Name
Abstract | ||
|---|---|---|
Inefficient bandwidth sharing in a datacenter network, between different application frameworks, e.g., MapReduce and Spark, can lead to inelastic and skewed usage of link bandwidth and increased completion times for the applications. Existing work, however, either solely focuses on managing computation and storage resources or controlling only sending/receiving rate at hosts. In this paper, we pre... |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1109/TPDS.2017.2788003 | IEEE Transactions on Parallel and Distributed Systems |
Keywords | Field | DocType |
Bandwidth,Computational modeling,Resource management,Channel allocation,Multiplexing,Processor scheduling,Data transfer | Approximation algorithm,Computer science,Bandwidth allocation,Bandwidth (signal processing),Channel allocation schemes,Optimization problem,Bandwidth management,Distributed computing,Speedup,Network performance | Journal |
Volume | Issue | ISSN |
29 | 5 | 1045-9219 |
Citations | PageRank | References |
0 | 0.34 | 33 |
Authors | ||
8 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| wenxin li | 1 | 35 | 15.85 |
| Deke Guo | 2 | 75 | 25.36 |
| Alex X. Liu | 3 | 2727 | 174.92 |
| Keqiu Li | 4 | 1415 | 162.02 |
| heng qi | 5 | 44 | 10.17 |
| Song Guo | 6 | 3431 | 278.71 |
| Ali Munir | 7 | 121 | 7.88 |
| Xiaoyi Tao | 8 | 17 | 1.97 |