[HTML][HTML] Combining Edge Computing-Assisted Internet of Things Security with Artificial Intelligence: Applications, Challenges, and Opportunities

D Rupanetti, N Kaabouch - Applied Sciences, 2024 - mdpi.com
The integration of edge computing with IoT (EC-IoT) systems provides significant
improvements in addressing security and privacy challenges in IoT networks. This paper …

Multi-objective task scheduling optimization for load balancing in cloud computing environment using hybrid artificial bee colony algorithm with reinforcement learning

B Kruekaew, W Kimpan - IEEE Access, 2022 - ieeexplore.ieee.org
Workload balancing in cloud computing is still challenging problem, especially in
Infrastructure as a Service (IaaS) in the cloud model. A problem that should not occur during …

A survey on cloud computing simulation and modeling

I Bambrik - SN Computer Science, 2020 - Springer
Cloud Computing (CC) has attracted a massive amount of research and investment in the
previous decade. The economical model proposed by this technology is a viable solution for …

[HTML][HTML] Review analysis on cloud computing based smart grid technology in the oil pipeline sensor network system

EB Priyanka, S Thangavel, XZ Gao - Petroleum Research, 2021 - Elsevier
Natural resources plays efficient contribution in the human world in the way of consuming
energy resources for the daily life cycle. The main concerns rely on the transporting oil from …

Optimized task scheduling and preemption for distributed resource management in fog-assisted IoT environment

H Wadhwa, R Aron - The Journal of Supercomputing, 2023 - Springer
The fog-assisted cloud computing gives better quality of service (QoS) to Internet of things
(IoT) applications. However, the large quantity of data transmitted by the IoT devices results …

A latency-aware task scheduling algorithm for allocating virtual machines in a cost-effective and time-sensitive fog-cloud architecture

P Memari, SS Mohammadi, F Jolai… - The Journal of …, 2022 - Springer
Recently, with the expansion of communications and generated data, the need for
processing this high volume of data in minimum time and maximum speed has increased …

Cloud computing based demand response management using deep reinforcement learning

C Song, G Han, P Zeng - IEEE Transactions on Cloud …, 2021 - ieeexplore.ieee.org
Demand response is an effective way for ensuring safety and stabilization of power grid by
maintaining the balance between the supply and the demand of power grid, and this article …

MONWS: Multi-objective normalization workflow scheduling for cloud computing

VR Pillareddy, GR Karri - Applied Sciences, 2023 - mdpi.com
Cloud computing is a prominent approach for complex scientific and business workflow
applications in the pay-as-you-go model. Workflow scheduling poses a challenge in cloud …

SLA-based scheduling of spark jobs in hybrid cloud computing environments

MT Islam, H Wu, S Karunasekera… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Big data frameworks such as Apache Spark is becoming prominent to perform large-scale
data analytics jobs in various domains. However, due to limited resource availability, the …