Abstract
Internet of things (IoT) devices play a crucial role in the design of state-of-the-art infrastructures, with an increasing demand to support more complex services and applications. However, IoT devices are known for having limited computational capacities. Traditional approaches used to offload applications to the cloud to ease the burden on end-user devices, at the expense of a greater latency and increased network traffic. Our goal is to optimize the use of IoT devices, particularly those being underutilized. In this paper, we propose a pragmatic solution, built upon the Erlang programming language, that allows a group of IoT devices to collectively execute services, using their spare resources with minimal interference, and achieving a level of performance that otherwise would not be met by individual execution.
Highlights
We propose an Erlang-based framework for the parallel processing of tasks in a cluster of Internet of things (IoT) devices
Even though IoT devices are becoming more powerful, the available local resources cannot cope with the increasing computational requirements of resource-intensive applications that can be offered to a large range of end-users
This has created a new opportunity for task offloading, where computationally intensive tasks need to be offloaded to more resource powerful devices
Summary
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