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Research And Realization On Key Technologies Of NFV Platform Based On Container

Posted on:2019-07-31Degree:MasterType:Thesis
Country:ChinaCandidate:B LiuFull Text:PDF
GTID:2428330611993312Subject:Computer Science and Technology
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Network Functions Virtualization(NFV)has been a hot spot in recent years as a potential solution for reducing costs and providing scalable network services.NFV enables greater flexibility,easier deployment,and higher resource usage by moving network appliance functionality from proprietary hardware to software.However,NFV has been greatly benefited from flexibility,inter-operability,integrated management,orchestration and service automation all of which poses a great challenge to the current management system.But the existing NFV platform does not provide a common and comprehensive management solution.At present,the academia and industry are mostly based on virtual machine to build a NFV platform.This method has advantages of good isolation and safety,but also disadvantages like much more resource consumption,slow startup speed,and heavy migration deployment.As a new virtualization technology,container is becoming more and more popular with its advantages of lightweight,fast instantiation,and flexible scheduling,which can bring greater flexibility and scalability to NFV.This dissertation is based on the Docker container technology and the Kubernetes,to achieve a flexible and efficient NFV platform named DKNFV.The DKNFV aims to be a central manager to orchestrate,schedule,and manage network functions.Upon this platform,we propose a new network service function chain deployment model,and realize the flexible routing and dynamic reorganization of the network service function chain by combining SDN technology.In addition,the task-aware automatic elastic scaling algorithm is proposed,which makes VNF scaling more automatic and intelligent.At the same time,two load balancing algorithms are proposed to meet the load balancing requirements in different scenarios.
Keywords/Search Tags:Network Function Virtualization, Service Function Chain, Docker, Kubernetes, Elastic Scaling, Load Balancing
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