[HTML][HTML] Utilizing power consumption and SLA violations using dynamic VM consolidation in cloud data centers
Cloud Computing services can be accessed anytime, anywhere via the Internet. The
overwhelming growth of cloud data centers over the past decade has increased their costs …
overwhelming growth of cloud data centers over the past decade has increased their costs …
[HTML][HTML] Advancements in intelligent cloud computing for power optimization and battery management in hybrid renewable energy systems: A comprehensive review
A cloud computing-based power optimization system (CC-POS) is an important enabler for
hybrid renewable-based power systems with higher output, optimal solutions to extend …
hybrid renewable-based power systems with higher output, optimal solutions to extend …
Software-defined networks for resource allocation in cloud computing: A survey
Cloud computing has a shared set of resources, including physical servers, networks,
storage, and user applications. Resource allocation is a critical issue for cloud computing …
storage, and user applications. Resource allocation is a critical issue for cloud computing …
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 …
Thermal prediction for efficient energy management of clouds using machine learning
S Ilager, K Ramamohanarao… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
Thermal management in the hyper-scale cloud data centers is a critical problem. Increased
host temperature creates hotspots which significantly increases cooling cost and affects …
host temperature creates hotspots which significantly increases cooling cost and affects …
Two-phase industrial manufacturing service management for energy efficiency of data centers
Data-driven industrial manufacturing services are proliferating. They use large amounts of
data generated from Industrial-Internet-of-Things (IIoT) devices for intelligent services to end …
data generated from Industrial-Internet-of-Things (IIoT) devices for intelligent services to end …
Energy-efficient virtual machine scheduling in IaaS cloud environment using energy-aware green-particle swarm optimization
Cloud data centers have a huge pool of heterogeneous servers to seamlessly meet the ever-
increasing demand for cloud resources. Most of these servers belong to different server …
increasing demand for cloud resources. Most of these servers belong to different server …
A decentralized adaptation of model-free Q-learning for thermal-aware energy-efficient virtual machine placement in cloud data centers
The traditional method of saving energy in Virtual Machine Placement (VMP) is based on
consolidating more virtual machines (VMs) in fewer servers and putting the rest in sleep …
consolidating more virtual machines (VMs) in fewer servers and putting the rest in sleep …
Power and thermal-aware virtual machine scheduling optimization in cloud data center
Virtual machine (VM) consolidation technology is a commonly used energy-saving method
in data centers. Most of the existing methods are committed to consolidating VMs to a small …
in data centers. Most of the existing methods are committed to consolidating VMs to a small …
Energy-aware bag-of-tasks scheduling in the cloud computing system using hybrid oppositional differential evolution-enabled whale optimization algorithm
Bag-of-Tasks (BoT) scheduling over cloud computing resources called Cloud Bag-of-Tasks
Scheduling (CBS) problem, which is a well-known NP-hard optimization problem. Whale …
Scheduling (CBS) problem, which is a well-known NP-hard optimization problem. Whale …