A spatial computer is a collection of devices filling space whose ability to interact is strongly dependent on their proximity. Previously, we have showed that programming such a computer as a continuous space can allow selfscaling across computers with different device distributions and can increase robustness against device failure. We have extended these ideas to time, allowing self-scaling across computers with different communication and execution rates. We have used a network of 24 Mica2 Motes to demonstrate that a program exploiting these ideas shows minimal difference in behavior as the time between program steps ranges from 100 ms to 300 ms and on a configuration with mixed rates.
Citation:
Jonathan Bachrach, Jacob Beal, Takeshi Fujiwara, "Continuous Space-Time Semantics Allow Adaptive Program Execution," saso, pp.315-319, First International Conference on Self-Adaptive and Self-Organizing Systems (SASO 2007), 2007