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.
| Original language | English |
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| Title of host publication | 2013 IEEE 19th International Conference on Embedded and Real-Time Computing Systems and Applications, RTCSA 2013 |
| Publisher | IEEE Computer Society |
| Pages | 101-110 |
| Number of pages | 10 |
| DOIs | |
| Publication status | Published - 1 Jan 2013 |
| Event | 2013 IEEE 19th International Conference on Embedded and Real-Time Computing Systems and Applications, RTCSA 2013 - Taipei, Taiwan Duration: 19 Aug 2013 → 21 Aug 2013 |
Conference
| Conference | 2013 IEEE 19th International Conference on Embedded and Real-Time Computing Systems and Applications, RTCSA 2013 |
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| Country/Territory | Taiwan |
| City | Taipei |
| Period | 19/08/13 → 21/08/13 |
ASJC Scopus subject areas
- Computer Science Applications
- Software
