Utility-based Virtual Cloud Resource Allocation Model and Algorithm in Cloud Computing

Zhu, Jianrong; Li, Jing; Zhuang, Yi

doi:10.14257/ijgdc.2015.8.2.17

Cited by 7 publications

(2 citation statements)

References 12 publications

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“…The problem of aware resource scheduling for cloud storage is highly important. For the past decades, a lot of researchers have paid attention to this problem and proposed a series of solutions [24][25][26][27][28][29][30].…”

Section: Related Workmentioning

confidence: 99%

SLA-aware resource scheduling algorithm for cloud storage

Wang

Tao

Zhao

et al. 2020

J Wireless Com Network

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Cloud computing is a novel computing paradigm, which connects plenty of computing resources and storage resources via Internet. Cloud computing provides a number of high-quality services, such as cloud storage, outsourcing computing, and on-demand self-service, which have been widely accepted by the public. In cloud computing, by submitting their tasks to cloud, plenty of applications share huge computation and storage resources. However, how to schedule resource efficiently is a big challenge in cloud computing. In this paper, we propose a SLA-aware resource algorithm to enable cloud storage more efficiently. In our scheme, we take advantage of the back-end node space utilization and I/O throughput comprehensively simultaneously. We compare and contrast the existing scheduling storage policies by implementing those algorithms. The extensive tests show that our algorithm achieves a considerable improvement in terms of violation rate and the number of used hosts.

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Section: Related Workmentioning

confidence: 99%

SLA-aware resource scheduling algorithm for cloud storage

Wang

Tao

Zhao

et al. 2020

J Wireless Com Network

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“…Demonstrating the side-channel attacks with loyalty is adequate to exhilarate a cryptographic key from a victim VM which could be mounted. It includes preventing the target VM with adequate frequency to facilitate fine-grained observing of its I-cache movement, filtering out enormous sources of noise in the I-cache rising from influence of hardware and software and core immigration that renders [3]. In this approach, the issue of allocation of virtual cloud resources is preoccupied as a utility enlargement issue considering the trade-offs amongst the efficacy of the data centre and the efficiency of the applications into consideration, and exploiting the efficacy on the basis of meet user's presentation.…”

Section: Related Workmentioning

confidence: 99%

Previously-Selected-Server-First based Scalable VM Placement Algorithm for Mitigating Side Channel Attacks in Cloud Computing

G¹,

Rao²,

Murthy³

2018

IJWMT

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Pertaining to the rapid usage of cloud computing, cloud based approaches are growing as an fascinating domain for numerous malignant tasks. Security is one of the vital issues faced by the cloud computing environment while sharing resources over the internet. Consumers are facing distinct security hazards while using cloud computing platform. Previous works mainly attempted to mitigate the side channels attacks by altering the infrastructure and the internal procedures of the cloud stack. However, the deployments of these alterations are not so easy and could not resist the attacks. In this paper, the authors attempted to solve the issues by enhancing the VM Placement policies in such a way that, it is complex for the invaders to collocate their object. A secure Dynamic VM placement approach is presented for the VM allocations into different servers in the cloud. The performance comparison of the suggested methodology is shows that the proposed approach has better efficiency evaluations such as hit rate, loss rate and resource loss when compared to other V M placement policies.

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