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Resource allocation in fog–cloud environments: state of the art
The rapid expansion of omnipresent phenomena, exemplified by the Internet of Things (IoT),
necessitates significant consideration of data volume and processing requirements. Cloud …
necessitates significant consideration of data volume and processing requirements. Cloud …
Digital twin-assisted resource allocation framework based on edge collaboration for vehicular edge computing
Abstract Vehicular Edge Computing (VEC) supports latency-sensitive and computation-
intensive vehicular applications by providing caching and computing services in vehicle …
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 …
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
With the increasing growth of information through smart devices, enhancing the quality of
human life necessitates the adoption of various computational paradigms including, cloud …
human life necessitates the adoption of various computational paradigms including, cloud …
Task scheduling mechanisms for fog computing: A systematic survey
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 …
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
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 …
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
Task allocation is a key combinatorial optimization problem, crucial for modern applications
such as multi-robot cooperation and resource scheduling. Decision makers must allocate …
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 …
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 …
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
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 …
scheduling methods that quickly respond to user tasks has become a significant challenge …