Abstract
The explosive growth of "big data" is giving rise to a new breed of large scale graph systems, such as Pregel. This poster describes our ongoing work in characterizing and minimizing the communication cost of Bulk Synchronous Parallel (BSP) graph mining systems, like Pregel, when scaling to 4,096 compute nodes. Existing implementations generally assume a fixed communication cost. This is sufficient in small deployments as the BSP programming model (i.e., overlapping computation and communication) masks small variations in the underlying network. In large scale deployments, such variations can dominate the overall runtime characteristics. In this poster, we first quantify the impact of network communication on the total compute time of a Pregel system. We then propose an efficient vertex placement strategy that subsamples highly connected vertices and applies the Reverse Cuthill-McKee (RCM) algorithm to efficiently partition the input graph and place partitions closer to each other based on their expected communication patterns. We finally describe a vertex replication strategy to further reduce communication overhead.
Original language | English (US) |
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Title of host publication | Proceedings of the SIGCOMM 2013 and Best Papers of the Co-Located Workshops |
Pages | 501-502 |
Number of pages | 2 |
Volume | 43 |
Edition | 4 |
DOIs | |
State | Published - 2013 |
Event | Annual Conference of the ACM Special Interest Group on Data Communication on the Applications, Technologies, Architectures, and Protocols for Computer Communication, ACM SIGCOMM 2013 - Hong Kong, China Duration: Aug 12 2013 → Aug 16 2013 |
Other
Other | Annual Conference of the ACM Special Interest Group on Data Communication on the Applications, Technologies, Architectures, and Protocols for Computer Communication, ACM SIGCOMM 2013 |
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Country | China |
City | Hong Kong |
Period | 08/12/13 → 08/16/13 |
Keywords
- bulk synchronous parallel
- extreme scaling
- graph mining systems
- network topology
- vertex placement
ASJC Scopus subject areas
- Software
- Computer Networks and Communications