Resource virtualization methodology for on-demand allocation in cloud computing systems

Chen, Xiaojun; Zhang, Jing; Li, Junhuai; Li, Xiang

doi:10.1007/s11761-011-0092-9

Cited by 19 publications

(8 citation statements)

References 39 publications

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“…Tao et al considered energy consumption as one of the optimization indexes in their case library based hybrid genetic algorithm [12]. Chen et al designed a Resource Matching Algorithm (RMA) which focused on the resource refusal rate, resource average waiting cycle and resource utilization based on a resource virtualization model [36].…”

Section: Related Workmentioning

confidence: 99%

Knowledge-Based Resource Allocation for Collaborative Simulation Development in a Multi-Tenant Cloud Computing Environment

Peng

Wang

Dong

et al. 2018

IEEE Trans. Serv. Comput.

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Cloud computing technologies have enabled a new paradigm for advanced product development powered by the provision and subscription of computational services in a multi-tenant distributed simulation environment. The description of computational resources and their optimal allocation among tenants with different requirements holds the key to implementing effective software systems for such a paradigm. To address this issue, a systematic framework for monitoring, analyzing and improving system performance is proposed in this research. Specifically, a radial basis function neural network is established to transform simulation tasks with abstract descriptions into specific resource requirements in terms of their quantities and qualities. Additionally, a novel mathematical model is constructed to represent the complex resource allocation process in a multi-tenant computing environment by considering priority-based tenant satisfaction, total computational cost and multi-level load balance. To achieve optimal resource allocation, an improved multi-objective genetic algorithm is proposed based on the elitist archive and the K-means approaches. As demonstrated in a case study, the proposed framework and methods can effectively support the cloud simulation paradigm and efficiently meet tenants' computational requirements in a distributed environment.

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Section: Related Workmentioning

confidence: 99%

Knowledge-Based Resource Allocation for Collaborative Simulation Development in a Multi-Tenant Cloud Computing Environment

Peng

Wang

Dong

et al. 2018

IEEE Trans. Serv. Comput.

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“…The analytical hierarchy process is used to obtain the information about the resources which can be mapped to tasks based on task rank. Chen et al constructed the logical view of resources from the physical view [18]. Logical resources are formed by considering many physical resources like resource virtualization.…”

Section: Related Workmentioning

confidence: 99%

Cloud Resource Allocation Schemes Using Drip Irrigation Approach

Madhumathi¹,

Radhakrishnan²,

Veningston³

et al. 2015

Advances in Innovative Engineering and Technologies

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“…The society requires embracing the move towards protecting the natural resources through creation of recyclable products and reducing pollution. Most cloud computing technologies result in absolute percussion to the environment (Chen et al, 2013).…”

Section: Green Computingmentioning

confidence: 99%

“…Virtualization has been effective in reducing operational costs and achieving the desired carbon levels. As a result, most organizations can be perceived as socially responsible and greener (Chen et al, 2013).…”

Section: Application Of Virtualization In Cloud Computing: a Foundati...mentioning

confidence: 99%

Adoption of Virtualization in Cloud Computing

Khan

Shah

Nusratullah

2015

International Journal of Green Computing

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There has been rapid expansion of the information technology due to contribution to emission of carbon dioxide. The cloud computing technology has been perceived to present solution to various studies that try to investigate on the most appropriate ways of reducing the carbon dioxide gas emissions. The current study aimed at investigating the adoption of virtualization in cloud computing as a means through which the green computing can be achieved. According to the paper virtualization among its many process helps in curtailing equipment required through cloud computing resources to facilitate adequate use of resources to make use of energy and assets.

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Resource virtualization methodology for on-demand allocation in cloud computing systems

Cited by 19 publications

References 39 publications

Knowledge-Based Resource Allocation for Collaborative Simulation Development in a Multi-Tenant Cloud Computing Environment

Knowledge-Based Resource Allocation for Collaborative Simulation Development in a Multi-Tenant Cloud Computing Environment

Cloud Resource Allocation Schemes Using Drip Irrigation Approach

Adoption of Virtualization in Cloud Computing

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