Virtual Network Mapping in Elastic Optical Networks with Advance Reservation
Publication Date
6-1-2020
Document Type
Conference Proceeding
Publication Title
ICC 2020 - 2020 IEEE International Conference on Communications (ICC)
DOI
10.1109/ICC40277.2020.9149273
Abstract
Elastic optical networks are promising candidates for next-generation backbone networks due to their capability to efficiently and flexibly allocate optical bandwidth to demands with heterogeneous requirements. Scientific applications involving data processing, analysis, and transmission among multiple data centers can be modeled as virtual network requests. For delay-tolerant applications, the virtual network request has a specific deadline and is successfully mapped as long as sufficient resources are allocated to it before the deadline. In this paper, we investigate the dynamic virtual network mapping problem for advance reservation virtual network requests in elastic optical networks. We propose a stop-and-resume allocation scheme to map virtual network requests in order to satisfy deadline constraints and resource requirements, where the service duration of a request is divided into periods with different resources being allocated in different periods. Simulation results are presented to show the effectiveness of the proposed approach compared with a baseline algorithm in terms of request blocking ratio.
Funding Number
1813617
Funding Sponsor
National Science Foundation
Keywords
advance reservation, Elastic optical networks, resource allocation, virtual network mapping
Department
Electrical Engineering
Recommended Citation
Juzi Zhao and Suresh Subramaniam. "Virtual Network Mapping in Elastic Optical Networks with Advance Reservation" ICC 2020 - 2020 IEEE International Conference on Communications (ICC) (2020). https://doi.org/10.1109/ICC40277.2020.9149273