Private cloud for collaboration and e-Learning services: from IaaS to SaaS

Doelitzscher, Frank; Sulistio, Anthony; Reich, Christoph; Kuijs, Hendrik; Wolf, David

doi:10.1007/s00607-010-0106-z

Cited by 151 publications

(61 citation statements)

References 6 publications

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“…In addition, with CloudIA, students can create and reserve virtual machines on demand for their practices, delivering by default three virtual machines with 1Gb of RAM per student, and a maximum of 100 h per semester [34]. With that in mind, [35] shows the case of a private cloud shared by four universities that allowed for the provision of virtual machines with preconfigured images created on demand by the students in a computer sciences course.…”

Section: Literature Reviewsmentioning

confidence: 99%

Model to Implement Virtual Computing Labs via Cloud Computing Services

Encalada

Sequera

2017

Symmetry

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Abstract:In recent years, we have seen a significant number of new technological ideas appearing in literature discussing the future of education. For example, E-learning, cloud computing, social networking, virtual laboratories, virtual realities, virtual worlds, massive open online courses (MOOCs), and bring your own device (BYOD) are all new concepts of immersive and global education that have emerged in educational literature. One of the greatest challenges presented to e-learning solutions is the reproduction of the benefits of an educational institution's physical laboratory. For a university without a computing lab, to obtain hands-on IT training with software, operating systems, networks, servers, storage, and cloud computing similar to that which could be received on a university campus computing lab, it is necessary to use a combination of technological tools. Such teaching tools must promote the transmission of knowledge, encourage interaction and collaboration, and ensure students obtain valuable hands-on experience. That, in turn, allows the universities to focus more on teaching and research activities than on the implementation and configuration of complex physical systems. In this article, we present a model for implementing ecosystems which allow universities to teach practical Information Technology (IT) skills. The model utilizes what is called a "social cloud", which utilizes all cloud computing services, such as Software as a Service (SaaS), Platform as a Service (PaaS), and Infrastructure as a Service (IaaS). Additionally, it integrates the cloud learning aspects of a MOOC and several aspects of social networking and support. Social clouds have striking benefits such as centrality, ease of use, scalability, and ubiquity, providing a superior learning environment when compared to that of a simple physical lab. The proposed model allows students to foster all the educational pillars such as learning to know, learning to be, learning to live together, and, primarily, learning to do, through hands-on IT training from a MOOCs. An aspect of the model has been verified experimentally and statistically through a course of computer operating systems.

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Section: Literature Reviewsmentioning

confidence: 99%

Model to Implement Virtual Computing Labs via Cloud Computing Services

Encalada

Sequera

2017

Symmetry

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“…Cloud computing is an excellent alternative for academic institutes which are especially under budget shortage in order to build [1], host and operate their e-learning systems [6] effectively without spending [8] any more capital for the computers [1] purchase software, licensing new software, power, cooling [6], servers, storages, network devices, [18] technical team, maintenance team or do not have the resources and infrastructure needed to [15] run e-learning effectively [10]. If we look closely at the cloud, we will see three Cloud Computing services into three distinct categories [2] (Figure 1).…”

Section: Iicloud Computing Today and Tomorrowmentioning

confidence: 99%

“…However learners still need a more intelligent efficient and personalized system [14]. Also, there is no Elearning, but has faced challenges in [5] optimizing resource allocations [3], dealing with dynamic demands on getting information and knowledge anywhere and anytime, handling rapid storage growth requirements, [14] cost controlling and greater flexibility, [9] improving its infrastructure [12], which can devote the required computation and storage resources Deficiency in learning content (The information may not inspire the users successfully), [8] Lack of personalization (The currently available platforms to learners are of the same content, so when learners have different learning demands and different learning roles, they have to enter different learning systems which reduce the learning desire and initiative), [7] Narrowness (E-learning systems are applied by small and specific groups). An integration between cloud computing and Web 3.0 meets this need of learners and proposes new concepts of information access models.…”

Section: Iintroductionmentioning

confidence: 99%

A Proposed Smart E-Learning System Using Cloud Computing Services: PaaS, IaaS and Web 3.0

Nasr

Ouf²

2012

Int. J. Emerg. Technol. Learn.

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Abstract-E-learning systems need to improve its infrastructure, which can devote the required computation and storage resources for e-learning systems. Microsoft cloud computing technologies although in their early stages have managed to change the way applications are going to be developed and accessed. The objective of the paper is to combine various technologies to design architecture which describe E-learning systems. Web 3.0 uses widget aggregation, intelligent retrieval, user interest modeling and semantic annotation. These technologies are aimed at running applications as services over the internet on a flexible infrastructure. Cloud computing provides a low cost solution to academic institutions for their researchers, faculty and learners. In this paper we integrate cloud computing as a platform with web 3.0 for building intelligent e-learning systems.Index Terms-web 3.0, e-learning, semantic annotation, intelligent retrieval, cloud computing, Microsoft windows azure, software as a services (SaaS), infrastructure as a services (IaaS), platform as a services (PaaS). I.INTRODUCTIONWith the rapid development of Internet, more and more people obtain useful information via the Internet [21]. The internet is an open system; a huge number of information is produced and updated onto it every day.[16] Elearning systems can be very beneficial to the learner if used properly. With the development of information society and acceleration of the pace of life, Learners are looking forward to have a learning schedule and network learning environment, which can meet their own needs. During the era of Web 2.0, Internet brought convenience to instructors and administrators of E-learning platforms. E-learning platforms mainly used interactivity of information. However learners still need a more intelligent efficient and personalized system [14]. Also, there is no Elearning, but has faced challenges in [5] optimizing resource allocations [3], dealing with dynamic demands on getting information and knowledge anywhere and anytime, handling rapid storage growth requirements, [14] cost controlling and greater flexibility, [9] improving its infrastructure [12], which can devote the required computation and storage resources Deficiency in learning content (The information may not inspire the users successfully),[8] Lack of personalization (The currently available platforms to learners are of the same content, so when learners have different learning demands and different learning roles, they have to enter different learning systems which reduce the learning desire and initiative), [7] Narrowness (E-learning systems are applied by small and specific groups). An integration between cloud computing and Web 3.0 meets this need of learners and proposes new concepts of information access models. The latest A) Software as a Service (SaaS)The

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“…In this paper, we improve the module for providing devices, augmented reality content of the smart learning system using conventional transparent display and cloud services [3], it is proposed as the education system is also available to users using mobile devices.…”

Section: Introductionmentioning

confidence: 99%

Advanced Smart Learning using Cloud Service based LMS

Kim

Yang

Kim³

2016

Advanced Science and Technology Letters

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Abstract. Based on exist e-learning system's low educational reality and the user experience, we suggest a augmented reality smart learning system by using transparent display to solve those problem. In normal, AR learning system are hard to provide clear transparency to user and weak reality for user experience, the system's input device are webcam so make marker array recognition system is not stability enough. And system has a shortage that the learners are only can running the system in offline environment. In this paper, we designed a system to solve those problem include recognition, external brightness interference and set education service on LMS system based on cloud service to make user connection possible.

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Private cloud for collaboration and e-Learning services: from IaaS to SaaS

Cited by 151 publications

References 6 publications

Model to Implement Virtual Computing Labs via Cloud Computing Services

Model to Implement Virtual Computing Labs via Cloud Computing Services

A Proposed Smart E-Learning System Using Cloud Computing Services: PaaS, IaaS and Web 3.0

Advanced Smart Learning using Cloud Service based LMS

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