Cost efficiency is an often mentioned strength of cloud computing. In times of decreasing educational budgets virtual labs provided by cloud computing might be therefore an int eresting option for higher education organizations or IT training facilit ies. An analysed use case of a web technology lecture and a corresponding practical course of a co mputer science study programme shows that is not possible to answer the question in general whether cloud computing approaches are economical or not. The general implication of this finding for h igher education is, that the application of cloud computing can be only answered fro m a course specific point of view. This contribution shows why. But also how universities, colleges or other IT training facilit ies can make pro found and course specific decisions for or against cloud based virtual labs from an economic point of view. The presented approach is inspired by Weinmans "mathematical proof of the inevitability of cloud co mputing". The key idea is to co mpare peak to average usage of virtual labs and relate this ratio to costs of classical dedicated labs . The rat io of peak and average usage indicates whether a use case (fro m a pure economical point of view) is cloud compatible or not. This contribution derives also some findings when cloud computing in h igher education has economical advantages or disadvantages. Regarding the analysed use case it turned out that virtual labs are able to provide a more than 25 times cost advantage compared to classical dedicated approaches . Virtual labs can be applied frict ionless to classical as well as distance study programmes and virtual labs provide a convenient infrastructure for project as well as problem based learning in co mputer science. Nevertheless provider of virtual labs should always consider usage and resulting cost characteristics. This article shows how to do this.
[1]
Pasi Tyrväinen,et al.
Dedicated vs. On-demand Infrastructure Costs in Communications-intensive Applications
,
2011,
CLOSER.
[2]
Yang Li,et al.
Processing Wikipedia Dumps - A Case-study Comparing the XGrid and MapReduce Approaches
,
2011,
CLOSER.
[3]
Qinghua Zheng,et al.
BlueSky Cloud Framework: An E-Learning Framework Embracing Cloud Computing
,
2009,
CloudCom.
[4]
Asoke K. Talukder,et al.
Cloud Economics: Principles, Costs, and Benefits
,
2010,
Cloud Computing.
[5]
Chunming Rong,et al.
Snow Leopard Cloud: A Multi-national Education Training and Experimentation Cloud and Its Security Challenges
,
2009,
CloudCom.
[6]
Nane Kratzke.
Cloud-based IT Management Impacts - Qualitative Weaknesses and Strengths of Clouds
,
2011,
CLOSER.
[7]
Xiaodi Huang,et al.
ESaaS: A New Education Software Model in E-learning Systems
,
2011
.
[8]
Geng Li,et al.
Research on Digital Campus Based on Cloud Computing
,
2011
.
[9]
Chao-Chun Ko,et al.
Explore the Next Generation of Cloud-Based E-Learning Environment
,
2011,
Edutainment.
[10]
Henry M. Tufo,et al.
A system architecture supporting high-performance and cloud computing in an academic consortium environment
,
2011,
Computer Science - Research and Development.
[11]
Jiann-Min Yang,et al.
Virtual Personalized Learning Environment (VPLE) on the Cloud
,
2011,
WISM.