Title
Flow Scheduling Strategies For Minimizing Flow Completion Times In Data Center Networks
Abstract
Minimizing the flow completion time (FCT) is widely considered as an important optimization goal in designing data center networks. However, existing schemes either rely on the precondition that the size and deadline of each flow is known in advance, or require modifying the switch hardware, which is hard to implement in practice. In this paper, we present a flexible and dynamic flow scheduling strategy, namely, Maximal Completion Probability First (MCPF), to reduce the FCT. This strategy is based on the estimated probabilities of each flow to finish the transmission in a period time, and these flows which have higher completion probabilities are assigned with higher priority. Meanwhile, switches perform flow scheduling according to these priorities. We employ a queueing theory based mathematical model to analyze the average FCT of MCPF, and compare it with other two flow scheduling strategies. We also introduce the challenges and the solutions to implement MCPF in realistic networks. Finally, we evaluate the performance of MCPF in Mininet. The analysis and experimental results show that MCPF could effectively reduce the FCT.
Year
DOI
Venue
2018
10.3233/JHS-170581
JOURNAL OF HIGH SPEED NETWORKS
Keywords
Field
DocType
Flow completion time, scheduling strategy, data center networks
Computer science,Flow (psychology),Computer network,Real-time computing,Flow scheduling,Data center
Journal
Volume
Issue
ISSN
24
1
0926-6801
Citations 
PageRank 
References 
0
0.34
18
Authors
7
Name
Order
Citations
PageRank
Chao Hu1287.42
bo liu2596.79
Changyou Xing34710.55
Ke Ding451.50
Bo Xu51012.49
Xiang-Lin Wei611726.16
Xiaoming Zhang726335.42