Title
SEE: Scheduling Early Exit for Mobile DNN Inference during Service Outage
Abstract
In recent years, the rapid development of edge computing enables us to process a wide variety of intelligent applications at the edge, such as real-time video analytics. However, edge computing could suffer from service outage caused by the fluctuated wireless connection or congested computing resource. During the service outage, the only choice is to process the deep neural network (DNN) inference at the local mobile devices. The obstacle is that due to the limited resource, it may not be possible to complete inference tasks on time. Inspired by the recently developedearly exit of DNNs, where we can exit DNN at earlier layers to shorten the inference delay by sacrificing an acceptable level of accuracy, we propose to adopt such mechanism to process inference tasks during the service outage. The challenge is how to obtain the optimal schedule with diverse early exit choices. To this end, we formulate an optimal scheduling problem with the objective to maximize a general overall utility. However, the problem is in the form of integer programming, which cannot be solved by a standard approach. We therefore prove the Ordered Scheduling structure, indicating that a frame arrived earlier must be scheduled earlier. Such structure greatly decreases the searching space for an optimal solution. Then, we propose the Scheduling Early Exit (SEE) algorithm based on dynamic programming, to solve the problem optimally with polynomial computational complexity. Finally, we conduct trace-driven simulations and compare SEE with two benchmarks. The result shows that SEE can outperform the benchmarks by 50.9%.
Year
DOI
Venue
2019
10.1145/3345768.3355917
Proceedings of the 22nd International ACM Conference on Modeling, Analysis and Simulation of Wireless and Mobile Systems
Keywords
Field
DocType
computation offloading, dnn inference, early exit, edge computing
Computer science,Scheduling (computing),Inference,Computer network,Distributed computing
Conference
ISBN
Citations 
PageRank 
978-1-4503-6904-6
1
0.37
References 
Authors
0
6
Name
Order
Citations
PageRank
Zizhao Wang113.75
Wei Bao210011.71
Dong Yuan3336.68
Liming Ge422.07
Nguyen H. Tran539952.48
Albert Y. Zomaya65709454.84