Abstract
Most existing Cloudlet selection strategies only used the resources of one Cloudlet to compute offloading, which couldn't obtain the superior performance improvement for mobile data streaming application with many parallel components. To address this issue, a Cloudlet selection strategy based on chemical reaction optimization algorithm was proposed. The strategy aims to reduce application's completion time and energy consumption of mobile device. When the dependencies among application's components was satisfied, the strategy can take full advantage of the computing capability of multi-cloudlet to execute the parallel components of mobile data stream application simultaneously. Therefore the strategy can improve the execution efficiency and reduce the energy consumption of mobile device. The simulation results reveal that the proposed strategy can achieves 18.3% on average performance improvement than POCSS strategy does in multi-Cloudlet environment.
| Translated title of the contribution | Research on Cloudlet selection strategy for data streaming applications in mobile cloud environment |
|---|---|
| Original language | Chinese (Traditional) |
| Pages (from-to) | 87-101 |
| Number of pages | 15 |
| Journal | Tongxin Xuebao/Journal on Communications |
| Volume | 40 |
| Issue number | 1 |
| DOIs | |
| State | Published - 25 Jan 2019 |
| Externally published | Yes |
