Vol.57 No (Mar. 2016) 1,a) , L3 CG VDI VDI A Migration to a Cloud-based Information Infrastructure to Support
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1 1,a) , L3 CG VDI VDI A Migration to a Cloud-based Information Infrastructure to Support University Education and It s Analysis Kaori Maeda 1,a) Nobuo Suematsu 1 Toshiaki Kitamura 1 Received: June 22, 2015, Accepted: December 7, 2015 Abstract: The cloud-based system is used as a research and education information infrastructure, because it can achieve not only small footprint and low power consumption but also scalability and ubiquitously availability. However, there are only few reports that show detail usage or consumed resources of the educational virtual desktop environments using cloud systems. Especially, there is no information at the case of practice classes using computer graphics software for the Design and Applied Arts, nor classes using Linux programming environment for the Information Engineering. In this paper, we show the actual measurements of the cloud system for education by design and operation of the Hiroshima City University education computer system. This system has a unique characteristic such as; the networking system of layer 3 and above, and all server functions are migrated to the remote data center, and, hybrid cloud consists both public cloud and private cloud. In this environment, users use about 600 virtual desktops, including 50 virtual desktops for the Design and Applied Art, through the network. We discuss detail requirements to resource and network management facilities for education support system in a university, based on our measurements on the VDI resource usage of our cloud system. Keywords: virtual infrastructure, cloud, virtual desktop terminal (VDI) 1. 1 Graduate School of Information Sciences, Hiroshima City University, Hiroshima , Japan a) kaori@hiroshima-cu.ac.jp c 2016 Information Processing Society of Japan 948
2 VDI PC VDT BCP Business Continuity Plan L3 [1] VDI CG Linux VDT Windows [2] 2012 DC [3] 2012 [4] 2013 [5], [6], [7] 2013 IaaS Infrastructure as a Service [8] [9] St. Xavier s College [10] Kaunas University of Technology VDI VDT VDI [10] VDI ICT c 2016 Information Processing Society of Japan 949
3 2 1 VDI Linux 2 DNS Web VDI BCP L3 DC DC DC LAN 1 VDI 4.2 L3 1 L3 DC L2 LAN DC DC 10 Gbps 2 10 Gbps 1 Fig. 1 Total system configuration. c 2016 Information Processing Society of Japan 950
4 2 VDI Fig. 2 Education system configuration using VDI. 4.3 VDI DC DNS Web VDI Web DC NFS VDT 6 VDT D CG 50 VDT 7 2 Cisco UCS C240 CPU 12 2 / VM 1 1 Table 1 The detail of the purposes of VDT = = VMware ESXi Adobe Photoshop Illustrator 3D CG Shade3D 1 4GPU NVIDIA GRID K VDT 2 VDT VDT VDT 1 VDT VDT Windows7 c 2016 Information Processing Society of Japan 951
5 VDT Linux Ubuntu Ubuntu Windows VMWare Player 4.5 DC (1) Symantec Symantec.cloud SMTP (2) Microsoft Office VDI 5.1 VDI VDI DC (1) 1 Gbps LAN Windows Windows Linux VDI VDT VDT DC VDI 2 Windows Linux Windows Windows Linux Windows DC RTT 2ms Windows VDT DC Linux 160 VDI NFS (2) VDT 3 VDT CPU 5 % MHz 2 3 VDT 2 Table 2 Time of boot, logon and shutdown. c 2016 Information Processing Society of Japan 952
6 Fig. 4 4 CPU CPU consumption in using digital imaging software. 3 VDT 1 CPU Fig. 3 CPU consumption of each execution server. 3 Table 3 Maximum login number. 7 2 CPU 3(a) % 200 VDT VDT VDT CPU 1 VDT VDT VDT VDI VDT CPU VDT VDI 3(b) 41 Photoshop VDT 2 2 VDT VM CPU 4 (a) 4(b) 2 1 CPU VDT 41 Photoshop 15:15 70% GPU c 2016 Information Processing Society of Japan 953
7 Table 4 4 Apache Parameters values of Apache. GPU VDT VM 4(a) VDT 4(b) 50% 5 Web Fig. 5 Load transition of the Web server in Web a Web 2 Web CPU 8 8GB GB 2 Web HTML PDF Web Linux Apache prefork prefork 4 Web 5 Web 1 CPU CPU CPU MHz 1 Web :00 10:10 10 Web 10: http Web Fig. 6 Access transition of the Web sever at the announcement of the examination result. 7 FW Fig. 7 Connections at the FW at the announcement of the examination result. c 2016 Information Processing Society of Japan 954
8 http Web http http URL http 6 10: :00 10:05 1,000 Web 6 10 DC DC kw 8kW 37.0 kw 53% VDI 5 Linux Windows OS PC VDI VDT VDT VDT VDI 5.4 L2 5 Table 5 Maintenance time. 5.5 Symantec Office365 Web 6 Table 6 Variation in electric power. c 2016 Information Processing Society of Japan 955
9 8 Fig. 8 Backup data traffic. 5.6 DC VDT 200 GB 8.5 TB % AM2: VDT Web CG VDT GPU I/O I/O VDT [1] Vol.2015-IOT028, No.19, pp.1 6 (Mar. 2015). [2] Vol.2006-DSM-043, No.97, pp.7 12 (2006). [3] NEC (2012), press/201210/ html [4] Vol.2012-IOT-19, pp.1 4 (2012). [5] Vol.2013-IOT-22, No.6, pp.1 5 (2013). [6] 2014 pp (2014). [7] 2014 pp (2014). [8] IaaS Vol.2013-IOT-22, No.14, pp.1 6 (2013). [9] Agrawal, S., Biswas, R. and Nath, A.: Virtual Desktop Infrastructure in Higher Education Institution: Energy Efficiency as an Application of Green Computing, Proc th International Conference on Communication Systems and Network Technologies, pp (Apr. 2014). [10] Regina, M., Danutė, A., Raimundas, T. and Nerijus, P.: Educational Infrastructure Using Virtualization Technologies: Experience at Kaunas University of Technology, Informatics in Education, Vol.11, No.2, pp (2012) c 2016 Information Processing Society of Japan 956
10 VPP HAL SPARC IEEE ACM c 2016 Information Processing Society of Japan 957
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