Multicast and customized deployment of large-scale operating systems

Lee, Kuen-Min; Teng, Wei-Guang; Wu, Jin-Neng; Huang, Kuo-Ming; Ko, Yao-Hsing; Hou, Ting‐Wei

doi:10.1007/s10515-013-0139-6

Cited by 5 publications

(8 citation statements)

References 7 publications

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“…From Figure 7b, the efficiency became better when deploying more than eight machines, because the average time differences are decreasing when compared with the cases for deploying one, two, and four machines. This finding is consistent with previous research result in the similar experiments by Lee et al [37], which concluded that the total network bandwidth consumption of the deployment is significantly reduced if the machines are more than eight machines in general. …”

Section: Performance Of Massive Deployment By Using Network Connectionssupporting

confidence: 93%

“…With the PXE environment enabled, bare-metal computers can be booted from network interface cards and initiate system deployment. UDPcast [37] is an open source file transfer software that can transfer data simultaneously to many destinations in either the multicast or broadcast mechanism on a local area network (LAN). The multicast or broadcast method makes the file transfer in UDPcast more efficient than other methods, such as Network File System (NFS) and File Transfer Protocol (FTP).…”

Section: Other Related Workmentioning

confidence: 99%

“…When dealing with the network connection where massive machines are connected to network switches, at least four types of communication protocols (i.e., unicast, broadcast, multicast [37], and peer-to-peer (P2P) networking [44], such as BitTorrent [45]) can be used to deploy the system image to each machine. These four protocols were implemented in Clonezilla.…”

Section: Massive Deploymentmentioning

confidence: 99%

“…The only difference is how the client machine to be deployed receives the system image from different protocols. Hence, the steps for such a massive deployment can be defined according to Lee et al [37]: (1) save a system image from the template machine; (2) start the required services for the client machines, including DHCP, TFTP, and the data-distributing service (unicast, broadcast, multicast, or BitTorrent); and, (3) boot the client machines from PXE, receive the system image data, and then write to the disks.…”

Section: Massive Deploymentmentioning

confidence: 99%

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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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Section: Performance Of Massive Deployment By Using Network Connectionssupporting

confidence: 93%

Section: Other Related Workmentioning

confidence: 99%

Section: Massive Deploymentmentioning

confidence: 99%

Section: Massive Deploymentmentioning

confidence: 99%

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

et al. 2018

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“…This section reviews and discusses the network protocols and related works for massive deployment. At least four types of communication protocols, including the unicast, broadcast, multicast [39], and P2P networking [40] can be used for massive deployment. Normally, the unicast protocol is not suitable for massive deployment due to the limitations of scaling up.…”

Section: Related Workmentioning

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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A BitTorrent Mechanism-Based Solution for Massive System Deployment

et al. 2021

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System deployment of a computer environment plays a critical role in the daily administration of computer systems, and tasks of massive deployments may take a lot of time for data center administrator(s). The existing solutions for massive deployment normally consist of storage spaces and extra computer servers for running deployment services. Existing solutions of multicast massive deployment are not robust because the overall deployment performance will worsen if one client machine fails. Because of the limitation of the network protocol, a multicast solution is not scalable. Although scholars have proposed solutions based on BitTorrent (BT) to overcome performance and scalability problems, solutions are not good enough because they still require the storage space to save the image file. In this paper, we present a novel mechanism of massive deployment called ''BT deployment mechanism from the raw device'' (BDMfRD), which differs from conventional solutions in that it avoids creating any image file in the deployment process or using external storage for it. The proposed solution was verified by conducting 10 experiments to replicate the 50 GB system of the source machine to 1-32 destination computers. Experimental results showed that the proposed method reduced the total time for deploying 32 computers by 45.289%. The implemented software is the first massive deployment solution that provides light, robust, efficient, and scalable capabilities simultaneously.INDEX TERMS System deployment, bare-metal provisioning, massive deployment, free software, open source, cloning, imaging, peer-to-peer (P2P), BitTorrent (BT).

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Multicast and customized deployment of large-scale operating systems

Cited by 5 publications

References 7 publications

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

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

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

A BitTorrent Mechanism-Based Solution for Massive System Deployment

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