scholarly journals Towards Energy-aware Cyber-Physical Systems Verification and Optimization

2021 ◽  
Author(s):  
Reza Soltani ◽  
Eun-Young Kang ◽  
Juan Esteban Heredia Mena
Keyword(s):  
Cyber Physical Systems ◽  
Energy Aware ◽  
Physical Systems

Energy-aware environments for the development of green applications for cyber–physical systems

2019 ◽  
Vol 91 ◽  
pp. 536-554 ◽  
Author(s):  
Daniel-Jesus Munoz ◽  
José A. Montenegro ◽  
Mónica Pinto ◽  
Lidia Fuentes
Keyword(s):  
Cyber Physical Systems ◽  
Energy Aware ◽  
Physical Systems

A holistic approach to energy-aware design of cyber-physical systems

2017 ◽  
Vol 9 (3) ◽  
pp. 283 ◽  
Author(s):  
José Antonio Esparza Isasa ◽  
Peter Gorm Larsen ◽  
Finn Overgaard Hansen
Keyword(s):  
Holistic Approach ◽  
Cyber Physical Systems ◽  
Energy Aware ◽  
Physical Systems

Energy and SLA-driven MapReduce Job Scheduling Framework for Cloud-based Cyber-Physical Systems

2021 ◽  
Vol 21 (2) ◽  
pp. 1-24
Author(s):  
Kuljeet Kaur ◽  
Sahil Garg ◽  
Georges Kaddoum ◽  
Neeraj Kumar
Keyword(s):  
Energy Consumption ◽  
Job Scheduling ◽  
Service Level Agreement ◽  
Cyber Physical Systems ◽  
Time Data ◽  
Energy Aware ◽  
Total Energy Consumption ◽  
Physical Systems ◽  
Cloud Data ◽  
Energy Aware Scheduling

Energy consumption minimization of cloud data centers (DCs) has attracted much attention from the research community in the recent years; particularly due to the increasing dependence of emerging Cyber-Physical Systems on them. An effective way to improve the energy efficiency of DCs is by using efficient job scheduling strategies. However, the most challenging issue in selection of efficient job scheduling strategy is to ensure service-level agreement (SLA) bindings of the scheduled tasks. Hence, an energy-aware and SLA-driven job scheduling framework based on MapReduce is presented in this article. The primary aim of the proposed framework is to explore task-to-slot/container mapping problem as a special case of energy-aware scheduling in deadline-constrained scenario. Thus, this problem can be viewed as a complex multi-objective problem comprised of different constraints. To address this problem efficiently, it is segregated into three major subproblems (SPs), namely, deadline segregation, map and reduce phase energy-aware scheduling. These SPs are individually formulated using Integer Linear Programming. To solve these SPs effectively, heuristics based on Greedy strategy along with classical Hungarian algorithm for serial and serial-parallel systems are used. Moreover, the proposed scheme also explores the potential of splitting Map/Reduce phase(s) into multiple stages to achieve higher energy reductions. This is achieved by leveraging the concepts of classical Greedy approach and priority queues. The proposed scheme has been validated using real-time data traces acquired from OpenCloud. Moreover, the performance of the proposed scheme is compared with the existing schemes using different evaluation metrics, namely, number of stages, total energy consumption, total makespan, and SLA violated. The results obtained prove the efficacy of the proposed scheme in comparison to the other schemes under different workload scenarios.

A holistic approach to energy-aware design of cyber-physical systems

2017 ◽  
Vol 9 (3) ◽  
pp. 283
Author(s):  
Peter Gorm Larsen ◽  
José Antonio Esparza Isasa ◽  
Finn Overgaard Hansen
Keyword(s):  
Holistic Approach ◽  
Cyber Physical Systems ◽  
Energy Aware ◽  
Physical Systems

Energy-Aware on-chip virtual machine placement for cloud-supported cyber-physical systems

2017 ◽  
Vol 52 ◽  
pp. 427-437 ◽  
Author(s):  
Xuanzhang Liu ◽  
Huaxi Gu ◽  
Haibo Zhang ◽  
Feiyang Liu ◽  
Yawen Chen ◽  
...  
Keyword(s):  
Virtual Machine ◽  
Cyber Physical Systems ◽  
Virtual Machine Placement ◽  
Energy Aware ◽  
Physical Systems ◽  
On Chip

scholarly journals Lantern: A domain specific language for energy awareness in smart-homes

2020 ◽  
Vol 12 (6) ◽  
pp. 531-546
Author(s):  
Jon Robinson ◽  
Kevin Lee ◽  
Kofi Appiah
Keyword(s):  
Software Development ◽  
Smart Homes ◽  
Cyber Physical Systems ◽  
Energy Awareness ◽  
Energy Aware ◽  
Physical Systems ◽  
Programming Language Design ◽  
Domain Specific ◽  
Systems Software ◽  
Energy Consideration

This paper argues that energy consideration should be central to software development. It speculates that including the notion of energy awareness in programming language design for domain specific languages (DSLs) is a novel way in which energy-aware and energy-efficient applications can be developed. It outlines the design criteria and rationale for using a language-focused approach for energy-awareness. It proposes Lantern, a DSL for supporting energy awareness in Cyber-Physical Systems software development. Lantern allows the development of applications that better manage and reduce the carbon footprint of devices. The design of Lantern is aimed at supporting the general development of Cyber-Physical Systems. This paper focuses on the scenario of smart homes, using statically defined locations within a specified environment.

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