Abstract
Elastic Optical Networks (EONs) are a promising optical technology to deal with the ever-increasing traffic and the vast number of connected devices of the next generation of the Internet, associated to paradigms like the Internet of Things (IoT), the Tactile Internet or the Industry 4.0, to name just a few. In this kind of optical network, each optical circuit or lightpath is provisioned by means of superchannels of variable bandwidth. In this manner, only the necessary bandwidth to accommodate the demand is allocated, improving the spectrum usage. When establishing a connection, the EON control layer determines the modulation format to be used and allocates a portion of the spectrum in a sequence of fibers from the source to the destination node providing the user-demanded bandwidth. This is known as the routing, modulation level and spectrum assignment (RMSA) problem. In this work, we firstly review the most important contributions in that area, and then, we propose a novel RMSA algorithm, multi-path best-fit (MP-BF), which uses a split spectrum multi-path strategy together with a spectrum assignment technique (best-fit), and which jointly exploit the flexibility of EONs. A simulation study has been conducted comparing the performance of EONs when using MP-BF with other proposals from the literature. The results of this study show that, by using MP-BF, the network can increase its performance in terms of lightpath request blocking ratio and supported traffic load, without affecting the energy per bit or the computation time required to find a solution.
Highlights
Future Internet will have to deal with new applications from many different verticals associated to machine-to-machine (M2M) and human-to-machine (H2M) services that current networks cannot satisfy
As the main contribution, we present a new RMSA algorithm for dynamic Elastic Optical Networks (EONs), multi-path bestfit (MP-BF), which combines the use of a split spectrum multi-path strategy with a spectrum assignment technique called best-fit [20], [21]
In order to check whether the improvement in performance of multi-path best-fit (MP-BF) comes at a cost, we have evaluated three different issues: the network energy consumption, the required number of transponders and the computing time required by the different algorithms
Summary
Future Internet will have to deal with new applications from many different verticals associated to machine-to-machine (M2M) and human-to-machine (H2M) services that current networks cannot satisfy. To avoid request blocking due to the lack of enough consecutive spectrum to support the demanded traffic, split spectrum techniques can be applied [13]–[15] These techniques allow providing the total requested capacity through multiple connections of smaller capacity (which will be referred to as sub-lightpaths on) and routing them either through the same path (single-path approach) or different paths (multi-path approach). As the main contribution, we present a new RMSA algorithm for dynamic EONs, multi-path bestfit (MP-BF), which combines the use of a split spectrum multi-path strategy with a spectrum assignment technique called best-fit [20], [21].
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