Cloud E-learning and Benchmarking Platform for the Parallel and Distributed Computing Course

Ristov, Sasko; Gušev, Marjan; Velkoski, Goran

doi:10.1109/educon.2014.6826161

Cited by 7 publications

(3 citation statements)

References 17 publications

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“…They proposed a cloud model for the platform, as well as [13]. Bastidas [14] proposed the implementation of the computer networking laboratory infrastructure to distance students in order to extend the learning.…”

Section: Related Workmentioning

confidence: 99%

Cloud based laboratory for distance education

Ristov

Gušev

Donevski

2014

2014 37th International Convention on Information and Communication Technology, Electronics and Microelectronics (MIPRO)

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Today's dynamic life has changed the traditional teaching from the classroom and laboratory based classical learning to an approach using online and distance e-Learning. Universities usually follow this trend and enable their resources as online utilities for the students. There are several ways to offer these facilities online and cloud is the most promising one when analyzing several criteria. The cloud technology provides many benefits reducing the overall cost and improving the business continuity. In this paper we present an idea how to transfer the traditional computer laboratory into a cloud based utility using open source cloud frameworks. This transformation creates a dynamic, flexible, elastic, reliable and modern laboratory that can serve the students as a tool for distance learning for many courses simultaneously. It acts on a "Lab as a Service" principle.

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Section: Related Workmentioning

confidence: 99%

Cloud based laboratory for distance education

Ristov

Gušev

Donevski

2014

2014 37th International Convention on Information and Communication Technology, Electronics and Microelectronics (MIPRO)

Self Cite

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“…This distance learning, also known as fourth generation distance learning, creates processes of collaborative learning thanks to on-line networks. The impact of the technology on the learning, training and education has generated e-learning models [20]. Today the most used and widespread types are three:…”

Section: The Evolution Of the E-learning Platformmentioning

confidence: 99%

“The Postman Always Rings Twice”: Evaluating E-Learning Platform a Decade Later

Ballarano¹,

Colace

Santo³

et al. 2016

Int. J. Emerg. Technol. Learn.

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Abstract-E-Learning represents an effective answer to the continuous request for life-long learning. In fact, this approach allows the flexibility and quality requested by such a kind of learning process. In this scenario, a great number of E-Learning platforms have been introduced on the market and their selection is not a trivial task: various features should be taken into account during the evaluation of an ELearning platform. Obviously, the analysis of the technical features of an E-Learning platform is not enough: it is also important to understand how it can be integrated in the didactic context in order to facilitate learning and training and what principles are applied to guide the way the system is used. A decade ago, the authors of this paper introduced a model for describing and characterizing on-line learning platform components. Today, the aim of this paper is to evaluate and upgrade this model. During this period, many things have changed in the Web (the introduction of social networks, new multimedia protocols, etc.): what has changed in the E-Learning platforms? Today how to evaluate the E-Learning platforms? In this paper the evaluation model will be updated and then used to evaluate the most known existing platforms.

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“…Sedangkan pada penelitian (Wibawa, et.al, 2024 Passing pada SIM RS (Sistem Informasi Manajemen Rumah Sakit). Pada penelitian Ristov, et. al.…”

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Stitching Image Dengan Scale Invariant Feature Transform Menggunakan Paralel Programming Mpi (Message Passing Interface)

Dian Kartika Sari

2024

JSRD

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MPI (Message-Passing Interface) merupakan protokol komunikasi untuk pemrograman paralel komputer. Fitur dari MPI adalah data yang disimpan pada setiap komputer sepenuhnya terpisah dari yang tersimpan di komputer lain. Jika satu komputer membutuhkan data dari yang lain, atau ingin mengirim data tertentu ke semua komputer lain, secara eksplisit harus library yang sesuai meminta transfer data. Pada pembahasan ini digunakan virtual mesin sebagai pengganti penggunaan komputer untuk melakukan simulasi pemrograman paralel. Virtual mesin yang digunakan adalah virtualbox dengan jaringan NAT yang telah terhubung. Pada pengujian kinerja Paralel Programming dengan MPI (Message Passing Interface) ini dilakukan proses penggabungan gambar (stitching image) dengan menggunakan ektraksi fitur dengan Scale Invariant Feature Transform. Hasil pengujian pertama menghasilkan kecepatan proses (stitching image) selama 5.79 detik dengan efisiensi 0,132 di node master, kecepatan proses 5.85 detik di node slave1 dengan efisiensi 0,087 dan kecepatan proses 5.87 detik pada node slave2 dengan efisiensi 0,065.

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Cloud E-learning and Benchmarking Platform for the Parallel and Distributed Computing Course

Cited by 7 publications

References 17 publications

Cloud based laboratory for distance education

Cloud based laboratory for distance education

“The Postman Always Rings Twice”: Evaluating E-Learning Platform a Decade Later

Stitching Image Dengan Scale Invariant Feature Transform Menggunakan Paralel Programming Mpi (Message Passing Interface)

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