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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Wolf, J.L. Dias, D.M. Yu, P.S. |
| Copyright Year | 1990 |
| Description | Author affiliation: IBM Thomas J Watson Res. Center, Yorktown Heights, NY, USA (Wolf, J.L.; Dias, D.M.; Yu, P.S.) |
| Abstract | A parallel sort-merge-join algorithm that uses a divide-and-conquer approach to address the data skew problem is proposed. The algorithm adds an extra scheduling phase to the usual sort, transfer and join phases. During the scheduling phase, a parallelizable optimization algorithm, using the output of the sort phase, attempts to balance the load across the multiple processors in the subsequent join phase. The algorithm naturally identifies the largest skew elements and assigns each of them to an optimal number of processors. Assuming a Zipf-like distribution for data skew, the algorithm is shown to achieve very good load balancing for the join phase in a CPU-bound environment and to be very robust relative to the degree of data skew and the total number of processors.< |
| Starting Page | 103 |
| Ending Page | 115 |
| File Size | 902816 |
| Page Count | 13 |
| File Format | |
| ISBN | 0818620528 |
| DOI | 10.1109/DPDS.1990.113702 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 1990-07-02 |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Scheduling algorithm Processor scheduling Relational databases Parallel processing Load management Robustness Delay Parallel architectures Proposals Prototypes |
| Content Type | Text |
| Resource Type | Article |
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