SLA-aware Virtual Machine Scheduling in OpenStack-based Private Cloud

Parakh, Preeti; Narayan, D. G.; Mulla, Mohammed Moin; Baligar, Vishwanath P.

doi:10.1109/csitss.2018.8768760

Cited by 9 publications

(2 citation statements)

References 9 publications

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“…The hyper-converged cloud platform adopts the open-source cloud computing solution OpenStack (Lima et al 2019;Sahasrabudhe and Sonawani 2014), which has a modular architecture (Lima et al 2019), can manage large pools of resources throughout the data center (Chi et al 2018;Kai et al 2020;Parakh et al 2018;Sharma and Joshi 2016;Wang et al 2022), including compute, storage, and network resources. Therefore, it is possible to build the big data training project platform for college students based on OpenStack.…”

Section: Relevant Technologymentioning

confidence: 99%

Design and Implementation of Big Data Training Project Platform Based on Hyper-converged Architecture

Zheng,

Bai,

Huang

2023

Atlantis Highlights in Computer Sciences

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Building high quality big data training courses is the necessary foundation and urgent need for training big data talents, and it is also an urgent task at present. In this study, hyper-converged architecture technology is used to design and implement a big data training project platform for college students, providing different simulation scenarios for big data training. The system software architecture design adopts the principle of loose coupling and hierarchical design, from bottom to top, it is mainly divided into data acquisition layer, physical layer, device virtualization layer, data layer, business processing layer, service layer, User Interface layer. The platform deploys private cloud OpenStack on CentOS7. The big data analysis process and technology are the data acquisition module (Scrapy and NoSQL), data cleaning module (Kettle), data mining and analysis module (Python scripts), and data visualization module (Power BI). The big data training project platform based on Openstack provides reference for the construction of related platforms.

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Section: Relevant Technologymentioning

confidence: 99%

Design and Implementation of Big Data Training Project Platform Based on Hyper-converged Architecture

Zheng,

Bai,

Huang

2023

Atlantis Highlights in Computer Sciences

View full text Add to dashboard Cite

show abstract

“…The hyper-converged cloud platform adopts the open-source cloud computing solution OpenStack (Lima et al 2019;Sahasrabudhe and Sonawani 2014), which has a modular architecture (Lima et al 2019), can manage large pools of resources throughout the data center (Chi et al 2018;Kai et al 2020;Parakh et al 2018;Sharma and Joshi 2016;Wang et al 2022), including compute, storage, and network resources. Therefore, it is possible to build an entrepreneurship and innovation simulation platform for college students based on OpenStack.…”

Section: Relevant Technologymentioning

confidence: 99%

Construction of Simulation Platform for College Students’ Innovation and Entrepreneurship Courses Using Hyper-Converged Cloud Platform

Zheng,

Bai,

Huang

2023

Atlantis Highlights in Computer Sciences

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In the era of "mass entrepreneurship and innovation", how to improve innovation and entrepreneurship education is one of the urgent problems to be solved. Therefore, the construction of high-quality simulation platform for innovation and entrepreneurship courses is the necessary foundation, urgent need and urgent task to carry out innovation and entrepreneurship education. Since innovation and entrepreneurship education involves the cross-integration of multiple courses with rich content and forms, the simulation platform for college students' innovation and entrepreneurship courses built by using simulation platform can integrate the training content of multiple courses and provide a practical simulation environment according to actual needs. The physical layer of the platform is five X86 servers, the network layer is two ten gigabit switches, the virtual layer is OpenStack, the data layer is computing center and data center, the resource scheduling layer is task resource scheduling, and the application layer provides specific application scenarios. The simulation platform of college students' innovation and entrepreneurship courses provides reference for the construction of relevant platforms.

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