An efficient resource utilization technique for consolidation of virtual machines in cloud computing environments

Selim, Gamal Eldin I.; El-Rashidy, Mohamed A.; El-Fishawy, Nawal

doi:10.1109/nrsc.2016.7450844

Cited by 12 publications

(2 citation statements)

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“…In [13], the authors focused issues of migrating virtual machines (VMs) among various physical hosts is crucial for resource use and carbon dioxide (CO2) minimization in cloud data centers. The proposed method CPU Utilization Variance (CUV) depends on choosing the best VMs from over utilized servers and moving them into different servers to spare the used resources and not to damage the SLA built up between clients and cloud service provider.…”

Section: Related Workmentioning

confidence: 99%

Efficient Energy Utilization in Cloud Fog Environment

Hayat¹,

Nauman²,

Yousaf³

et al. 2019

IJACSA

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Cloud computing provides various kind of services like storage and processing that can be accessed on-demand when required. Despite its countless benefits, it incorporates some issues too that limits the full adaption of cloud and enjoy its various benefits. Mainly the issue faced during the adaptability of cloud infrastructure is high latency and unawareness of location. To overcome these issues the concept of fog computing is introduced to reduce the load on the cloud and improve the allocation of resources. The fog provides the same services as the cloud. The main features of fog are; location awareness, low latency, and mobility. However, increasing the use of IoT devices, also increase the usage of Cloud. Fog environment. So, much usage of fog getting attention of researcher about energy consumption. In this paper, we try to solve the problem of energy consumption in terms of resources allocation by applying the load balancing algorithms and compare its result with the energy models.

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Section: Related Workmentioning

confidence: 99%

Efficient Energy Utilization in Cloud Fog Environment

Hayat¹,

Nauman²,

Yousaf³

et al. 2019

IJACSA

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“…Virtualization technology has become commonplace in cloud computing by allowing the creation of multiple virtual machines (VMs) on the underlying hardware to improve resource utilization [1].…”

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confidence: 99%

Distributed resource allocation in cloud computing using multi-agent systems

Mazrekaj

Minarolli

Freisleben

2017

Telfor

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Abstract-The Infrastructure-as-a-Service model of cloud computing allocates resources in the form of virtual machines that can be resized and live migrated at runtime. This paper presents a novel distributed resource allocation approach for VM consolidation relying on multi-agent systems. Our approach uses a utility function based on host CPU utilization to drive live migration actions. Experimental results show reduced service level agreement violations and a better overall performance compared to a centralized approach and a threshold-based distributed approach.

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