Joint offloading and scheduling decisions for DAG applications in mobile edge computing

J Liang, K Li, C Liu, K Li - Neurocomputing, 2021 - Elsevier
Mobile edge computing (MEC) is a promising technology to support computation-intensive
tasks for mobile devices which are usually associated with limited resources. Many …

A multi-user tasks offloading scheme for integrated edge-fog-cloud computing environments

SD Okegbile, BT Maharaj… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
This paper presents a multi-user, multi-class and multi-layer edge computing-based
framework for effective task offloading and computation processes. Important system …

Cooperative computation offloading in FiWi enhanced 4G HetNets using self-organizing MEC

A Ebrahimzadeh, M Maier - IEEE Transactions on Wireless …, 2020 - ieeexplore.ieee.org
Multi-access edge computing (MEC) is an emerging paradigm to meet the rapidly growing
computation demands of mobile applications. This paper investigates the performance gains …

ScalEdge: A framework for scalable edge computing in Internet of things–based smart systems

M Babar, M Sohail Khan - International Journal of …, 2021 - journals.sagepub.com
Edge computing brings down storage, computation, and communication services from the
cloud server to the network edge, resulting in low latency and high availability. The Internet …

Latency optimization for cellular assisted mobile edge computing via non-orthogonal multiple access

L Qian, Y Wu, J Ouyang, Z Shi, B Lin… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
In this article, we investigate the cellular assisted mobile edge computing (MEC) via non-
orthogonal multiple access (NOMA), where a group of edge-computing users (EUs) exploit …

A high-efficiency learning model for virtual machine placement in mobile edge computing

C Jian, L Bao, M Zhang - Cluster Computing, 2022 - Springer
Mobile edge computing requires more and more high-performance servers, resulting in
increasing energy consumption. As a well-established way to reduce energy consumption …

System-centric computation energy efficiency for distributed NOMA-based MEC networks

Y Ye, L Shi, H Sun, RQ Hu, G Lu - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
Energy-efficient communication is one of the most pertaining issues in realizing mobile edge
computing (MEC) networks. How to effectively use non-orthogonal multiple access (NOMA) …

A novel deep reinforcement learning based service migration model for mobile edge computing

SW Park, A Boukerche, S Guan - 2020 IEEE/ACM 24th …, 2020 - ieeexplore.ieee.org
Cloud Computing has emerged as a foundation of smart environments by encapsulating
and virtualizing the underlying design and implementation details. Concerning the inherent …

Edge computing: Classification, applications, and challenges

G Kaur, RS Batth - 2021 2nd International Conference on …, 2021 - ieeexplore.ieee.org
Edge computing is a relatively recent phenomenon in the computing world, which takes
cloud computing services closer to the end user and is distinguished by fast processing and …

Reinforcement learning-based optimization for mobile edge computing scheduling game

T Wang, B Lu, W Wang, W Wei… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Task scheduling on edge computing servers is a critical concern affecting user experience.
Current scheduling methods attain an overall appealing performance through centralized …