Flexible Allocation of Heterogeneous Resources to Services on an IoT Device

TL;DR

This paper addresses the challenge of optimally allocating heterogeneous network resources on IoT devices by formulating a MILP model, providing optimal solutions and insights into service splitting across interfaces.

Contribution

It introduces a MILP formulation for resource allocation in IoT devices with heterogeneous interfaces, enabling optimal solutions for a complex, computationally-hard problem.

Findings

MILP model yields optimal solutions for resource allocation.

Insights into service splitting across multiple interfaces.

Analysis of properties of derived solutions.

Abstract

In the Internet of Things (IoT), devices and gateways may be equipped with multiple, heterogeneous network interfaces which should be utilized by a large number of services. In this work, we model the problem of assigning services' resource demands to a device's heterogeneous interfaces and give a Mixed Integer Linear Program (MILP) formulation for it. For meaningful instance sizes the MILP model gives optimal solutions to the presented computationally-hard problem. We provide insightful results discussing the properties of the derived solutions with respect to the splitting of services to different interfaces.