parallel graph algorithms. We then introduce systems that adopt other computation paradigms and execution settings. The topics covered in this tutorial include programming models and algorithm design, computation models, communication mechanisms, out-of-core support, fault tolerance, dynamic graph support, and so on. We also highlight future research opportunities on Big Graph analytics. |
| Starting Page | 2241 |
| Ending Page | 2243 |
| Page Count | 3 |
| File Format | |
| ISBN | 9781450335317 |
| DOI | 10.1145/2882903.2912566 |
| Language | English |
| Publisher | Association for Computing Machinery (ACM) |
| Publisher Date | 2016-06-26 |
| Publisher Place | New York |
| Access Restriction | Subscribed |
| Subject Keyword | Pregel Vertex-centric Graph Graphlab Platform System |
| Content Type | Text |
| Resource Type | Article |
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