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Simulations of the VISIR Open Lab Platform
This paper presents a queue simulation of a remote laboratory based on the VISIR Open Lab Platform designed at Blekinge Institute of Technology. A model of this VISIR laboratory and statistical distributions of how users interact with the system based on real log files are presented. The system is t...
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creator | Swartling, Mikael Bartunek, J. S. Nilsson, K. Gustavsson, I. Fiedler, M. |
description | This paper presents a queue simulation of a remote laboratory based on the VISIR Open Lab Platform designed at Blekinge Institute of Technology. A model of this VISIR laboratory and statistical distributions of how users interact with the system based on real log files are presented. The system is then simulated in order to determine how many concurrent students that can be allowed to use the laboratory while at the same time keeping a low response time to ensure the quality of the service. The results show, in a worst case setup with approximately 300 ms response time per experiment, that roughly 100 concurrent users is an upper limit to ensure an average response time below 2 s. The results also show that raising the limit of the desired experiment response time does not necessarily increase the number allowed concurrent users significantly once the system is saturated. However, improving the experiment response time can significantly increase the number of users that can simultaneously be connected. |
doi_str_mv | 10.1109/REV.2012.6293108 |
format | conference_proceeding |
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S. ; Nilsson, K. ; Gustavsson, I. ; Fiedler, M.</creator><creatorcontrib>Swartling, Mikael ; Bartunek, J. S. ; Nilsson, K. ; Gustavsson, I. ; Fiedler, M.</creatorcontrib><description>This paper presents a queue simulation of a remote laboratory based on the VISIR Open Lab Platform designed at Blekinge Institute of Technology. A model of this VISIR laboratory and statistical distributions of how users interact with the system based on real log files are presented. The system is then simulated in order to determine how many concurrent students that can be allowed to use the laboratory while at the same time keeping a low response time to ensure the quality of the service. The results show, in a worst case setup with approximately 300 ms response time per experiment, that roughly 100 concurrent users is an upper limit to ensure an average response time below 2 s. The results also show that raising the limit of the desired experiment response time does not necessarily increase the number allowed concurrent users significantly once the system is saturated. 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The results show, in a worst case setup with approximately 300 ms response time per experiment, that roughly 100 concurrent users is an upper limit to ensure an average response time below 2 s. The results also show that raising the limit of the desired experiment response time does not necessarily increase the number allowed concurrent users significantly once the system is saturated. However, improving the experiment response time can significantly increase the number of users that can simultaneously be connected.</description><subject>Instruments</subject><subject>Integrated circuit modeling</subject><subject>Laboratories</subject><subject>Power supplies</subject><subject>Quality of Experience</subject><subject>Servers</subject><subject>Simulation</subject><subject>Time factors</subject><subject>Time measurement</subject><subject>VISIR</subject><isbn>1467325406</isbn><isbn>9781467325400</isbn><isbn>9781467325417</isbn><isbn>1467325414</isbn><isbn>9781467325424</isbn><isbn>1467325422</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2012</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><recordid>eNo1j81Lw0AUxFekoLa5C172LCS-tx9vd49Sag0EKq32WnabDa40TUnqwf_egHUuwzA_Boaxe4QCEdzTerEtBKAoSDiJYK9Y5oxFRUYKrdBcs7v_AHTDsmH4glEjIpS6ZY-b1H4f_Dl1x4F3DT9_Rr4tN-War07xyCsf-NtYN13fztik8YchZhefso-Xxfv8Na9Wy3L-XOUJydpck_GRamOsgEgaauO88DoQKOkBzciQ3oN20ToQezII0QVQKnjCYGo5ZQ9_uynGuDv1qfX9z-5yT_4CSco_eQ</recordid><startdate>2012</startdate><enddate>2012</enddate><creator>Swartling, Mikael</creator><creator>Bartunek, J. S.</creator><creator>Nilsson, K.</creator><creator>Gustavsson, I.</creator><creator>Fiedler, M.</creator><general>IEEE</general><scope>6IE</scope><scope>6IL</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIL</scope></search><sort><creationdate>2012</creationdate><title>Simulations of the VISIR Open Lab Platform</title><author>Swartling, Mikael ; Bartunek, J. 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S.</creatorcontrib><creatorcontrib>Nilsson, K.</creatorcontrib><creatorcontrib>Gustavsson, I.</creatorcontrib><creatorcontrib>Fiedler, M.</creatorcontrib><collection>IEEE Electronic Library (IEL) Conference Proceedings</collection><collection>IEEE Proceedings Order Plan All Online (POP All Online) 1998-present by volume</collection><collection>IEEE Xplore All Conference Proceedings</collection><collection>IEL</collection><collection>IEEE Proceedings Order Plans (POP All) 1998-Present</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Swartling, Mikael</au><au>Bartunek, J. S.</au><au>Nilsson, K.</au><au>Gustavsson, I.</au><au>Fiedler, M.</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>Simulations of the VISIR Open Lab Platform</atitle><btitle>2012 9th International Conference on Remote Engineering and Virtual Instrumentation (REV)</btitle><stitle>REV</stitle><date>2012</date><risdate>2012</risdate><spage>1</spage><epage>5</epage><pages>1-5</pages><isbn>1467325406</isbn><isbn>9781467325400</isbn><eisbn>9781467325417</eisbn><eisbn>1467325414</eisbn><eisbn>9781467325424</eisbn><eisbn>1467325422</eisbn><abstract>This paper presents a queue simulation of a remote laboratory based on the VISIR Open Lab Platform designed at Blekinge Institute of Technology. A model of this VISIR laboratory and statistical distributions of how users interact with the system based on real log files are presented. The system is then simulated in order to determine how many concurrent students that can be allowed to use the laboratory while at the same time keeping a low response time to ensure the quality of the service. The results show, in a worst case setup with approximately 300 ms response time per experiment, that roughly 100 concurrent users is an upper limit to ensure an average response time below 2 s. The results also show that raising the limit of the desired experiment response time does not necessarily increase the number allowed concurrent users significantly once the system is saturated. However, improving the experiment response time can significantly increase the number of users that can simultaneously be connected.</abstract><pub>IEEE</pub><doi>10.1109/REV.2012.6293108</doi><tpages>5</tpages><oa>free_for_read</oa></addata></record> |
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source | IEEE Electronic Library (IEL) Conference Proceedings |
subjects | Instruments Integrated circuit modeling Laboratories Power supplies Quality of Experience Servers Simulation Time factors Time measurement VISIR |
title | Simulations of the VISIR Open Lab Platform |
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