Abstract
Using the Energy Packet Network (EPN) model, we show how energy can be shared between heterogenous servers at the edge to minimize the overall average response time of jobs. The system is modeled 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.
Cite
CITATION STYLE
Gelenbe, E., & Zhang, Y. (2020). Sharing Energy for Optimal Edge Performance. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 12011 LNCS, pp. 24–36). Springer. https://doi.org/10.1007/978-3-030-38919-2_3
Register to see more suggestions
Mendeley helps you to discover research relevant for your work.
