Resource Slicing through Intelligent Orchestration of Energy-aware IoT services in Edge-Cloud Continuum

TL;DR

This paper proposes an intelligent orchestration framework that decomposes IoT applications into nanoservices and deploys them across edge-cloud resources in an energy-efficient manner using resource and network slicing.

Contribution

It introduces a novel resource slicing scheme for energy-aware deployment of nanoservices in the edge-cloud continuum, optimizing resource allocation.

Findings

Efficient resource allocation for IoT nanoservices.

Reduced energy consumption in edge-cloud deployments.

Improved system performance through intelligent orchestration.

Abstract

The rapid growth of the Internet of Things (IoT) applications inflicts high requirements for computing resources and network bandwidth. A growing number of service providers are applying edge-cloud computing to improve the quality of their services. Deploying IoT applications to optimal computing nodes to minimize energy consumption and enhance system performance remains an open challenge. In this paper, we present an intelligent orchestration concept for breaking down IoT applications into granular microservices, called nanoservices, and deploying them in an energy-aware manner to optimal computing nodes in the edge-cloud continuum by applying resource and network slicing methods. With this consolidated slicing scheme, we can efficiently allocate network and compute resources to meet the needs of these nanoservices.