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C-share: optical circuits sharing for software-defined data-centers
Integrating optical circuit switches in data-centers is an on-going research challenge. In recent years, state-of-the-art solutions introduce hybrid packet/circuit architectures for different optical circuit switch technologies, control techniques, and traffic re-routing methods. These solutions are...
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Published in: | Computer communication review 2020-03, Vol.50 (1), p.2-9 |
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Main Authors: | , , , |
Format: | Magazinearticle |
Language: | English |
Citations: | Items that this one cites |
Online Access: | Get full text |
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Summary: | Integrating optical circuit switches in data-centers is an on-going research challenge. In recent years, state-of-the-art solutions introduce hybrid packet/circuit architectures for different optical circuit switch technologies, control techniques, and traffic re-routing methods. These solutions are based on separated packet and circuit planes that cannot utilize an optical circuit with flows that do not arrive from or delivered to switches directly connected to the circuit's end-points. Moreover, current SDN-based elephant flow re-routing methods require a forwarding rule for each flow, which raises scalability issues.
In this paper, we present
C-Share
- a scalable SDN-based circuit sharing solution for data center networks.
C-Share
inherently enables elephant flows to share optical circuits by exploiting a flat top-of-rack tier network topology.
C-Share
is based on a scalable and decoupled SDN-based elephant flow re-routing method comprised of elephant flow detection, tagging and identification, which is utilized by using a prevalent network sampling method (e.g., sFlow).
C-Share
requires only a single OpenFlow rule for each optical circuit, and therefore significantly reduces the required OpenFlow rule entry footprint and setup rule rate. It also mitigates the OpenFlow outbound latency for subsequent elephant flows. We implement a proof-of-concept system for
C-Share
based on Mininet, and test the scalability of
C-Share
by using an event-driven simulation. Our results show a consistent increase in the mice/elephant flow separation in the network, which, in turn, improves both network throughput and flow completion time. |
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ISSN: | 0146-4833 |
DOI: | 10.1145/3390251.3390253 |