An Efficient Algorithm for Fast Service Edge Selection in Cloud-Based Telco Networks

Abstract

Telecommunication operators are increasingly integrating computational infrastructure into their networks at different location levels, including the network edge. This makes a highly distributed processing environment a reality, which is expected to enable next-generation services. This article proposes a novel and efficient algorithm to determine the best service execution locations through the "service edge", a concept that groups services in categories according to their requirements and benefits from the flexibility of distributed cloud resources. The paper is focused on describing the algorithm so that it can be integrated into the telco operators' management and orchestration systems. Simulation results underpin the practical feasibility of the proposed algorithm.

Future Sustainable Internet Energy-Defined Networking

“…More recent research has focused on energy-saving techniques for edge computing resources that are expected to facilitate latency-sensitive applications, process offloading from small IoT devices with limited capabilities, and execute AI algorithms close to the location of data sources [21]. Solutions in this domain include workload orchestration to warrant the efficient use of compute resources, e.g., [22] energy-aware scheduling for executing different types of Artificial Intelligence (AI) tasks considering heterogeneous resources and latency boundaries [23,24] and the placement as well as the configuration of virtualized network components to reduce power consumption, e.g., [4,25].…”