An overview of OpenStack architecture: a message queuing services node

Lima, Stanley; Rocha, Álvaro; Roque, Licínio

doi:10.1007/s10586-017-1034-x

Cited by 14 publications

(6 citation statements)

References 31 publications

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“…In addition, to utilize the BT solution effectively, a better deployment flow could be developed in the future so that the machine to be deployed can join and quit the massive system deployment pool in a more flexible way. Moreover, extending the mechanism developed in this work to the OpenStack Ironic [97], an OpenStack program that provisions bare-metal machines, would provide another bare-metal provisioning solution for the cloud-based infrastructure. Finally, to make the massive deployment on a larger scale, developing a tracker-less mechanism to use DHT while sending data to the desired machines only is a very good topic for future exploration.…”

Section: Discussionmentioning

confidence: 99%

A Novel Massive Deployment Solution Based on the Peer-to-Peer Protocol

et al. 2019

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: The BitTorrent (BT) is a peer-to-peer (P2P) file sharing protocol that was developed approximately 20 years ago, is becoming increasingly popular, and has been widely accepted. The BT-based mass deployment system can be used to improve performance and scalability that cannot be achieved by the unicasting, broadcasting, and multicasting protocols. However, when the BT-based system is applied in massive deployments, a major issue related to insufficient temporary storage space to store the whole system image before deploying needs to be resolved. Such problems arose because the system is deployed to the disk space, meaning that it cannot be used for temporary storage. Therefore, a novel BT-based solution that can remove the limitations caused by the insufficient temporary storage issue is proposed. The BT-based mass deployment system was designed by using the file system blocks transferring (FSBT) mechanism. The receiver of the FSBT mechanism can obtain the blocks of the file system from other peers. Then, those blocks will be written directly to raw disks or partitions. The sender of the FSBT mechanism can read the blocks of file systems directly from raw disks or partitions. Then, the blocks can be sent to other peers. This approach solves the insufficient temporary storage issue. The novel BT-based mass deployment system was tested and verified for the configuration consisting of at most 32 personal computers (PCs). To demonstrate the achievable performance of the novel BT-based system, comparisons were made between the novel program and the traditional multicast solutions, as well as other solutions for mass deployment. The proposed BT solution can be much faster than the multicast solution when deploying 11 machines or more. The experimental results demonstrated the feasibility and superior performance of the proposed system. Furthermore, performance comparisons of the proposed BT-based mass deployment system versus other solutions demonstrated the feasibility and efficiency of the proposed solution. In the future, the BT parameters can be further optimized, and the simultaneous read and write features can be implemented to improve the deployment performance. In addition, the BT-based mass deployment system can serve as the basis for the development of other mass deployment systems.

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Section: Discussionmentioning

confidence: 99%

A Novel Massive Deployment Solution Based on the Peer-to-Peer Protocol

et al. 2019

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“…OpenStack supports bare-metal, virtual machine (VM), and container-based hosts [34]. The integrated program in OpenStack for bare-metal machines is OpenStack Ironic [9,35], and it provides bare-metal provisioning for the Linux system.…”

Section: File System Imaging Methodsmentioning

confidence: 99%

The Design and Implementation of a Novel Open Source Massive Deployment System

et al. 2018

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Abstract:The hypervisor and container are emerging cloud computing and fog computing technologies, which enable rapid system deployment. However, both of the technologies depend on the operating system (OS) and applications that are installed on the host machines. System deployment is the activity to deliver and install OSs and applications onto computers. Such deployment activities are widely required in the infrastructure of cloud computing, fog computing, high-performance computing clusters, and classrooms of computer education. Albeit the concept of system deployment is not new, traditional solutions cannot support the rapid evolution of open source file systems. Furthermore, existing solutions cannot support the massive deployment of disks in a computer as well as the massive deployment in large-scale computers. To resolve the issue, the authors proposed novel system architecture as well as software that is openly available. The experiments are undertaken by deploying a Linux system to 1 to 30 Universal Serial Bus (USB) flash drives in a single machine and to 1 to 32 machines in a network using the software that is being developed in this work. The results have demonstrated the feasibility and efficiency of the proposed work. The relationships between the bus bandwidth, the writing rate of the USB flash drive, and the number of flash drives were also formulated as a govern equation. Performance evaluation and cost savings in comparing to the deployment cases adopting commercial software were also provided for demonstrating the performance enhancement and cost reduction by using the novel deployment system. In general, the proposed architecture and the developed software are highly effective from the aspects of both performance and cost.

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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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An overview of OpenStack architecture: a message queuing services node

Cited by 14 publications

References 31 publications

A Novel Massive Deployment Solution Based on the Peer-to-Peer Protocol

A Novel Massive Deployment Solution Based on the Peer-to-Peer Protocol

The Design and Implementation of a Novel Open Source Massive Deployment System

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

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