Development of software with cloud computing in 3TZ collaborative team environment

Chaczko, Zenon; Aslanzadeh, Shahrzad; Klempous, Ryszard

doi:10.1109/ib2com.2011.6217935

Cited by 7 publications

(2 citation statements)

References 5 publications

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“…In the literature, researchers like [11] showed that the distance separating the actors of a project of a collaborative development project is not anymore a problem considering the current technological means. Effective models of organization of teams of collaborative development were felt or experienced by researchers such as [12].…”

Section: B Collaborative Development Environmentmentioning

confidence: 99%

Proposal of a collaborative software development platform for the virtual universities: The Virtual University of the Senegal (UVS) experience

Ouya

Gaglo

Mendy

et al. 2015

2015 5th World Congress on Information and Communication Technologies (WICT)

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This paper presents a collaborative software development platform allowing traditional and virtual universities actors who are geographically distant to work on a software development project using common (usual) programming languages.In the context of the virtual universities operating in the field of STEM (Science, Technology, Engineering and Mathematics), pratical classes are needed to acquire and to enhance the necessary skills particularly in software engineering.To the various actors of these digital and traditional universities making some e-learning, this paper supplies a preconfigured collaborative software development environment including synchronization of files belonging to a given project, instant messaging, audio and video. Our platform has an administration interface allowing the management of permissions and preconfigured virtual machines allocation to the various actors.To reach our goals, we used the XMPP protocol for instant messaging and file synchronization. Then, we used WebRTC for audio and video between actors. Finally, we used the RDP protocol to allow the access to the virtual machines.In this work, we show how our platform was used by the Virtual University of the Senegal (UVS) teachers and students in the field of Applied Mathematics and Computer Science for some pratical classes about C/C++, Java, Python and PHP programming languages.Tags: collaborative software development platform, virtual university, STEM education, e-learning

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Section: B Collaborative Development Environmentmentioning

confidence: 99%

Proposal of a collaborative software development platform for the virtual universities: The Virtual University of the Senegal (UVS) experience

Ouya

Gaglo

Mendy

et al. 2015

2015 5th World Congress on Information and Communication Technologies (WICT)

View full text Add to dashboard Cite

show abstract

“…Round robin (RR), Min-Min, Max-Min, and Opportunistic Load balancing algorithms are examples of static algorithms. Volkova et al [27] discussed RR as the most straightforward scheduling algorithm that promotes the idea of time frames. In this approach, the total available time is sliced into different slots.…”

Section: Literature Reviewmentioning

confidence: 99%

A Comparative Analysis of Metaheuristic Techniques for High Availability Systems

Syed,

Shaikh,

Alshahrani

et al. 2024

IEEE Access

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In the ever-evolving technological landscape, ensuring high system availability has become a paramount concern. This research paper focuses on cloud computing, a domain witnessing exponential growth and emerging as a critical use case for high-availability systems. To fulfil the criteria, many services in cloud infrastructures should be combined, relying on the user's demands. Central to this study is load balancing, an integral element in harnessing the full potential of heterogeneous computing systems. In cloud environments, dynamic management of load balancing is crucial. This study explores how virtual machines can effectively remap resources in response to fluctuating loads dynamically, optimizing overall network performance. The core of this research involves an in-depth analysis of several metaheuristic algorithms applied to load balancing in cloud computing. These include Genetic Algorithm, Particle Swarm Optimization, Ant Colony Optimization, Artificial Bee Colony, and Grey Wolf Optimization. Utilizing CloudAnalyst, the study conducts a comparative analysis of these techniques, focusing on key performance metrics such as Total Response Time (TRT) and Data Center Processing Time (DCPT). The findings of this research offer insights into the varying behaviors of these algorithms under different cloud configurations and user retention levels. The ultimate aim is to pave the way for developing innovative load-balancing strategies in cloud computing. By providing a comprehensive evaluation of existing metaheuristic methods, this paper contributes to advancing high-availability systems, underscoring the importance of tailored solutions in the dynamic realm of cloud technology.

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Group-work teaching and learning involving 3 Time Zones (3TZ) model of collaboration in the global workspace

Chaczko

Klempous

Nikodem

et al. 2012

2012 International Conference on Information Technology Based Higher Education and Training (ITHET)

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Development of software with cloud computing in 3TZ collaborative team environment

Cited by 7 publications

References 5 publications

Proposal of a collaborative software development platform for the virtual universities: The Virtual University of the Senegal (UVS) experience

Proposal of a collaborative software development platform for the virtual universities: The Virtual University of the Senegal (UVS) experience

A Comparative Analysis of Metaheuristic Techniques for High Availability Systems

Group-work teaching and learning involving 3 Time Zones (3TZ) model of collaboration in the global workspace

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