C-Share: Optical Circuits Sharing for Software-Defined Data-Centers

TL;DR

C-Share introduces a scalable SDN-based optical circuit sharing method for data centers, enabling efficient elephant flow rerouting with minimal OpenFlow rules, thereby improving throughput and flow completion times.

Contribution

It presents a novel, scalable SDN-based solution for optical circuit sharing that reduces rule footprint and latency, addressing limitations of existing hybrid architectures.

Findings

Increased mice/elephant flow separation

Improved network throughput

Reduced OpenFlow rule requirements

Abstract

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 rerouting methods. These solutions are based on separated packet and circuit planes which do not have the ability to 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 rerouting methods require a forwarding rule for each flow, which raise scalability issues. In this paper, we present C-Share -- a practical, scalable SDN-based circuit sharing solution for data center networks. C-Share inherently enable elephant flows to share optical circuits by exploiting a flat upper tier network topology. C-Share is based on a scalable and decoupled SDN-based elephant flow rerouting 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.