TY - ECHAP
AU - Erol Gelenbe
AU - Yunxiao Zhang
AB - 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.
BT - SOFSEM 2020: Theory and Practice of Computer Science
CY - Cham
DO - 10.1007/978-3-030-38919-2_3
ET - Chatzigeorgiou A. et al.
LA - eng
M1 -  Lecture Notes in Computer Science, vol 12011
N2 - 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.
PB - Springer
PP - Cham
PY - 2020
T2 - SOFSEM 2020: Theory and Practice of Computer Science
TI - Sharing Energy for Optimal Edge Performance
SN - 978-3-030-38918-5
ER -