Server placement in mobile cloud computing: A comprehensive survey for edge computing, fog computing and cloudlet

A Asghari, MK Sohrabi - Computer Science Review, 2024 - Elsevier
The growing technology of the fifth generation (5G) of mobile telecommunications has led to
the special attention of cloud service providers (CSPs) to mobile cloud computing (MCC) …

Edge server placement problem in multi-access edge computing environment: models, techniques, and applications

B Bahrami, MR Khayyambashi, S Mirjalili - Cluster Computing, 2023 - Springer
Abstract Multi-Access Edge Computing (MEC) is known as a promising communication
paradigm that enables IoT and 5G scenarios by using edge servers located in the proximity …

Multi-objective edge server placement using the whale optimization algorithm and game theory

A Asghari, H Azgomi, Z Darvishmofarahi - Soft Computing, 2023 - Springer
Due to the users' mobility, new online applications, as well as low processing power and
limited energy of smart devices, traditional cloud computing models could not provide new …

Energy-aware server placement in mobile edge computing using trees social relations optimization algorithm

A Asghari, H Azgomi, AA Zoraghchian… - The Journal of …, 2024 - Springer
The advent of fifth-generation (5G) telecommunication technology and the rapid growth of
smart mobile equipment have led to many processing demands in this area. Many mobile …

Energy-aware edge server placement using the improved butterfly optimization algorithm

A Asghari, M Sayadi, H Azgomi - The Journal of Supercomputing, 2023 - Springer
To improve the quality of services provided to their customers, cloud service providers move
some of their resources closer to the users. Proper server placement, considering the …

Multi-Objective Placement of Edge Servers in MEC Environment Using a Hybrid Algorithm Based on NSGA-II and MOPSO

B Bahrami, MR Khayyambashi… - IEEE Internet of Things …, 2024 - ieeexplore.ieee.org
In a Mobile Edge Computing (MEC) environment, latency and energy consumption can be
reduced by offloading tasks from mobile devices to Edge Servers (ESs) instead of remote …

Workload-based adaptive decision-making for edge server layout with deep reinforcement learning

S Li, Y Zhou, B Zhou, Z Wang - Engineering Applications of Artificial …, 2025 - Elsevier
Mobile edge computing (MEC) is crucial in applications such as intelligent transportation,
innovative healthcare, and smart cities. By deploying servers with computing and storage …

RESP: A Recursive Clustering Approach for Edge Server Placement in Mobile Edge Computing

AA Vali, S Azizi, M Shojafar - ACM Transactions on Internet Technology, 2024 - dl.acm.org
With the rapid advancement of the Internet of Things (IoT) and 5G networks in smart cities,
the inevitable generation of massive amounts of data, commonly known as big data, has …

AI 算法在车联网通信与计算中的应用综述

康宇, 刘雅琼, 赵彤雨, 寿国础 - 电信科学, 2023 - infocomm-journal.com
在5G 时代, 车联网的通信和计算发展受到信息量急速增加的限制. 将AI 算法应用在车联网,
可以实现车联网通信和计算方面的新突破. 调研了AI 算法在通信安全, 通信资源分配 …

Dynamic Time-of-Use Pricing for Serverless Edge Computing with Generalized Hidden Parameter Markov Decision Processes

F Tütüncüoğlu, A Ben-Ameur, G Dán… - 2024 IEEE 44th …, 2024 - ieeexplore.ieee.org
The commercial adoption of Edge Computing (EC) will require pricing schemes that cater to
the financial interests of the operators and of the users. Pricing in EC is particularly …