Resource allocation in fog–cloud environments: state of the art

M Zolghadri, P Asghari, SE Dashti… - Journal of Network and …, 2024 - Elsevier
The rapid expansion of omnipresent phenomena, exemplified by the Internet of Things (IoT),
necessitates significant consideration of data volume and processing requirements. Cloud …

Digital twin-assisted resource allocation framework based on edge collaboration for vehicular edge computing

SR Jeremiah, LT Yang, JH Park - Future Generation Computer Systems, 2024 - Elsevier
Abstract Vehicular Edge Computing (VEC) supports latency-sensitive and computation-
intensive vehicular applications by providing caching and computing services in vehicle …

Optimal energy-efficient resource allocation and fault tolerance scheme for task offloading in IoT-FoG computing networks

B Premalatha, P Prakasam - Computer networks, 2024 - Elsevier
Due to technology development in the recent past, it is observed that an exponential growth
in the usage of high speed intelligent devices which includes smart objects, smart home …

Resource allocation problem and artificial intelligence: the state-of-the-art review (2009–2023) and open research challenges

J Hassannataj Joloudari, S Mojrian, H Saadatfar… - Multimedia Tools and …, 2024 - Springer
With the increasing growth of information through smart devices, enhancing the quality of
human life necessitates the adoption of various computational paradigms including, cloud …

Task scheduling mechanisms for fog computing: A systematic survey

M Hosseinzadeh, E Azhir, J Lansky, S Mildeova… - IEEE …, 2023 - ieeexplore.ieee.org
In the Internet of Things (IoT) ecosystem, some processing is done near data production
sites at higher speeds without the need for high bandwidth by combining Fog Computing …

Star-quake: A new operator in multi-objective gravitational search algorithm for task scheduling in IoT-based cloud–fog computing system

JZ Ahmadabadi, SE Mood… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
The past decade has witnessed the advancement of Internet of Things (IoT). Task
scheduling is the most important challenge in this system for managing makespan, energy …

A two-stage reinforcement learning-based approach for multi-entity task allocation

A Gong, K Yang, J Lyu, X Li - Engineering Applications of Artificial …, 2024 - Elsevier
Task allocation is a key combinatorial optimization problem, crucial for modern applications
such as multi-robot cooperation and resource scheduling. Decision makers must allocate …

RAPTS: resource aware prioritized task scheduling technique in heterogeneous fog computing environment

M Hussain, S Nabi, M Hussain - Cluster Computing, 2024 - Springer
Abstract The Internet of Things (IoT) is an emerging technology incorporating various
hardware devices and software applications to exchange, analyze, and process a huge …

Vehicular fog resource allocation approach for VANETs based on deep adaptive reinforcement learning combined with heuristic information

Y Cheng, A Vijayaraj, KS Pokkuluri, T Salehnia… - IEEE …, 2024 - ieeexplore.ieee.org
Intelligent Transport Systems (ITS) are gradually progressing to practical application
because of the rapid growth in network and information technology. Currently, the low …

Ha-a2c: Hard attention and advantage actor-critic for addressing latency optimization in edge computing

J Yang, JL Lu, X Zhou, SB Li… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Due to the rapid development of the IoT and data-driven applications, low-latency task
scheduling methods that quickly respond to user tasks has become a significant challenge …