Abstract
Today, a wide range of developments and paradigms require the use of embedded systems characterized by restrictions on their computing capacity, consumption, cost, and network connection. The evolution of the Internet of Things (IoT) towards Industrial IoT (IIoT) or the Internet of Multimedia Things (IoMT), its impact within the 4.0 industry, the evolution of cloud computing towards edge or fog computing, also called near-sensor computing, or the increase in the use of embedded vision, are current examples of this trend. One of the most common methods of reducing energy consumption is the use of processor frequency scaling, based on a particular policy. The algorithms to define this policy are intended to obtain good responses to the workloads that occur in smarthphones. There has been no study that allows a correct definition of these algorithms for workloads such as those expected in the above scenarios. This paper presents a method to determine the operating parameters of the dynamic governor algorithm called Interactive, which offers significant improvements in power consumption, without reducing the performance of the application. These improvements depend on the load that the system has to support, so the results are evaluated against three different loads, from higher to lower, showing improvements ranging from 62% to 26%.
Highlights
Introduction and Related WorkThe development of the Industrial IoT (IIoT) (Industrial Internet of Things) and ICPS (Industrial Cyber PhysicalSystems) paradigms [1] introduced by the Industry 4.0 concept [2] is producing an increase in the use of embedded systems
There is a trend in the use of the Internet of Things (IoT) towards mobile, multisensorial and smart solutions, which has led to an evolution towards
), and a range of frequencies available between these two, two, so that, max), and a range of frequencies available between these (Fmin min), a maximum frequency max depending governor, and thethe computer load required by the one depending on onthe thepolicy policyapplied appliedbybythe the governor, and computer load required by process, the process, particular frequency will be chosen as the working frequency
Summary
The development of the IIoT (Industrial Internet of Things) and ICPS IoMT technology is used to move from a cloud system to an edge system (or fog), using the processing capacity of the sensors to transmit only the information of interest, and only when that information exists To develop this function, a method is proposed to configure the frequency governor of the cores, so that it satisfies the time requirements with least consumption. This paper does not proposeand a new that would be suitable a multi-load multistatically the best working frequency for a given symmetric load Instead, it aims to demonstrate how application environment and that would require neural network training stages to assign statically energy efficiency can be increased in devices by running.
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Free) 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a call
