RETRACTED ARTICLE: Optimized virtual network function provisioning technique for mobile edge cloud computing
| Autor: | K. Venkatachalam, S. Karthick, S. Balakrishnan, B. Dhiyanesh, R.S. Ponmagal |
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| Rok vydání: | 2020 |
| Předmět: |
General Computer Science
business.industry Computer science 020206 networking & telecommunications 020207 software engineering Cloud computing Provisioning 02 engineering and technology Service provider Virtualization computer.software_genre Network topology Server farm 0202 electrical engineering electronic engineering information engineering Cloudlet business computer Virtual network Computer network |
| Zdroj: | Journal of Ambient Intelligence and Humanized Computing. 12:5807-5815 |
| ISSN: | 1868-5145 1868-5137 |
| Popis: | In the cloud environment, network functions virtualization (NFV) means to diminish cost and disentangle tasks of such system benefits through the virtualization advancements. To authorize organize approaches in NFV-based cloud conditions, arrange administrations are made out of virtualized network functions (VNFs) that are anchored together as service function chains. This fills different needs—cloud farms could be chosen to streamline the rate, the picked presentation constraints could be kept inside as far as possible, and the speed of arrangement can be expanded. Diverse VNFs can be affixed together to shape distinctive administration chains for various system administrations, to meet different client information directing requests. From the service provider perspective, such administrations are normally actualized by VNF examples in a cloudlet system comprising of a lot of server farms and switches. In this paper, a method is proposed for dynamic VNFs provisioning in cloud situations. The technique considers the inertness necessity of various requests for service chain functions. It permits the inactivity delicate requests to diminish the start to finish system interval by using edge assets in the cloud. We assess our technique with enormous scale reenactments that think about practical system topologies and our prototype in a substrate composed of four private data centers and three public clouds. The framework scales well for systems of thousands of switches utilizing differing topologies and enhances the virtual network acceptance ratio and inserting a delay. |
| Databáze: | OpenAIRE |
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