Results 21 to 30 of about 5,665,701 (287)
EURASIP Journal on Wireless Communications and Networking, 2020 In order to improve the adaptive management ability of virtual machine placement in cloud computing, an adaptive management and multi-objective optimization method for virtual machine placement in cloud computing is proposed based on particle swarm ...
Shuxiang Li, Xianbing Pan
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A comprehensive survey on load balancing techniques for virtual machines
Sistemnì Doslìdženâ ta Informacìjnì Tehnologìï, 2023 Cloud computing is an emerging technique with remarkable features such as scalability, high flexibility, and reliability. Since this field is growing exponentially, more users are attracted to fast and better service.
Suman Sansanwal, Nitin Jain
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Virtual Machine Placement Using Energy Efficient Particle Swarm Optimization in Cloud Datacenter
Cybernetics and Information Technologies, 2021 Efficient resource allocation through Virtual machine placement in a cloud datacenter is an ever-growing demand. Different Virtual Machine optimization techniques are constructed for different optimization problems.
Madhumala R. B. +2 more
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An Intelligent Approach to Resource Allocation on Heterogeneous Cloud Infrastructures
Applied Sciences, 2021 Cloud computing systems are rapidly evolving toward multicloud architectures supported on heterogeneous hardware. Cloud service providers are widely offering different types of storage infrastructures and multi-NUMA architecture servers.
Jack Marquez +2 more
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Parallel Virtual Machines Placement with Provable Guarantees
CoRR, 2022 Network Function Virtualization (NFV) carries the potential for on-demand deployment of network algorithms in virtual machines (VMs). In large clouds, however, VM resource allocation incurs delays that hinder the dynamic scaling of such NFV deployment.
Itamar Cohen +5 more
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Profile-based virtual machine placement for energy optimization of data centers [PDF]
, 2017 This thesis provides a framework for virtual resource placement to optimize energy consumption in data centers. The framework consists of three phases: profiling, task classification, and virtual machine placement, and automatically conducts virtual ...
Ding, Zhe
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International Journal of Intelligent Networks, 2023 In cloud environments, optimization of resource utilizations is one among the predominant challenges. The two sub-research topics are cloud resource prediction and allocation.
P. Karthikeyan
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Virtual numbers for virtual machines? [PDF]
, 2014 Knowing the number of virtual machines (VMs) that a cloud physical hardware can (further) support is critical as it has implications on provisioning and hardware procurement. However, current methods for estimating the maximum number of VMs possible on a
Ko, Ryan K. L. +7 more
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An optimal VM Placement in Cloud Data Centers Based on Discrete Chaotic Whale Optimization Algorithm [PDF]
Journal of Advances in Computer Engineering and Technology, 2020 Cloud computing, with its immense potentials in low cost and on-demand services, is a promising computing platform for both commercial and non-commercial computation applications.
mohammad masdari +2 more
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Algorithms, 2022 Due to the large-scale development of cloud computing, data center electricity energy costs have increased rapidly. Energy saving has become a major research direction of virtual machine placement problems.
Nawaf Alharbe +2 more
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