RT Conference Proceedings
T1 OKpi: All-KPI Network Slicing Through Efficient Resource Allocation
A1 Martín Pérez, Jorge
A1 Malandrino, Francesco
A1 Chiasserini, C. F.
A1 Bernardos Cano, Carlos Jesús
AB Networks can now process data as well as transporting it; it follows that they can support multiple services, each requiring different key performance indicators (KPIs). Because of the former, it is critical to efficiently allocate network and computing resources to provide the required services, and, because of the latter, such decisions must jointly consider all KPIs targeted by a service. Accounting for newly introduced KPIs (e.g., availability and reliability) requires tailored models and solution strategies, and has been conspicuously neglected by existing works, which are instead built around traditional metrics like throughput and latency. We fill this gap by presenting a novel methodology and resource allocation scheme, named OKpi, which enables high-quality selection of radio points of access as well as VNF (Virtual Network Function) placement and data routing, with polynomial computational complexity. OKpi accounts for all relevant KPIs required by each service, and for any available resource from the fog to the cloud. We prove several important properties of OKpi and evaluate its performance in two real-world scenarios, finding it to closely match the optimum.
PB IEEE
SN 978-1-7281-6412-0
YR 2020
FD 2020-07-01
LK https://hdl.handle.net/10016/31337
UL https://hdl.handle.net/10016/31337
LA eng
NO This paper has been presented at INFOCOM 2020: IEEE International Conference on Computer Communications
NO This work was supported by the EU Commission through the 5GROWTH project (grant agreement no. 856709).
DS e-Archivo
RD 1 sept. 2024