Relevant bibliographies by topics / Monitoraggio,Raspberry Pi,cluster

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  1. Journal articles

Academic literature on the topic 'Monitoraggio,Raspberry Pi,cluster'

Author: Grafiati
Published: 4 June 2021
Last updated: 5 February 2022

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Journal articles on the topic "Monitoraggio,Raspberry Pi,cluster"

1

Papakyriakou, Dimitrios, Dimitra Kottou, and Ioannis Kostouros. "Benchmarking Raspberry Pi 2 Beowulf Cluster." International Journal of Computer Applications 179, no. 32 (2018): 21–27. http://dx.doi.org/10.5120/ijca2018916728.

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Papakyriakou, Dimitrios. "Benchmarking Raspberry Pi 2 Hadoop Cluster." International Journal of Computer Applications 178, no. 42 (2019): 37–47. http://dx.doi.org/10.5120/ijca2019919328.

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Abdulhamid, Mohanad, and Mwalimu Muthami. "Design of Raspberry PI Parallel Processor." Scientific Bulletin 25, no. 2 (2020): 63–74. http://dx.doi.org/10.2478/bsaft-2020-0009.

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AbstractAs data centers have increased in size, there has been a need to create clusters out of cheaper, more affordable commodity parts that can easily be replaced upon failure, and that create more affordable data centers overall. However, such large clusters are still outside of feasibility for individuals and small businesses. It is a worthwhile exercise to see if much smaller clusters could be created for such applications, and to compare their performance / price measure to that of the previous traditional data centers. For this paper, such a cluster is created using Raspberry Pis which
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4

Singh, Mr Raghvendra Omprakash. "Cluster Computing using Raspberry PI -3 with Python Programming." International Journal for Research in Applied Science and Engineering Technology 7, no. 5 (2019): 269–71. http://dx.doi.org/10.22214/ijraset.2019.5043.

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Babchuk, S. M., Т. V. Humeniuk, and I. T. Romaniv. "MATHEMATICAL MODELS PRODUCTIVITY OF CLUSTER SYSTEM BASED ON RASPBERRY PI 3B+." Radio Electronics, Computer Science, Control 1, no. 1 (2021): 46–56. http://dx.doi.org/10.15588/1607-3274-2021-1-5.

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Context. High-performance computing systems are needed to solve many scientific problems and to work with complex applied problems. Previously, real parallel data processing was supported only by supercomputers, which are very limited and difficult to access. Currently, one way to solve this problem is to build small, cheap clusters based on single-board computers Raspberry Pi.
 Objective. The goal of the work is the creation of a complex criterion for the efficiency of the cluster system, which could properly characterize the operation of such a system and find the dependences of the per
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6

Myint, Khin Nyein, Myo Hein Zaw, and Win Thanda Aung. "Parallel and Distributed Computing Using MPI on Raspberry Pi Cluster." International Journal of Future Computer and Communication 9, no. 1 (2020): 18–22. http://dx.doi.org/10.18178/ijfcc.2020.9.1.559.

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7

Cloutier, Michael, Chad Paradis, and Vincent Weaver. "A Raspberry Pi Cluster Instrumented for Fine-Grained Power Measurement." Electronics 5, no. 4 (2016): 61. http://dx.doi.org/10.3390/electronics5040061.

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8

Sujana, Aprianti Putri. "Implementasi Cluster Server Pada Raspberry Pi Dengan Menggunakan Metode Load Balancing." Komputika : Jurnal Sistem Komputer 8, no. 1 (2019): 37–43. http://dx.doi.org/10.34010/komputika.v8i1.1623.

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Ketika server mengalami overload, hal ini akan membuat server melambat, efeknya adalah waktu akses layanan bertambah yang akan membuat client tidak nyaman dalam menggunakan layanan yang ada pada server. Cluster server menawarkan solusi agar beban terbagi secara merata, sistem ini memanfaatkan beberapa komputer yang di konfigurasi sedemikian rupa agar dapat berkerja bersama-sama. Hasil dari pengujian cluster server menunjukan peningkatan waktu respon http request sebesar 59% lebih cepat dibandingkan tanpa menggunakan sistem cluster server. Keuntungan lain menggunakan cluster server adalah adany
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9

Rohadi, E., A. Amalia, A. Prasetyo, M. F. Rahmat, A. Setiawan, and I. Siradjuddin. "Cluster implementation on mini Raspberry Pi computers using Round Robin Algorithm." Journal of Physics: Conference Series 1450 (February 2020): 012068. http://dx.doi.org/10.1088/1742-6596/1450/1/012068.

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10

Kim, Woojae, and Inbum Jung. "Simulator for Interactive and Effective Organization of Things in Edge Cluster Computing." Sensors 21, no. 8 (2021): 2616. http://dx.doi.org/10.3390/s21082616.

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Edge computing is intended to process events that occur at the endpoint of the Internet of Things (IoT) network quickly and intelligently. Edge regions must be organized effectively to facilitate cooperation so that the intention of edge computing can be realized. However, inevitably, many human and material resources are required in the process of arranging things in the edge area to confirm the appropriateness of the thing operation. To address this problem, we proposed a simulator that created a virtual space for edge computing and provided an interactive role and effective organization for
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