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Multiple objectives dynamic VM placement for application service availability in cloud networks
Ensuring application service availability is a critical aspect of delivering quality cloud computing services. However, placing virtual machines...
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An energy-efficient black widow-based adaptive VM placement approach for cloud computing
The demand for cloud-based computation is increasing exponentially in the age of information technology virtualization, which is increasing data...
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Energy-Efficient and Load-Aware VM Placement in Cloud Data Centers
VM consolidation has been proposed as an effective solution to improve resource utilization and energy efficiency through VM migration. Improper VM...
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Energy-efficient communication-aware VM placement in cloud datacenter using hybrid ACO–GWO
Virtual machine placement (VMP) is the process of map** virtual machines to physical machines, which is very important for resource utilization in...
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Task scheduling and VM placement to resource allocation in Cloud computing: challenges and opportunities
Recently, there has been growing interest in distributed models for addressing issues related to Cloud computing environments, particularly resource...
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Communication-aware, energy-efficient VM placement in cloud data center using ant colony optimization
The many advantages of the cloud computing trend are being recognised by an increasing number of tech-savvy companies and industry leaders utilising...
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MOM-VMP: multi-objective mayfly optimization algorithm for VM placement supported by principal component analysis (PCA) in cloud data center
Cloud computing provides consumers and organizations with shared pools of resources for data storage and processing and its optimization is essential...
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An efficient proactive VM consolidation technique with improved LSTM network in a cloud environment
The power consumption of datacenters is multiplying, and several survey reports stated that the power consumption of datacenters will reach...
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Efficient Virtual Machine Placement Strategy Based on Enhanced Genetic Approach
The background of the study is rooted in the critical importance of efficient virtual machine (VM) placement in cloud computing environments. VM...
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Virtual Machine Placement Using Adam White Shark Optimization Algorithm in Cloud Computing
The increasing demand for virtual machine (VM) request is caused due to the increasing number of users. Hence, the VM placement is considered as a...
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Virtual machine placement in energy aware load balancer using fog classifier
Cloud datacenter carries huge volume of data and tasks which is allocating resources to multiple workstations. Most of the cloud services are...
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Cooperative Virtual Machine Placement
Server virtualisation has played a preponderant role in cloud computing success todate. It controls hardware resource access and management for...
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An ACO-based multi-objective optimization for cooperating VM placement in cloud data center
High-performance computing requires numerous virtual machines (VMs) to meet the demand for services of the end-users. Such computation generates high...
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Energy-efficient virtual machine placement algorithm based on power usage
The evolution of cloud computing results in the development of numerous huge data-centers. These data-centers use large quantities of electrical...
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A DRL-based online VM scheduler for cost optimization in cloud brokers
The virtual machine (VM) scheduling problem in cloud brokers that support cloud bursting is fraught with uncertainty due to the on-demand nature of...
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Virtual machine placement in service-oriented computing environments
Service-oriented computing (SoC) is a growing environment due to its ability to develop distributed applications at low-cost and rapid composition....
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GreenPacker: renewable- and fragmentation-aware VM placement for geographically distributed green data centers
The growing interest in cloud-based services has made the cost of energy a major concern for cloud service providers. On the other hand, there is an...
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Optimizing Resource Consumption and Reducing Power Usage in Data Centers, A Novel Mathematical VM Replacement Model and Efficient Algorithm
This study addresses the issue of power consumption in virtualized cloud data centers by proposing a virtual machine (VM) replacement model and a...
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Optimal Meta-Heuristic Elastic Scheduling (OMES) for VM selection and migration in cloud computing
Virtualization is a powerful technique that allows numerous applications can execute on a single cloud server. The process is carried out by cramming...
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Energy optimized container placement for cloud data centers: a meta-heuristic approach
The cloud-computing paradigm based on containers has progressively grown in recent years as a flexible strategy that has proven to be energy...
