I/O Interference Aware Multiuser Computation Offloading for Virtualized Edge Computing
Zezu Liang, Yuan Liut, Kaibin Huang, Tat-Ming Lok · 2019
Mobile-edge computing (MEC) is an emerging technology for enhancing the computational capabilities of mobile devices and reducing their energy consumption via offloading complex computation tasks to the nearby servers. Multiuser MEC at servers is widely realized via parallel computing based on virtualization. Due to finite shared I/O resources, interference between virtual machines (VMs), called I/O interference, arises that degrades the computation performance. In this paper, we study the problem of joint radio-and-computation resource allocation (RCRA) in multiuser MEC systems in the presence of I/O interference. Specifically, we formulate a sum offloading rate maximization problem by joint offloading-user scheduling, the offloaded size control, and time allocation for communication (offloading and downloading) and computation. The problem is a non-convex mixed-integer programming problem. An optimal algorithm with low complexity is designed based on a decomposition approach and Dinkelbach method. The simulation results demonstrate considering of I/O interference can endow on an offloading controller robustness against the performancedegradation factor.