Visible to the public Block Level Streaming Based Alternative Approach for Serving a Large Number of Workstations Securely and Uniformly

TitleBlock Level Streaming Based Alternative Approach for Serving a Large Number of Workstations Securely and Uniformly
Publication TypeConference Paper
Year of Publication2018
AuthorsKhan, F., Quweider, M., Torres, M., Goldsmith, C., Lei, H., Zhang, L.
Conference Name2018 1st International Conference on Data Intelligence and Security (ICDIS)
Date Publishedapr
Keywordsapplications on-demand, Blades, block level streaming, campus computing, campus setting, Central Processing Unit, client computer, client workstation, client-server systems, composability, computer network security, data privacy, Educational institutions, large number of clients, Linux, Metrics, open source, Open Source solution, operating system, Protocols, pubcrawl, public domain software, Resiliency, scratchpad volatile memory, security, security privacy constraints, Servers, Streaming media, University of Texas, user workstation security, virtualized computing, Windows clients, Windows Operating System Security, workstation configuration, Workstations
AbstractThere are different traditional approaches to handling a large number of computers or workstations in a campus setting, ranging from imaging to virtualized environments. The common factor among the traditional approaches is to have a user workstation with a local hard drive (nonvolatile storage), scratchpad volatile memory, a CPU (Central Processing Unit) and connectivity to access resources on the network. This paper presents the use of block streaming, normally used for storage, to serve operating system and applications on-demand over the network to a workstation, also referred to as a client, a client computer, or a client workstation. In order to avoid per seat licensing, an Open Source solution is used, and in order to minimize the field maintenance and meet security privacy constraints, a workstation need not have a permanent storage such as a hard disk drive. A complete blue print, based on performance analyses, is provided to determine the type of network architecture, servers, workstations per server, and minimum workstation configuration, suitable for supporting such a solution. The results of implementing the proposed solution campus wide, supporting more than 450 workstations, are presented as well.
Citation Keykhan_block_2018