Abstract
Cloud computing (CC) is a latest type of network automation stack; its advancement velocity is growing in a very increasing fashion. In this work, we proposed an implementation of cloud ecosystem for shared learning to explore and use infrastructure, platform and software as a service (IaaS), (PaaS) and (SaaS), which makes a prerequisite planning and design of the general environment of learning cloud for the needs of education domain. With this system, workload of a staff can be reduced with respect to laboratory setup for various laboratory subjects in each semester of an academic year. It allows to access cloud over Web for shared learning, so as to call the required application programs with respect to various subject groups together as and when required.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
References
Chen WD, Wang Q, Ye XD, Xu YF (2012) A study of cloud education environment design and model construction. In: 2nd International conference on Consumer Electronics, Communications and Networks (CECNet). https://doi.org/10.1109/cecnet.2012.6202308
Prajapati Amit G, Sharma Shankarlal J, Badgujar Vishal S (2018) All about cloud: a systematic survey. International conference on smart city and emerging technology (ICSCET). Mumbai, India, pp 1–6
Hayes B (2008) Cloud computing. Commune ACM 51(7):9–11
Mell P, Grance T (2011) The NIST definition of cloud computing
Pandya V, Navageni V (2016) Cloud computing strategy: cloud server and architecture. Int Educ Res J 2(4)
Zhu Z, Yang G, Zhou F (2011) The application of SaaS based cloud computing in the university research and teaching platform. In: International conference on intelligence science and information engineering. https://doi.org/10.1109/isie.2011.19
Velte AT, Velte TJ, Elsenpeter R (2009) Cloud computing: a practical approach. 68–73
Ulteo Open Virtual Desktop https://distrowatch.com/table.php?distribution=ulteo
Linux and Windows Virtual Desktop http://www.ulteo.com
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2022 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
About this paper
Cite this paper
Narawade, V.E., Badgujar, V.S. (2022). On Trade Cloud Ecosystem Structure for Shared Learning. In: Tuba, M., Akashe, S., Joshi, A. (eds) ICT Systems and Sustainability. Lecture Notes in Networks and Systems, vol 321. Springer, Singapore. https://doi.org/10.1007/978-981-16-5987-4_54
Download citation
DOI: https://doi.org/10.1007/978-981-16-5987-4_54
Published:
Publisher Name: Springer, Singapore
Print ISBN: 978-981-16-5986-7
Online ISBN: 978-981-16-5987-4
eBook Packages: Intelligent Technologies and RoboticsIntelligent Technologies and Robotics (R0)