Paper Info
Title
Enhancing of Micro Flow Transfer in SDN-based Data Center Networks
Abstract
As micro traffic is dominant in data center networks, many conditions must be satisfied to guarantee a very short delay. In this context, the flexibility provided by software defined networks (SDN) represents an opportunity for proposing new quality of service (QoS) based solutions. In this paper, we propose a new SDN-based framework to utilize QoS mechanisms in providing better conditions for data center networks to deliver micro flows efficiently. We present a Micro-flow framework which deals with queue length as a sign to avoid congestion events so that the flow completion time of micro flows can be improved by adapting the data rate of background flows without any intervention of source end hosts for rapid reaction. By creating queues match the network topology, our framework probes the length of queues dedicated for micro flows such that the data rate of background flows on upstream switches can be updated proportionally to the length of the micro queue on the downstream switch. We evaluated our solution by Mininet in different scenarios. The experiments demonstrate that Cubic and New Reno with our framework give better completion time for micro flows compared to that when DropTail is used by Cubic and New Reno, mitigate the probability of congestion events and do not severely throttle the data rate of background flows.
Year
DOI
Venue
2019
10.1109/ICC.2019.8761746
IEEE International Conference on Communications
Keywords
Field
DocType
Micro flow,Software Defined Networks,Quality of Service,SDN controller,Data Center Networks,OpenFlow,Network congestion
Computer science,Queue,Flow (psychology),Computer network,Quality of service,Network topology,Data rate,Software-defined networking,Data center,Throttle
Conference
ISSN
Citations 
PageRank 
1550-3607
0
0.34
References 
Authors
0
2
Name
Order
Citations
PageRank
Maiass Zaher100.34
Sándor Molnár230638.56