Poster Abstract- Mitigating multi-tenant interference on mobile offloading serversProceedings of the 2017 Symposium on Cloud Computing (SoCC-17) (2017)
This work considers that multiple mobile clients offload various continuous sensing applications with end-to-end delay constraints, to a cluster of machines as the server. Contention for shared computing resources on a server can result in delay degradation and application malfunction. We present ATOMS (Accurate Timing prediction and Offloading for Mobile Systems), a framework to mitigate multi-tenant resource contention and to improve delay using a two-phase Plan-Schedule approach. The planning phase includes methods to predict future workloads from all clients, to estimate contention, and to devise offloading schedule to reduce contention. The scheduling phase dispatches arriving offloaded workload to the server machine that minimizes contention, based on the running workloads on each machine.
Publication DateSeptember 24, 2017
Citation InformationZhou Fang, Mulong Luo, Tong Yu, Ole J Mengshoel, et al.. "Poster Abstract- Mitigating multi-tenant interference on mobile offloading servers" Proceedings of the 2017 Symposium on Cloud Computing (SoCC-17) (2017) p. 644 - 644
Available at: http://works.bepress.com/ole_mengshoel/70/