ETRI-Knowledge Sharing Plaform

KOREAN
논문 검색
Type SCI
Year ~ Keyword

Detail

Journal Article Light-Weight and Versatile Monitor for a Self-Adaptive Software Framework for IoT Systems
Cited 3 time in scopus Download 179 time Share share facebook twitter linkedin kakaostory
Authors
Young-Joo Kim, Jong-Soo Seok, YungJoon Jung, Ok-Kyoon Ha
Issue Date
2016-11
Citation
Journal of Sensors, v.2016, pp.1-8
ISSN
1687-725X
Publisher
Hindawi Publishing
Language
English
Type
Journal Article
DOI
https://dx.doi.org/10.1155/2016/8085407
Abstract
Today, various Internet of Things (IoT) devices and applications are being developed. Such IoT devices have different hardware (HW) and software (SW) capabilities; therefore, most applications require customization when IoT devices are changed or new applications are created. However, the applications executed on these devices are not optimized for power and performance because IoT device systems do not provide suitable static and dynamic information about fast-changing system resources and applications. Therefore, this paper proposes a light-weight and versatile monitor for a self-adaptive software framework to automatically control system resources according to the system status. The monitor helps running applications guarantee low power consumption and high performance for an optimal environment. The proposed monitor has two components: a monitoring component, which provides real-time static and dynamic information about system resources and applications, and a controlling component, which supports real-time control of system resources. For the experimental verification, we created a video transport system based on IoT devices and measured the CPU utilization by dynamic voltage and frequency scaling (DVFS) for the monitor. The results demonstrate that, for up to 50 monitored processes, the monitor shows an average CPU utilization of approximately 4% in the three DVFS modes and demonstrates maximum optimization in the Performance mode of DVFS.
KSP Keywords
CPU Utilization, Control systems, Dynamic information, Dynamic voltage and frequency scaling, Experimental Verification, High performance, Internet of thing(IoT), IoT Devices, IoT systems, Real-time control, Self-adaptive software
This work is distributed under the term of Creative Commons License (CCL)
(CC BY)
CC BY