End-to-end network slicing for edge computing optimization
Future Generation Computer Systems, cilt.157, ss.516-528, 2024 (SCI-Expanded, Scopus)
- Yayın Türü: Makale / Tam Makale
- Cilt numarası: 157
- Basım Tarihi: 2024
- Doi Numarası: 10.1016/j.future.2024.03.001
- Dergi Adı: Future Generation Computer Systems
- Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus
- Sayfa Sayıları: ss.516-528
- Anahtar Kelimeler: Network slicing, Edge computing, Network management, Service-centric networks, Network optimization, Latency critical services
- Boğaziçi Üniversitesi Adresli: Evet
Özet
User-centric services proliferated by the smart devices is getting more demanding and characteristically diversified. Fall-risk assessment, augmented reality and similar services coexist in a shared heterogeneous setting. To meet the diversified and often conflicting requirements of the services, the physical network is decomposed into virtual slices. In order to address the optimal network slicing problem for various service types with different performance requirements, this study proposes a Mixed Integer Programming (MIP) model. This optimization model aims to satisfy the demands of the services and provide complete isolation among them through virtual resources reservation, including both networking and computation. Additionally, a heuristic implementation NESECS (NEtwork Slicing for Edge Computing Services) is proposed as an efficient solution for the cases where the optimization tools remain inadequate. The performance of the proposed solutions is evaluated with an extensive set of experiments. The obtained results indicate that the proposed optimization model is capable of providing optimal or near optimal solutions for small network instances, and NESECS algorithm can provide good solutions for larger instances by eliminating the time complexity.