A User-Centric QoS-Aware Multi-Path Service Provisioning in Mobile Edge Computing

Saif Ur Rehman Malik*, Tehsin Kanwal, Samee U. Khan, HASSAN MALIK, Haris Pervaiz

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

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Abstract

Recent development in modern wireless applications and services, such as augmented reality, image processing, and network gaming requires persistent computing on average commercial wireless devices to perform complex tasks with low latency. The traditional cloud systems are unable to meet those requirements solely. In the said perspective, Mobile Edge Computing (MEC) serves as a proxy between the things (devices) and the cloud, pushing the computations at the edge of the network. The MEC provides an effective solution to fulfill the demands of low-latency applications and services by executing most of the tasks within the proximity of users. The main challenge, however, is that too many simultaneous service requests created by wireless access produce severe interference, resulting in a decreased rate of data transmission. In this paper, we made an attempt to overcome the aforesaid limitation by proposing a user-centric QoS-aware multi-path service provisioning approach. A densely deployed base station MEC environment has overlapping coverage regions. We exploit such regions to distribute the service requests in a way that avoid hotspots and bottlenecks. Our approach is adaptive and can tune to different parameters based on service requirements. We performed several experiments to evaluate the effectiveness of our approach and compared it with the traditional Greedy approach. The results revealed that our approach improves the network state by 26.95% and average waiting time by 35.56% as compared to the Greedy approach. In addition, the QoS violations were also reduced by the fraction of 16.
Original languageEnglish
Pages (from-to)56020 - 56030
JournalIEEE Access
Volume9
Early online date31 Mar 2021
DOIs
Publication statusPublished - 31 Mar 2021

Keywords

  • Mobile edge computing
  • Internet of things (IoT)
  • quality of service (QoS)
  • Service provision
  • Multipath Routing
  • high level petri nets

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