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Class based Flow Scheduling Framework in SDN based Data Center Networks.pdf (435.59 kB)
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Class-based Flow Scheduling Framework in SDN-based Data Center Networks

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posted on 09.09.2020 by Maiass Zaher, Aymen Alawadi, Sandor Molnar
The emerging technologies leveraging Data Center Networks (DCN) and their consequent traffic patterns impose more necessity for improving Quality of Service (QoS). In this paper, we propose Sieve, a new distributed SDN framework that efficiently schedules flows based on the available bandwidth to improve Flow Completion Time (FCT) of mice flows. In addition, we propose a lightweight sampling mechanism to sample a portion of flows. In particular, Sieve schedules the sampled flows, and it reschedules only elephant flows upon threshold hits. Furthermore, our framework allocates a portion of the flows to ECMP, so that the associated overhead can be mitigated in the control plane and ECMP-related packet collisions are fewer as well. Mininet has been used to evaluate the proposed solution, and Sieve provides better FCT up to 50% in comparison to the existing solutions like ECMP and Hedera.

History

Email Address of Submitting Author

aymen@tmit.bme.hu

ORCID of Submitting Author

0000-0001-7581-1682

Submitting Author's Institution

BME

Submitting Author's Country

Hungary

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Exports