Sharing Energy for Optimal Edge Performance
| Author | Gelenbe E.; Zhang Y. |
|---|---|
| Title | Sharing Energy for Optimal Edge Performance |
| Journal | SOFSEM 2020: Theory and Practice of Computer Science |
| Year | 2020 |
| Status | Published |
| DOI | 10.1007/978-3-030-38919-2_3 |
| Abstract | Using the Energy Packet Network (EPN) model, we show how energy can be shared between heterogeneous servers at the edge to minimize the overall average response time of jobs. The system is modelled as a probabilistic network where energy and jobs are being dispatched to the edge servers using G-Networks with a product-form solution for the equilibrium probability distribution of system state. The approach can also be used to design energy dispatching systems when renewable energy is used to improve the sustainability of edge computing. |
| Publisher | Springer |
| ISSN | 978-3-030-38918-5 |
| Sharing Energy for Optimal Edge Performance.pdf |