Network Performance Trade-Off in Modular Data Centers With Optical Spatial Division Multiplexing
Journal article, 2018

Modular design based on spatial division-multiplexing switches is a promising way to improve the capacity and reduce the cabling complexity of data center networks. However, due to the coexistence of mice and elephant flows, in modular data center networks a trade-off between the blocking probability and total throughput arises. In fact, blocking elephant flows would lead to a relevant penalty on the throughput but a small penalty on the blocking probability. In this paper, we investigate the relation between the blocking and throughput in modular data center networks based on optical spatial division multiplexing. We combine the two metrics linearly by a weight factor that prioritizes them relatively. To solve the resource allocation problem, we propose both mixed integer linear programming formulations and close-to-optimal heuristics for three different spatial division multiplexing switching schemes. Simulation results demonstrate that a carefully chosen weight factor is necessary to achieve a proper balance between the blocking probability and throughput for all the schemes.

Resource allocation

Data centers

Spatial division multiplexing

Author

Li Yan

Chalmers, Electrical Engineering, Communication, Antennas and Optical Networks

Matteo Fiorani

Royal Institute of Technology (KTH)

Ajmal Muhammad

Royal Institute of Technology (KTH)

Massimo Tornatore

Polytechnic University of Milan

Erik Agrell

Chalmers, Electrical Engineering, Communication, Antennas and Optical Networks

Lena Wosinska

Royal Institute of Technology (KTH)

Journal of Optical Communications and Networking

1943-0620 (ISSN) 19430639 (eISSN)

Vol. 10 9 796-808 8472869

Technologies for spatial-division multiplexing: The next frontier in optical communications

Swedish Research Council (VR) (2014-6138), 2015-01-01 -- 2018-12-31.

Adaptive optical networks: Theory and algorithms for system optimization

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Towards flexible and energi-efficient datacentre networks

Swedish Research Council (VR) (2014-6230), 2015-01-01 -- 2018-12-31.

Subject Categories

Telecommunications

Computational Mathematics

Communication Systems

DOI

10.1364/JOCN.10.000796

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4/5/2022 6