Abstract

We consider a space-division multiplexing elastic optical network (SDM-EON) that supports super-channels (SChs). A Sch comprises a set of contiguous frequency slots on multiple cores in a multi-core fiber. The problem of finding a lightpath using SChs involves routing, modulation, spectrum and core assignment (RMSCA). To minimize the request blocking probability (RBP), two critical issues must be addressed. First, routing and modulation assignment (RMA) should not cause hotspots, or overutilized links. Second, spectrum and core assignment (SCA) should aim at minimizing fragmentation, or small frequency slot blocks that can hardly be utilized by future requests. In this paper, a pre-computation method is first proposed for better load balancing in RMA. Then an efficient fragmentation-aware SCA is proposed based on a new fragmentation metric that measures both the spectral and spatial fragmentation. With the enhanced RMA and SCA, a joint load-balanced and fragmentation-aware algorithm called LBFA is designed to solve the RMSCA problem. As compared with the existing algorithms, simulation results show that our LBFA provides significant reduction in RBP.

Highlights

  • Due to the emergence of cloud-based services, network operators are seeking a better solution to implement advanced network infrastructures such as network function virtualization

  • We focused on achieving superior network performance, i.e., lower request blocking probability, in space-division multiplexing elastic optical network (SDM-elastic optical network (EON))

  • A precomputation method based on the load balance strategy was first introduced as the routing and modulation assignment (RMA) solution in space division multiplexing (SDM)-EONs

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Summary

Introduction

Due to the emergence of cloud-based services, network operators are seeking a better solution to implement advanced network infrastructures such as network function virtualization. By jointly considering the two above strategies, we propose a load-balanced and fragmentation-aware algorithm, LBFA, to effectively solve the RMSCA problem for a lightpath with SChs in SDM-EONs. LBFA is realized by finding the least loaded path to carry the request, and selecting the best SCA to minimize spectral and spatial fragmentation. In [15], a resource allocation model for spectral and spatial SChs (i.e., SChs that comprise a set of contiguous slots) was first introduced Under this model, the static RMSCA problem was studied in [33], where a path-based ILP was formulated, and a stepwise greedy algorithm was designed. In [16], a three-dimensional resource assignment algorithm was proposed for solving the dynamic RMSCA problem in SDM-EONs based on FM-MCFs. Aiming at minimizing the wasted FSs, a sorting algorithm for selecting proper FS allocation pattern (FSAP) was proposed in [5]

Our Contributions
System Model
Network Model
Request Model
Frequency Slot Allocation Pattern
Our Approach
Load-Balanced RMA
Computation Complexity
Simulation Result
Findings
Conclusions
Full Text
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