Comprehensive survey on energy-aware server consolidation techniques in cloud computing
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 …
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
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 …
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
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 …
networks employed to provide the necessary capacity increase. The small cells are installed …
AdPSO: adaptive PSO-based task scheduling approach for cloud computing
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 …
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
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 …
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 …
different length, starting time and execution time. Therefore, balancing these loads among …
A secure IoT applications allocation framework for integrated fog-cloud environment
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 …
environment such as healthcare, smart agriculture, smart cities, transportation, and water …
ARPS: An autonomic resource provisioning and scheduling framework for cloud platforms
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 …
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
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 …
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 …
resources for the execution of the end user's tasks. The cloud users lease optimal resources …