Network Performance Trade-Off in Modular Data Centers With Optical Spatial Division Multiplexing

Abstract

The modular design based on spatial division multiplexing switches is recently proposed 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. The two metrics are combined linearly by a weight factor that prioritizes them relatively. Both mixed integer linear programming formulations and close-to-optimal heuristics based on problem decomposition are proposed 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.

Enabling Technologies for Optical Data Center Networks: Spatial Division Multiplexing

“…Taking IC-XT into account, integer linear programming (ILP [105][106]) and mixed integer linear programming (MILP [107]) formulation as well as heuristic algorithms for resource allocation and routing strategies in SDM network are well studied, targeting minimization of the blocking probability [107][108][109] and maximization of the total throughput [104,106], which can be generalized for DCN applications with a shorter transmission distance. The detailed trade-off between the throughput and blocking probability in SDM-based DCs is investigated in [110].…”