Framework of software design patterns for energy-aware embedded systems

Autor(en): Schaarschmidt, M.
Uelschen, M.
Pulvermuller, E. 
Westerkamp, C.
Herausgeber: Ali, R.
Kaindl, H.
Maciaszek, L.
Stichwörter: Embedded Software Engineering; Embedded Systems; Energy conservation; Energy Efficiency; Energy utilization; Energy-aware embedded systems; Internet of Things; Novel design; Numerical efficiency; Power Consumption; Power management, Energy optimization; Software and hardwares; Software Design Pattern; Software design patterns; Time behavior, Software design
Erscheinungsdatum: 2020
Herausgeber: SciTePress
Journal: ENASE 2020 - Proceedings of the 15th International Conference on Evaluation of Novel Approaches to Software Engineering
Startseite: 62
Seitenende: 73
Zusammenfassung: 
With the increasing size and complexity of embedded systems, the impact of software on energy consumption is becoming more important. Previous research focused mainly on energy optimization at the hardware level. However, little research has been carried out regarding energy optimization at the software design level. This paper focuses on the software design level and addresses the gap between software and hardware design for embedded systems. This is achieved by proposing a framework for software design patterns, which takes aspects of power consumption and time behavior of the hardware level into account. We evaluate the expressiveness of the framework by applying it to well-known and novel design patterns. Furthermore, we introduce a dimensionless numerical efficiency factor to make possible energy savings quantifiable. © Copyright 2020 by SCITEPRESS - Science and Technology Publications, Lda. All rights reserved.
Beschreibung: 
Conference of 15th International Conference on Evaluation of Novel Approaches to Software Engineering, ENASE 2020 ; Conference Date: 5 May 2020 Through 6 May 2020; Conference Code:160383
ISBN: 9789897584213
Externe URL: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85088362997&partnerID=40&md5=8c9dcfae3ae9d866f5f84012ecaa4e56

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