Paper Info
Title
Task Scheduling Based on Priority and Resource Allocation in Multi-User Multi-Task Mobile Edge Computing System
Abstract
Traditional cellular networks are unable to support the delay sensitive applications (e.g. vehicular networks, augmented reality). To cope with these challenges, mobile Edge Computing (MEC) has emerged as a new paradigm with computing capabilities in close proximity to the edge of wireless cellular network. In this paper, we study resource allocation for a multi-user multi-task (MUMT) MEC system based on orthogonal frequency-division multiple access (OFDMA). Each computation task is independent with different priorities. In this regard, we propose a priority based task scheduling policy and jointly optimize the computation and communication resource allocation, so as to maximize profit of mobile network operator (MNO) while satisfying the users quality of service (QoS), power consumption at user and base station (BS), and service rate allocation. Building on the proposed model, we develop an innovative framework to improve the MEC performance, by jointly optimizing the service rate, transmit power and subcarrier allocation under satisfying maximum power and service rate, and delay constraints. Our proposed algorithms are finally verified by numerical results which show that the proposed approach outperforms other benchmark schemes. For example, in the Priority queuing schemes, the performance can be improved compared to No-priority queuing.
Year
DOI
Venue
2019
10.1109/PIMRC.2019.8904174
2019 IEEE 30th Annual International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC)
Keywords
Field
DocType
service rate allocation,transmit power,subcarrier allocation,Priority queuing schemes,multiuser multitask mobile Edge Computing system,traditional cellular networks,delay sensitive applications,vehicular networks,wireless cellular network,multiuser multitask MEC system,orthogonal frequency-division multiple access,computation task,priority based task scheduling policy,communication resource allocation,mobile network operator,base station,users quality of service
Scheduling (computing),Computer science,Computer network,Mobile edge computing,Resource allocation,Multi-user
Conference
ISSN
ISBN
Citations 
2166-9570
978-1-5386-8111-4
0
PageRank 
References 
Authors
0.34
8
3
Name
Order
Citations
PageRank
Pouria Paymard101.01
Nader Mokari229340.54
Mahdi Orooji341.17