Paper Info
Title
Stochastic Programming Method for Offloading in Mobile Edge Computing based Internet of Vehicle
Abstract
In Mobile Edge Computing based Internet of Vehicle (MEC-IoV), how to assign suitable task to MEC to satisfy the requirement under the constraints is the most important issue. Usually, in the practical system, due to the random movement and changing traffic load, the connection between vehicle user and MEC server is uncertain, and this makes it difficult to assign the suitable task in offloading. Considering the uncertainty and the corresponding impact, this paper proposes a stochastic programming methodology to snake offloading policy. To this end, the task offloading problem is formulated as a MultiStage Stochastic Programming (MSSP) minimizing the expected cost function caused by offloading while considering the energy consumption. The experimental results show that the proposed MSSP method for offloading decision-making can effectively reduce the total cost in stochastic scenarios.
Year
DOI
Venue
2019
10.1109/ICC.2019.8761453
IEEE International Conference on Communications
Field
DocType
ISSN
Traffic load,Computer science,Computer network,Mobile edge computing,Expected cost,Stochastic programming,Energy consumption,Total cost,The Internet
Conference
1550-3607
Citations 
PageRank 
References 
0
0.34
0
Authors
2
Name
Order
Citations
PageRank
Long Zhang18213.55
Bin Cao28512.64