Age Based Task Scheduling and Computation Offloading in Mobile-Edge Computing Systems

05/28/2019
by   Xianxin Song, et al.
0

To support emerging real-time monitoring and control applications, the timeliness of computation results is of critical importance to mobile-edge computing (MEC) systems. We propose a performance metric called age of task (AoT) based on the concept of age of information (AoI), to evaluate the temporal value of computation tasks. In this paper, we consider a system consisting of a single MEC server and one mobile device running several applications. We study an age minimization problem by jointly considering task scheduling, computation offloading and energy consumption. To solve the problem efficiently, we propose a light-weight task scheduling and computation offloading algorithm. Through performance evaluation, we show that our proposed age-based solution is competitive when compared with traditional strategies.

READ FULL TEXT

page 1

page 2

page 3

page 4

research
12/02/2017

Price-Based Distributed Offloading for Mobile-Edge Computing with Computation Capacity Constraints

Mobile-edge computing (MEC) is a promising technology to enable real-tim...
research
07/03/2023

Minimizing Age of Information for Mobile Edge Computing Systems: A Nested Index Approach

Exploiting the computational heterogeneity of mobile devices and edge no...
research
02/24/2021

A Novel Graph-based Computation Offloading Strategy for Workflow Applications in Mobile Edge Computing

With the fast development of mobile edge computing (MEC), there is an in...
research
11/10/2022

Less Carbon Footprint in Edge Computing by Joint Task Offloading and Energy Sharing

In sprite the state-of-the-art, significantly reducing carbon footprint ...
research
01/10/2019

Online Energy-Efficient Scheduling for Timely Information Downloads in Mobile Networks

We consider a mobile network where a mobile device is running an applica...
research
07/28/2017

Hyperprofile-based Computation Offloading for Mobile Edge Networks

In recent studies, researchers have developed various computation offloa...
research
01/25/2022

Energy-Efficient Computation Offloading in MobileEdge Computing Systems with Uncertainties

Computation offloading is indispensable for mobile edge computing (MEC)....

Please sign up or login with your details

Forgot password? Click here to reset