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Load Experiment of the vDACS Scheme in Case of the 300 Simultaneous Connection

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Computational Science/Intelligence and Applied Informatics (CSII 2017)

Part of the book series: Studies in Computational Intelligence ((SCI,volume 726))

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Abstract

In the current Internet system, there are many problems using anonymity of the network communication such as personal information leaks and crimes using the Internet system. This is why TCP/IP protocol used in Internet system does not have the user identification information on the communication data, and it is difficult to supervise the user performing the above acts immediately. As a study for solving the above problem, there is the study of Policy Based Network Management (PBNM). This is the scheme for managing a whole Local Area Network (LAN) through communication control for every user. In this PBNM, two types of schemes exist. The first is the scheme for managing the whole LAN by locating the communication control mechanisms on the path between network servers and clients. The second is the scheme of managing the whole LAN by locating the communication control mechanisms on clients. As the second scheme, we have studied theoretically about the Destination Addressing Control System (DACS) Scheme. By applying this DACS Scheme to Internet system management, we will realize the policy-based Internet system management. In this paper, as the progression phase for the last goal, we perform the load experiment of the cloud type virtual PBNM named the vDACS Scheme, which can be used by plural organizations, for applications to the small and medium size scale organization. The number of clients used in an experiment is 300.

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Acknowledgements

This work was supported by the research grant of KDDI Foundation. We express our gratitude.

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Correspondence to Kazuya Odagiri .

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Odagiri, K., Shimizu, S., Ishii, N. (2018). Load Experiment of the vDACS Scheme in Case of the 300 Simultaneous Connection. In: Lee, R. (eds) Computational Science/Intelligence and Applied Informatics. CSII 2017. Studies in Computational Intelligence, vol 726. Springer, Cham. https://doi.org/10.1007/978-3-319-63618-4_3

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  • DOI: https://doi.org/10.1007/978-3-319-63618-4_3

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  • Print ISBN: 978-3-319-63617-7

  • Online ISBN: 978-3-319-63618-4

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