Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/14044
Title: SolarTune : real-time scheduling with load tuning for solar energy powered multicore systems
Authors: Wang, Y
Chen, R
Shao, Z 
Li, T
Keywords: Multiprocessing systems
Processor scheduling
Solar energy conversion
Solar power stations
Issue Date: 2013
Publisher: IEEE
Source: 2013 IEEE 19th International Conference on Embedded and Real-Time Computing Systems and Applications (RTCSA), 19-21 August 2013, Taipei, p. 101-110 How to cite?
Journal: 2013 IEEE 19th International Conference on Embedded and Real-Time Computing Systems and Applications (RTCSA), 19-21 August 2013, Taipei 
Abstract: In this paper, we target at the direct-coupled solar energy powered multicore architectures that provide direct power supply between photovoltaic (PV) generation and the load without the adoption of battery. We present Solar-Tune, a real-time scheduling technique with load tuning for sporadic tasks on solar energy powered multicore systems. The objective is to fully utilize the available solar energy while meeting the deadlines of tasks. To solve the problem, we first perform analysis and formulate the scheduling problem in each duration as an integer linear programming (ILP) model to obtain an optimal schedule. Then we present a heuristic algorithm to dynamically refine the task scheduling based on the predictions of the availability of solar energy. We conduct experiments using real-world meteorological data across different geographic sites. The experimental results show that SolarTune can significantly improve the solar energy utilization ratio and reduce the number of deadline misses compared to the conventional task scheduler.
URI: http://hdl.handle.net/10397/14044
ISBN: 
ISSN: 1533-2306
DOI: 10.1109/RTCSA.2013.6732208
Appears in Collections:Conference Paper

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