TITLE:
Assigning Real-Time Tasks in Environmentally Powered Distributed Systems
AUTHORS:
Jian Lin, Albert M. K. Cheng
KEYWORDS:
Distributed Systems, Energy Harvesting, Real-Time Scheduling, Task Assignment
JOURNAL NAME:
Circuits and Systems,
Vol.5 No.4,
April
16,
2014
ABSTRACT:
Harvesting energy
for execution from the environment (e.g., solar, wind energy) has recently
emerged as a feasible solution for low-cost and low-power distributed systems.
When real-time responsiveness of a given application has to be guaranteed, the
recharge rate of obtaining energy inevitably affects the task scheduling. This
paper extends our previous works in[1] [2] to explore the real-time task assignment
problem on an energy-harvesting distributed system. The solution using Ant
Colony Optimization (ACO) and several significant improvements are presented.
Simulations compare the performance of the approaches, which demonstrate the
solutions effectiveness and efficiency.