Abstract
Farsighted Spectrum Resource Assignment Method for Advance Reservation Requests in Elastic Optical Networks
Highlights
Along with the rapid development of cloud/edge computing, 5G communications, Internet of things (IoT), etc., bandwidth demands of applications are rapidly growing
In Elastic optical networks (EONs), spectrum resources are generally divided into frequency slots with bandwidth far narrower than wavelength channels, and applications can use several contiguous frequency slots according to their bandwidth demands [3]
We investigate the RMSA problem for advance reservation (AR) requests in EONs
Summary
Along with the rapid development of cloud/edge computing, 5G communications, Internet of things (IoT), etc., bandwidth demands of applications are rapidly growing. Since its duration is not specified, only the time before the selected starting time of the spectrum can be assigned to other requests Among these four types of AR requests, the STSD and UTSD requests are the most considered ones. A metric named volume is defined to measure the acceptability of the network to requests They give a Max-Volume-Selectivity algorithm to assign spectrum resources to IR and AR requests. In 2017, Wang et al proposed a re-provisioning method for AR requests in EONs [26] In their method, a metric named FCR (frequency-slot consumption ratio) is defined to measure the un-optimal conditions of spectrum resources.
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