计算设施和网络资源:大型私立大学与快速增长的客户案例研究

Srikant Das, R. Subudhi, A. Patra
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引用次数: 0

摘要

速度、空间和明智地共享与网络有关的资源是任何先进组织成功管理计算设施和其他网络资源的关键指标。对于任何专业学术机构来说,这种情况都变得更加苛刻,因为大多数利益相关者,即网络资源的年轻学生用户,严重依赖于网络学习和个人交流。其他利益相关者,如行政人员、大学的教学和研究社区,都依赖网络,主要是已知资源。这类大型机构中不同类型的利益相关者之间日益增长的依赖关系,需要进行个案研究,以研究当前网络资源的使用模式,包括用户的时间和口袋,然后为未来更好的网络资源管理制定可持续的战略规划。本论文是对印度奥里萨邦一所领先的私立大学的案例研究,该大学拥有超过65,000名“大学网络”用户和超过7500个固定系统,分析了用户上一季度的时间序列数据,并提出了一个优化和有效使用“学院网络资源和计算设施”的未来模型。它研究了该研究所25个校区的固定线路负载和无线(Wi - Fi)连接的负载管理,这些校区分散在15平方英尺的范围内。公里。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Computational Facilities and Web-Resources: Case Study of Large Private University with Fast-Growing Clients
Speed, space and judicious sharing web-related resources are the key indicators of successful management of the computing-facilities and other web-resources of any progressive organisation. Such a case becomes much more demanding for any professional academic institution, where the majority stake-holders, that is the young student-users of web-resources, are heavily dependent on web-based learning and personal communications. Other stake holders, like administrative staff, teaching and research community of universities have web-dependence, mostly for known resources. Fast growing dependence of different categories of stake-holders of such large institutes warrants a case-study research, so as to study the present pattern of uses of web-resources, including the timing and pockets of users, and then to have a sustainable strategic planning for a better resource-management of web-resources for future. The present paper is a case study of a leading private university of Odisha (in India) with over 65,000 users of ‘university web-network’ and over 7500 fixed-systems, which analyses users’ time-series data of last quarter and suggests a futuristic model for optimal and effective use of ‘Institute Web-Resources and computing facilities’. It studies both fixed-line load and load-management of wireless (Wi Fi) connections, across the 25 campuses of the Institute, scattered and geographically located within 15 sq. km.
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