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September 2015, № 9 (184)



Ushakov U.A., Polezhaev P.N., Shukhman A.E. DEVELOPMENT OF MULTISERVICE MULTIPOINT VPN NETWORK WITH DYNAMIC AUTOCONFIGURATION Nowadays the usage of enterprise VPN services is integrated in every large company. SOHO and SMB also use VPN for connection with Internet providers, VoIP, banking transactions. Our approach suggests to automatize building and using multipoint VPN topologies. We also proposed the cloud to build full-mesh dynamic multipoint VPNs based on routers using scripts. During research the prototype of autoconfigured VPN network was developed. Its experimental research showed good results in performance and memory consumption, reflecting great horizontal scalability of cloud VPN server. Proposed concept of autoconfigured network based on customer profile showed viability. We plan to extend it to the direction of network traffic management. We also propose to implement the full-mesh network for customers without the server for traffic transmission, which will further reduce the cost for customers. Key words: VPN, autoconfiguration, corporate networks, cloud computing, software-defined networks, network as a service.

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References:

1. Google Cloud Interconnect. — URL: https://cloud.google.com/interconnect.

2. Wen-Hwa Liao, Shuo-Chun Su. A Dynamic VPN Architecture for Private Cloud Computing. Utility and Cloud Computing (UCC), 2011 Fourth IEEE International Conference. — 2011. — p. 409-414.

3. Arthur D. Little. Reshaping the future with NFV and SDN. Bell Labs. — URL: http://www.adlittle.com/downloads/tx_adlreports/ADL_BellLabs_2015_Reshapingthefuture.pdf

4. Cisco Meraki's unique auto provisioning site-to-site VPN. — URL: https://meraki.cisco.com/technologies/auto-vpn

5. Understanding AutoVPN. — URL: http://www.juniper.net/documentation/en_US/junos12.3x48/topics/concept/security-autovpn-understanding.html

6. Cisco IOS FlexVPN Data Sheet. — URL: http://www.cisco.com/c/en/us/products/collateral/routers/asr-1000-series-aggregation-services-routers/data_sheet_c78-704277.html

7. Polezhaev P.N., Bahareva N.F., Shukhman A.E. Development of efficient genetic algorithm for routing and delivering QoS using software-defined networks // Vestnik "Orenburgskogo gosudarstvennogo universiteta", 2015. — (176). — P. 213-217.

8. Polezhaev P.N. Mathematicla model of distributed computing datacenter with software-defiened segments // Vestnik "Orenburgskogo gosudarstvennogo universiteta", 2013. — 5(154). — P. 198-204.


About this article

Authors: Shuhman A.E., Ushakov Yu.A., Polezhaev P.N.

Year: 2015


Editor-in-chief
Sergey Aleksandrovich
MIROSHNIKOV

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