NDLI: Analysis and Scheduling of a Battery-Less Mixed-Criticality System with Energy Uncertainty

Content Provider	ACM Digital Library
Author	Asyaban, Sedigheh Thiele, Lothar Mohaqeqi, Morteza Kargahi, Mehdi
Copyright Year	2016
Description	Author Affiliation: School of ECE, University of Tehran, Tehran, Iran(Swiss federal institute of technology zurich, Zurich, Switzerland (Thiele, Lothar; Drts research lab, School of ECE, University of Tehran, Tehran, Iran (Asyaban, Sedigheh); Mohaqeqi, Morteza); Kargahi, Mehdi)
Abstract	We consider a battery-less real-time embedded system equipped with an energy harvester. It scavenges energy from an environmental resource according to some stochastic patterns. The success of jobs is threatened in the case of energy shortage, which might be due to lack of harvested energy, losses originated from the super-capacitor self-discharge, as well as power consumption of executed tasks. The periodic real-time tasks of the system follow a dual-criticality model. In addition, each task has a minimum required success ratio that needs to be satisfied in steady state. We analytically evaluate the behavior of such a system in terms of its energy-related success ratio for a given schedule. Based on these results, we propose a scheduling algorithm that satisfies both temporal and success-ratio constraints of the jobs, while respecting task criticalities and corresponding system modes. The accuracy of the analytical method as well as its dependence on the numerical computations and other model assumptions are extensively discussed through comparison with simulation results. Also, the efficacy of the proposed scheduling algorithm is studied through comparison to some existing non-mixed- and mixed-criticality scheduling algorithms.
Starting Page	1
Ending Page	26
Page Count	26
File Format	PDF
ISSN	15399087
e-ISSN	15583465
DOI	10.1145/2964201
Volume Number	16
Issue Number	1
Journal	ACM Transactions on Embedded Computing Systems (TECS)
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	2016-10-23
Publisher Place	New York
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Mixed criticality Energy harvesting Real-time scheduling Stochastic analysis
Content Type	Text
Resource Type	Article
Subject	Hardware and Architecture Software

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