Salihoglu, Semih and Widom, Jennifer (2014) Optimizing Graph Algorithms on Pregel-like Systems. In: 40th International Conference on Very Large Data Bases, 1-5 September 2014, Hangzhou, China.
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We study the problem of implementing graph algorithms efficiently on Pregel- like systems, which can be surprisingly challenging. Standard graph algorithms in this setting can incur unnecessary inefficiencies such as slow convergence or high communication or computation cost, typically due to structural properties of the input graphs such as large diameters or skew in component sizes. We describe several optimization techniques to address these inefficiencies. Our most general technique is based on the idea of performing some serial computation on a tiny fraction of the input graph, complementing Pregel’s vertex-centric parallelism. We base our study on thorough implementations of several fundamental graph algorithms, some of which have, to the best of our knowledge, not been implemented on Pregel-like systems before. The algorithms and optimizations we describe are fully implemented in our open-source Pregel implementation. We present detailed experiments showing that our optimization techniques improve runtime significantly on a variety of very large graph datasets.
|Item Type:||Conference or Workshop Item (Paper)|
|Deposited By:||Semih Salihoglu|
|Deposited On:||13 Sep 2013 11:36|
|Last Modified:||10 Jan 2014 15:32|
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