Relevant bibliographies by topics / Arch Linux (Electronic resource)

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Academic literature on the topic 'Arch Linux (Electronic resource)'

Author: Grafiati
Published: 4 June 2021
Last updated: 28 July 2025

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Journal articles on the topic "Arch Linux (Electronic resource)"

1

Vladislavić, Đani, Darko Huljenić, and Julije Ožegović. "Virtual Network Resource Optimization Model for Network Function Virtualization." Wireless Communications and Mobile Computing 2021 (August 17, 2021): 1–21. http://dx.doi.org/10.1155/2021/9928210.

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Network function virtualization (NFV) is a concept aimed at achieving telecom grade cloud ecosystem for new-generation networks focusing on capital and operational expenditure (CAPEX and OPEX) savings. This study introduces empirical throughput prediction model for the virtual network function (VNF) and network function virtualization infrastructure (NFVI) architectures based on Linux kernel. The model arises from the methodology for performance evaluation and modeling based on execution area (EA) distribution by CPU core pinning. EA is defined as a software execution unit that can run isolate
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Springer, Tom, Erik Linstead, Peiyi Zhao, and Chelsea Parlett-Pelleriti. "Towards QoS-Based Embedded Machine Learning." Electronics 11, no. 19 (2022): 3204. http://dx.doi.org/10.3390/electronics11193204.

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Due to various breakthroughs and advancements in machine learning and computer architectures, machine learning models are beginning to proliferate through embedded platforms. Some of these machine learning models cover a range of applications including computer vision, speech recognition, healthcare efficiency, industrial IoT, robotics and many more. However, there is a critical limitation in implementing ML algorithms efficiently on embedded platforms: the computational and memory expense of many machine learning models can make them unsuitable in resource-constrained environments. Therefore,
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3

Ocampo, Andres F., Mah-Rukh Fida, Ahmed Elmokashfi, and Haakon Bryhni. "Assessing the Cloud-RAN in the Linux Kernel: Sharing Computing and Network Resources." Sensors 24, no. 7 (2024): 2365. http://dx.doi.org/10.3390/s24072365.

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Cloud-based Radio Access Network (Cloud-RAN) leverages virtualization to enable the coexistence of multiple virtual Base Band Units (vBBUs) with collocated workloads on a single edge computer, aiming for economic and operational efficiency. However, this coexistence can cause performance degradation in vBBUs due to resource contention. In this paper, we conduct an empirical analysis of vBBU performance on a Linux RT-Kernel, highlighting the impact of resource sharing with user-space tasks and Kernel threads. Furthermore, we evaluate CPU management strategies such as CPU affinity and CPU isolat
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4

Vimal, Kumar V., and C. Abdul Majeed K. "E-resources sharing through Linux based Virtual Private Network (VPN): a case study." Annals of Library and Information Studies 65, no. 3 (2020): 156–59. https://doi.org/10.5281/zenodo.4393149.

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Mahatma Gandhi University Central Library has established an SSH-based VPN (Virtual Private Network) service to share e-resources with off-campus libraries. The VPN service ensures seamless access to e-resources to the academic community at off-campus departments and Study Centre libraries. Extension of e-resources access to off-campus has increased the usage of electronic resources subscribed by the university. The article presents the first-hand experience of establishing Open Source based VPN service in a university environment.
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Hong, Cheol-Ho, Kyungwoon Lee, Minkoo Kang, and Chuck Yoo. "qCon: QoS-Aware Network Resource Management for Fog Computing." Sensors 18, no. 10 (2018): 3444. http://dx.doi.org/10.3390/s18103444.

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Fog computing is a new computing paradigm that employs computation and network resources at the edge of a network to build small clouds, which perform as small data centers. In fog computing, lightweight virtualization (e.g., containers) has been widely used to achieve low overhead for performance-limited fog devices such as WiFi access points (APs) and set-top boxes. Unfortunately, containers have a weakness in the control of network bandwidth for outbound traffic, which poses a challenge to fog computing. Existing solutions for containers fail to achieve desirable network bandwidth control,
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6

Liu, Liu, Sibren Isaacman, and Ulrich Kremer. "An Adaptive Application Framework with Customizable Quality Metrics." ACM Transactions on Design Automation of Electronic Systems 27, no. 2 (2022): 1–33. http://dx.doi.org/10.1145/3477428.

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Many embedded environments require applications to produce outcomes under different, potentially changing, resource constraints. Relaxing application semantics through approximations enables trading off resource usage for outcome quality. Although quality is a highly subjective notion, previous work assumes given, fixed low-level quality metrics that often lack a strong correlation to a user’s higher-level quality experience. Users may also change their minds with respect to their quality expectations depending on the resource budgets they are willing to dedicate to an execution. This motivate
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7

Zuo, Zheng, Shichun Yang, Bin Ma, et al. "Design of a CANFD to SOME/IP Gateway Considering Security for In-Vehicle Networks." Sensors 21, no. 23 (2021): 7917. http://dx.doi.org/10.3390/s21237917.

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In recent years, Ethernet has been introduced into vehicular networks to cope with the increasing demand for bandwidth and complexity in communication networks. To exchange data between controller area network (CAN) and Ethernet, a gateway system is required to provide a communication interface. Additionally, the existence of networked devices exposes automobiles to cyber security threats. Against this background, a gateway for CAN/CAN with flexible data-rate (CANFD) to scalable service-oriented middleware over IP (SOME/IP) protocol conversion is designed, and security schemes are implemented
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8

Springer, Tom, Elia Eiroa-Lledo, Elizabeth Stevens, and Erik Linstead. "On-Device Deep Learning Inference for System-on-Chip (SoC) Architectures." Electronics 10, no. 6 (2021): 689. http://dx.doi.org/10.3390/electronics10060689.

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As machine learning becomes ubiquitous, the need to deploy models on real-time, embedded systems will become increasingly critical. This is especially true for deep learning solutions, whose large models pose interesting challenges for target architectures at the “edge” that are resource-constrained. The realization of machine learning, and deep learning, is being driven by the availability of specialized hardware, such as system-on-chip solutions, which provide some alleviation of constraints. Equally important, however, are the operating systems that run on this hardware, and specifically th
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9

Moila, Ramahlapane Lerato, and Mthulisi Velempini. "A Model to Improve the Effectiveness and Energy Consumption to Address the Routing Problem for Cognitive Radio Ad Hoc Networks by Utilizing an Optimized Cuckoo Search Algorithm." Energies 14, no. 12 (2021): 3464. http://dx.doi.org/10.3390/en14123464.

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A cognitive radio ad hoc network (CRAHN) is a mobile network that can communicate without any form of centralized infrastructure. The nodes can learn about the environment and make routing decisions. Furthermore, distributed computing, spectrum mobility, and the Internet of Things have created large data sets, which require more spectrum for data transmission. Unfortunately, the spectrum is a scarce resource that underutilized by licensed users, while unlicensed users are overcrowding the free spectrum. The CRAHNs technology has emerged as a promising solution to the underutilization of the sp
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10

Wu, Wenjuan, Dongchu Su, Bo Yuan, and Yong Li. "Intelligent Security Monitoring System Based on RISC-V SoC." Electronics 10, no. 11 (2021): 1366. http://dx.doi.org/10.3390/electronics10111366.

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With the development of the economy and society, the demand for social security and stability increases. However, traditional security systems rely too much on human resources and are affected by uncontrollable community security factors. An intelligent security monitoring system can overcome the limitations of traditional systems and save human resources, contributing to public security. To build this system, a RISC-V SoC is first designed in this paper and implemented on the Nexys-Video Artix-7 FPGA. Then, the Linux operating system is transplanted and successfully run. Meanwhile, the driver
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Books on the topic "Arch Linux (Electronic resource)"

1

Proffitt, Brian. Introducing Ubuntu: Desktop Linux. Thomson Course Technology, 2007.

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Richard, Petersen. Ubuntu 8 Linux pocket administrator. Surfing Turtle Press, 2008.

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Liu, Bohong. Linux + OpenOffice shi yong shi wu. Bo shuo wen hua gu fen you xian gong si, 2003.

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Sobell, Mark G. A practical guide to Ubuntu Linux. Prentice Hall, 2008.

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Sery, Paul G. Ubuntu Linux for dummies. Wiley Pub., Inc., 2007.

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International Business Machines Corporation. International Technical Support Organization, ed. Linux integration with IBM i5/OS. IBM, International Technical Support Organization, 2006.

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Andy, Channelle, and Sicam Jaime, eds. Beginning Ubuntu Linux. 4th ed. Apress, 2009.

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Keir, Thomas, ed. Beginning Ubuntu Linux. 5th ed. Apress, 2010.

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van, Vugt Sander, ed. Beginning Ubuntu Linux. 6th ed. Apress, 2011.

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Negus, Chris. Ubuntu Linux Toolbox. John Wiley & Sons, Ltd., 2008.

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