Name
Abstract | ||
|---|---|---|
Data center has become an important facility for hosting various applications. For data center networks, deadline missing rate and average flow completion time are two main metrics for the performance of applications. In this paper, we find deadline-aware methods can only reduce the percentage of flows missing deadline, while flowsize-aware and information-cumulative methods can only optimize the average flow completion time. However, traffic in data center is the mixture of various flows and focusing on the single goal is not enough. We advocate to incorporate deadline and flow duration time into flow rate control. Then we design DA&FD (Deadline-Aware and Flow Duration) based rate control mechanism and analyze its performance in theory. At last, we evaluate DA&FD under different topologies, real world traffic and load scenarios, both by simulation and in real testbed. Our results show that DA&FD performs close to D
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TCP and about 15%, 25%, 30%, 35% better than Ameon, L
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DCT, Karuna, DCTCP on deadline missing rate. For average FCT, the performance of DA&FD is similar to L
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DCT and compared with Ameon, D
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TCP, Karuna, DCTCP, DA&FD can reduce average FCT by 10%, 15%, 20%, 25%. |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1109/TNET.2019.2951925 | IEEE/ACM Transactions on Networking |
Keywords | Field | DocType |
Data centers,Discrete cosine transforms,Measurement,Bandwidth,IEEE transactions,Quality of service,Web search | Computer science,Flow (psychology),Computer network,Distributed computing | Journal |
Volume | Issue | ISSN |
27 | 6 | 1063-6692 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
8 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Han Zhang | 1 | 123 | 28.55 |
| Haijun Geng | 2 | 4 | 3.44 |
| YaHui Li | 3 | 14 | 6.42 |
| Xia Yin | 4 | 320 | 44.72 |
| Xingang Shi | 5 | 166 | 22.66 |
| Zhiliang Wang | 6 | 201 | 34.74 |
| Qianhong Wu | 7 | 87 | 11.95 |
| Jianwei Liu | 8 | 216 | 61.10 |