Freeway: Adaptively Isolating the Elephant and Mice Flows on Different Transmission Paths

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Wang, Wei; Sun, Yi; Zheng, Kai; Kaafar, Dali; Li, Dan; Li, Zhongcheng

Wang, Wei; Sun, Yi; Zheng, Kai; Kaafar, Dali; Li, Dan; Li, Zhongcheng


2014-10-21


Conference Material


IEEE International Conference on Network Protocols (ICNP)


The Research Triangle, North Carolina, USA


The network resource competition of today’ datacenters is extremely intense between long-lived elephant flows and latency-sensitive mice flows. Achieving both goals of enabling high throughput and low latency respectively for both types of flows requires compromises, which recent research has not successfully solved mainly due to the transfer of elephant and mice flows on shared links without any differentiation between the two. Recent datacenters however usually adopt clos-based topology, e.g. Fattree/VL2, so there are always multiple shortest paths between any pair of source and destination. In this paper, we leverage on this observation to propose a flow schedule scheme, Freeway, to achieve both goals by adaptively isolating the transmission paths to low latency paths and high throughput paths respectively for the two types of flows. In Freeway, we present an algorithm to dynamically adjust the number of low latency paths according to the ToR-ToR traffic. While operating on separated transmission paths, we propose different scheduling and forwarding algorithms for the two types of flows to make full use of the isolated flow type aware bandwidth resources. Our simulation results show that by isolating transmission paths and simultaneously scheduling flows separately, Freeway drastically reduces the delay of mice flow by 85.8% while achieving higher throughput compared with Hedera.


Datacenter networks; Traffic engineering, Software Defined Networks, Controller, Flows Optimisation


http://icnp14.cs.unc.edu


nicta:8211


Wang, Wei; Sun, Yi; Zheng, Kai; Kaafar, Dali; Li, Dan; Li, Zhongcheng. Freeway: Adaptively Isolating the Elephant and Mice Flows on Different Transmission Paths. In: IEEE International Conference on Network Protocols (ICNP); The Research Triangle, North Carolina, USA. 2014-10-21.



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