Malik, Saif UR and Kanwal, Tehsin and Khan, Samee U and Malik, Hassan and Pervaiz, Haris (2021) A User-Centric QoS-Aware Multi-Path Service Provisioning in Mobile Edge Computing. IEEE Access, 9. pp. 56020-56030. DOI https://doi.org/10.1109/access.2021.3070104
Malik, Saif UR and Kanwal, Tehsin and Khan, Samee U and Malik, Hassan and Pervaiz, Haris (2021) A User-Centric QoS-Aware Multi-Path Service Provisioning in Mobile Edge Computing. IEEE Access, 9. pp. 56020-56030. DOI https://doi.org/10.1109/access.2021.3070104
Malik, Saif UR and Kanwal, Tehsin and Khan, Samee U and Malik, Hassan and Pervaiz, Haris (2021) A User-Centric QoS-Aware Multi-Path Service Provisioning in Mobile Edge Computing. IEEE Access, 9. pp. 56020-56030. DOI https://doi.org/10.1109/access.2021.3070104
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.
Item Type: | Article |
---|---|
Uncontrolled Keywords: | Mobile edge computing; Internet of Things (IoT); quality of service (QoS); service provisioning; multi-path routing; high level petri nets |
Divisions: | Faculty of Science and Health Faculty of Science and Health > Computer Science and Electronic Engineering, School of |
SWORD Depositor: | Unnamed user with email elements@essex.ac.uk |
Depositing User: | Unnamed user with email elements@essex.ac.uk |
Date Deposited: | 24 Sep 2023 09:14 |
Last Modified: | 30 Oct 2024 21:34 |
URI: | http://repository.essex.ac.uk/id/eprint/36462 |
Available files
Filename: A_User-Centric_QoS-Aware_Multi-Path_Service_Provisioning_in_Mobile_Edge_Computing.pdf
Licence: Creative Commons: Attribution 4.0