Hybridization of firefly and improved multi-objective particle swarm optimization algorithm for energy efficient load balancing in cloud computing environments

AFS Devaraj, M Elhoseny, S Dhanasekaran… - Journal of Parallel and …, 2020 - Elsevier
Abstract Load balancing, in Cloud Computing (CC) environment, is defined as the method of
splitting workloads and computing properties. It enables the enterprises to manage workload …

Deadline-based dynamic resource allocation and provisioning algorithms in fog-cloud environment

RK Naha, S Garg, A Chan, SK Battula - Future Generation Computer …, 2020 - Elsevier
The Fog computing paradigm is becoming prominent in supporting time-sensitive
applications that are related to the smart Internet of Things (IoT) services, such as smart city …

A new energy-aware tasks scheduling approach in fog computing using hybrid meta-heuristic algorithm

P Hosseinioun, M Kheirabadi, SRK Tabbakh… - Journal of Parallel and …, 2020 - Elsevier
In recent years, large computational problems have beensolved by the distributed
environment in which applications are executed in parallel. Also, lately, fog computing or …

Demand-driven deep reinforcement learning for scalable fog and service placement

H Sami, A Mourad, H Otrok… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
The increasing number of Internet of Things (IoT) devices necessitates the need for a more
substantial fog computing infrastructure to support the users' demand for services. In this …

Backdoor attacks against transfer learning with pre-trained deep learning models

S Wang, S Nepal, C Rudolph, M Grobler… - IEEE Transactions …, 2020 - ieeexplore.ieee.org
Transfer learning provides an effective solution for feasibly and fast customize accurate
Student models, by transferring the learned knowledge of pre-trained Teacher models over …

TRAM: Technique for resource allocation and management in fog computing environment

H Wadhwa, R Aron - The Journal of Supercomputing, 2022 - Springer
The traditional cloud computing technology provides services to a plethora of applications
by providing resources. These services support numerous industries for computational …

[HTML][HTML] An IoT-based resource utilization framework using data fusion for smart environments

D Fawzy, SM Moussa, NL Badr - Internet of Things, 2023 - Elsevier
Nowadays, many communities are emerging towards smart environments, requiring the
communication and collaboration of diverse Internet-of-Things (IoT) devices. A smart …

Cloud-based multi-agent cooperation for IoT devices using workflow-nets

Y Kotb, I Al Ridhawi, M Aloqaily, T Baker… - Journal of Grid …, 2019 - Springer
Abstract Most Internet of Things (IoT)-based service requests require excessive computation
which exceeds an IoT device's capabilities. Cloud-based solutions were introduced to …

Self-adapting cloud services orchestration for fulfilling intensive sensory data-driven IoT workflows

MA Serhani, HT El-Kassabi, K Shuaib… - Future Generation …, 2020 - Elsevier
Cloud computing has been adopted to support among others the storage and processing of
complex Internet of Things (IoT) workflows handling sensory streamed time-series data. IoT …

Energy-efficient IoT service composition for concurrent timed applications

M Sun, Z Zhou, J Wang, C Du, W Gaaloul - Future Generation Computer …, 2019 - Elsevier
Abstract The Internet of Things (IoT) paradigm has established an efficient platform to enable
the collaboration and cooperation of self-configurable and energy-aware IoT nodes for …