Dependent task offloading with deadline-aware scheduling in mobile edge networks
In the field of the Internet of Things (IoT), Edge computing has emerged as a revolutionary paradigm that offers unprecedented benefits by serving the IoT at the network edge. One of the primary advantages of edge computing is that it reduces the job completion time by offloading tasks at the edge s...
Saved in:
Main Authors: | Maray, M., Mustafa, E., Shuja, J., Bilal, M. |
---|---|
Format: | Article |
Published: |
Elsevier B.V.
2023
|
Online Access: | http://scholars.utp.edu.my/id/eprint/37335/ https://www.scopus.com/inward/record.uri?eid=2-s2.0-85165086130&doi=10.1016%2fj.iot.2023.100868&partnerID=40&md5=8165e27589c2708495ed2591ecc90a41 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Deadline-aware heuristics for reliability optimization in ubiquitous mobile edge computing
by: Zaman, S.K.U., et al.
Published: (2023) -
Mobility-aware offloading decision for multi-access edge computing in 5G networks
by: Jahandar, Saeid, et al.
Published: (2022) -
Mobility aware blockchain enabled offloading and scheduling in vehicular fog cloud computing
by: Lakhan, Abdullah, et al.
Published: (2021) -
Energy-Aware Fault Tolerant Task offloading of Mobile Cloud Computing
by: Abd S.K., et al.
Published: (2023) -
Task reverse offloading with deep reinforcement learning in multi-access edge computing
by: Saeed, Mamoon M., et al.
Published: (2023)