Interval grey number of energy consumption helps task offloading in the mobile environment
Yongsheng Hao,
Qi Wang,
Jie Cao,
Tinghuai Ma,
Jinglin Du,
Xin Zhang
Affiliations
Yongsheng Hao
School of Mathematics and Statistics, Nanjing University of Information Science & Technology, Nanjing, 210044, China; Network Center, Nanjing University of Information Science & Technology, Nanjing, 210044, China; Corresponding author at: School of Mathematics and Statistics, Nanjing University of Information Science & Technology, Nanjing, 210044, China.
Qi Wang
Fudan University, China; Corresponding authors.
Jie Cao
School of Mathematics and Statistics, Nanjing University of Information Science & Technology, Nanjing, 210044, China; Management school, Xuzhou University of Technology, Xuzhou, 221018, China; Corresponding authors.
Tinghuai Ma
Management school, Xuzhou University of Technology, Xuzhou, 221018, China
Jinglin Du
Network Center, Nanjing University of Information Science & Technology, Nanjing, 210044, China
Xin Zhang
Wenzhou Medical University, School of Ophthalmology & Optometry, (School of Biomedical Engineering), Wenzhou, 325035, China; Corresponding authors.
The mobile device has been widely used in many areas. Task offloading is always used to overcome the limitation of processing ability and energy-supply of the mobile devices in the mobile cloud environment. Most researches suppose we know the detail of task (number of instructions) of every sub-task. But most of time, to get the detail of a task is very difficult. This paper uses the grey number to express that uncertain information and propose method to evaluate the performance of offloading tasks. Simulations show that our method selects the solution with the lowest energy consumption.
