[HTML][HTML] Cloud-load forecasting via decomposition-aided attention recurrent neural network tuned by modified particle swarm optimization
Recent improvements in networking technologies have led to a significant shift towards
distributed cloud-based services. However, adequate management of computation …
distributed cloud-based services. However, adequate management of computation …
Efficient job scheduling paradigm based on hybrid sparrow search algorithm and differential evolution optimization for heterogeneous cloud computing platforms
MI Khaleel - Internet of Things, 2023 - Elsevier
The job scheduling paradigms include dispatching Internet of Things (IoT) critical services
onto processing nodes. Here most energy is consumed in finding suitable virtual machines …
onto processing nodes. Here most energy is consumed in finding suitable virtual machines …
Resource scheduling techniques for optimal quality of service in fog computing environment: a review
Abstract in present-day Internet of Things (IoT) is a trending technology and playing a vital
role in human life to build up a quality life. With the advancement in IoT devices, Fog …
role in human life to build up a quality life. With the advancement in IoT devices, Fog …
[HTML][HTML] Review and analysis of secure energy efficient resource optimization approaches for virtual machine migration in cloud computing
H Kaur, A Anand - Measurement: Sensors, 2022 - Elsevier
Computing operations such as databases, networks, hardware, programs, analytics, and so
on are all part of the cloud computing service. As such, it may serve as an option to in-house …
on are all part of the cloud computing service. As such, it may serve as an option to in-house …
QoS aware task consolidation approach for maintaining SLA violations in cloud computing
This paper aims to achieve a better Quality of Service (QoS) through Modified Task
Consolidation (MTC) approach. The proposed MTC approach defines virtual machines …
Consolidation (MTC) approach. The proposed MTC approach defines virtual machines …
An efficient dynamic decision-based task optimization and scheduling approach for microservice-based cost management in mobile cloud computing applications
The use of smartphones and mobile devices has increased significantly, as have Mobile
Cloud Applications based on cloud computing. These applications are used in various …
Cloud Applications based on cloud computing. These applications are used in various …
Iot and data mining techniques to detect and regulating of solar power system
KSR Kumar, RR Solanke, G Laxmaiah… - 2023 International …, 2023 - ieeexplore.ieee.org
As a result of its practical and long-term benefits, renewable energy sources are the subject
of intensive study. For instance, solar power stations are among the renewable energy …
of intensive study. For instance, solar power stations are among the renewable energy …
Resource scheduling in fog environment using optimization algorithms for 6g networks
In the traditional system, various researchers have suggested different resource scheduling
and optimization algorithms. However, still, there is a scope to reduce Bandwidth, latency …
and optimization algorithms. However, still, there is a scope to reduce Bandwidth, latency …
Scheduling tasks based on branch and bound algorithm in cloud computing environment
P Singh - 2021 8th International Conference on Signal …, 2021 - ieeexplore.ieee.org
Cloud computing is an ideal way for large-scale distributed computing and parallel
processing. Cloud computing supports a vast number of services which covers a large …
processing. Cloud computing supports a vast number of services which covers a large …
Task management in IoT-Fog-Cloud environment employing static scheduling Techniques
In a distributed computing system, there are limited resources, which needs to be utilized
effectively. Then for improving QoS Fog computing paradigm is an effective way, with …
effectively. Then for improving QoS Fog computing paradigm is an effective way, with …