Comprehensive survey on energy-aware server consolidation techniques in cloud computing

N Chaurasia, M Kumar, R Chaudhry… - The Journal of …, 2021 - Springer
The objective of cloud computing is to provide seamless services using virtualization
technology over the Internet to serve the Quality of Service (QoS)-driven end users …

Resource scheduling methods in cloud and fog computing environments: a systematic literature review

A Rahimikhanghah, M Tajkey, B Rezazadeh… - Cluster …, 2022 - Springer
In recent years, cloud computing can be considered an emerging technology that can share
resources with users. Because cloud computing is on-demand, efficient use of resources …

Energy-aware hierarchical resource management and backhaul traffic optimization in heterogeneous cellular networks

A Mohajer, F Sorouri, A Mirzaei, A Ziaeddini… - IEEE Systems …, 2022 - ieeexplore.ieee.org
The dense deployment of small-cell networks is a key feature of the next-generation mobile
networks employed to provide the necessary capacity increase. The small cells are installed …

AdPSO: adaptive PSO-based task scheduling approach for cloud computing

S Nabi, M Ahmad, M Ibrahim, H Hamam - Sensors, 2022 - mdpi.com
Cloud computing has emerged as the most favorable computing platform for researchers
and industry. The load balanced task scheduling has emerged as an important and …

Distributed Grey Wolf Optimizer for scheduling of workflow applications in cloud environments

BH Abed-Alguni, NA Alawad - Applied Soft Computing, 2021 - Elsevier
Optimal scheduling of workflows in cloud computing environments is an essential element to
maximize the utilization of Virtual Machines (VMs). In practice, scheduling of dependent …

[HTML][HTML] A novel load balancing technique for cloud computing platform based on PSO

A Pradhan, SK Bisoy - Journal of King Saud University-Computer and …, 2022 - Elsevier
In cloud computing environment tasks are allocated among virtual machines (VMs) having
different length, starting time and execution time. Therefore, balancing these loads among …

A secure IoT applications allocation framework for integrated fog-cloud environment

K Dubey, SC Sharma, M Kumar - Journal of Grid Computing, 2022 - Springer
Applications of the Internet of Things (IoT) are used in several areas to create a smart
environment such as healthcare, smart agriculture, smart cities, transportation, and water …

ARPS: An autonomic resource provisioning and scheduling framework for cloud platforms

M Kumar, A Kishor, J Abawajy… - IEEE Transactions …, 2021 - ieeexplore.ieee.org
With Cloud computing becoming mainstream for the execution of various applications, the
multi-objective scheduling algorithms for providing the most suitable services to users have …

Optimizing bag-of-tasks scheduling on cloud data centers using hybrid swarm-intelligence meta-heuristic

A Chhabra, KC Huang, N Bacanin… - The Journal of …, 2022 - Springer
Usually, a large number of concurrent bag-of-tasks (BoTs) application execution requests
are submitted to cloud data centers (CDCs), which needs to be optimally scheduled on the …

PSO-RDAL: Particle swarm optimization-based resource-and deadline-aware dynamic load balancer for deadline constrained cloud tasks

S Nabi, M Ahmed - The Journal of Supercomputing, 2022 - Springer
Cloud computing is an Internet-provisioned computing paradigm that provides scalable
resources for the execution of the end user's tasks. The cloud users lease optimal resources …