scholarly journals Deploying a CMS Tier-3 Computing Cluster with Grid-enabled Computing Infrastructure

2016 ◽  
Author(s):  
Sean Stewart
2019 ◽  
Vol 214 ◽  
pp. 07030
Author(s):  
Marco Aldinucci ◽  
Stefano Bagnasco ◽  
Matteo Concas ◽  
Stefano Lusso ◽  
Sergio Rabellino ◽  
...  

Obtaining CPU cycles on an HPC cluster is nowadays relatively simple and sometimes even cheap for academic institutions. However, in most of the cases providers of HPC services would not allow changes on the configuration, implementation of special features or a lower-level control on the computing infrastructure, for example for testing experimental configurations. The variety of use cases proposed by several departments of the University of Torino, including ones from solid-state chemistry, computational biology, genomics and many others, called for different and sometimes conflicting configurations; furthermore, several R&D activities in the field of scientific computing, with topics ranging from GPU acceleration to Cloud Computing technologies, needed a platform to be carried out on. The Open Computing Cluster for Advanced data Manipulation (OCCAM) is a multi-purpose flexible HPC cluster designed and operated by a collaboration between the University of Torino and the Torino branch of the Istituto Nazionale di Fisica Nucleare. It is aimed at providing a flexible and reconfigurable infrastructure to cater to a wide range of different scientific computing needs, as well as a platform for R&D activities on computational technologies themselves. We describe some of the use cases that prompted the design and construction of the system, its architecture and a first characterisation of its performance by some synthetic benchmark tools and a few realistic use-case tests.


CYCLOTRON ◽  
2019 ◽  
Vol 2 (2) ◽  
Author(s):  
Sabri Balafif ◽  
Tining Haryanti

Abstrak— Penelitian ini bertujuan untuk mengetahui pola trafik internet pada beberapa lokasi yang diteliti. Pengamatan dilakukan selama dua belas (12) bulan. Data diolah dengan metode statistika untuk mendapatkan proyeksi pengguna internet dan kebutuhan titik hotspot. Penelitian menghasilkan rekomendasi kebutuhan hotspot dengan mempertimbangkan mobilitas pengguna internet dan countur lokasi. Rekomendasi perangkat berbeda pada tiap lokasi dari sisi geografis dan padatnya area. Line of Sight mempengaruhi kemampuan perangkat dalam memancarkan signal internet.Hasil penelitian menunjukkan terjadinya peningkatan pengguna internet pada hari raya umat Islam, Hal ini diduga karena mayoritas masyarakat pada lokasi tersebut muslim. Proyeksi pelanggan di 300 desa didapatkan minimum penetrasi 36,7% dan maksimal 85.2%. Rekomendasi sejumlah 940 Titik hotspot dengan area bandwith secara statik sebesar 3Mbps (aggregate download dan upload).  Penelitian memperhitungkan Link Budget perangkat backhoul tier 3 dengan frekuensi 24Ghz. Setiap  perangkat dapat menangani rata-rata jumlah device yang terkoneksi secara bersama sejumlah > 200 Device teknologi Wi-Fi (IEEE 802.11). Beban total trafik  > 1,6 GBPS. Rekomendasi Arsitektur  broadband wireless access Berbasis Hotspot Di Jawa Timur yaitu Surabaya 140 lokasi dengan 400 titik hotspot, Mojokerto sejumlah 70 lokasi dengan 210 titik hotspot. Pandaan sejumlah 80 lokasi dengan 240 titik hotspot Malang  43 lokasi dengan 90 titik hotspot.Kata kunci: Broadband Wireless Access, Hotspot, Line Of SightAbstract— This study aims to determine the pattern of internet traffic in several locations in Jawa Indonesia. Observations were made for twelve (12) months. Data is processed using statistical methods to obtain projections of internet users and hotspot needs. This study produces recommendations for hotspot needs by considering internet user mobility and location contours. Device recommendations vary by location in terms of geography and crowded areas. Line of Sight affects the ability of the device to emit internet signals. The results showed an increase in internet users on Muslim holidays. Projected customers in 300 villages have a minimum penetration of 36.7% and a maximum of 85.2%. The recommended number of 940 hotspots with a static area of 3Mbps (download aggregate and upload). This study takes into account the tier 3 Link Budget backhoul device with a frequency of 24Ghz. Each device can handle the average number of devices that are connected together by> 200 Wi-Fi technology devices (IEEE 802.11). Total traffic load> 1.6 GBPS. Architectural recommendations for broadband wireless access based on hotspots in East Java, Surabaya, 140 locations with 400 hotspots, Mojokerto with 70 locations with 210 hotspots. Pandaan a total of 80 locations with 240 Malang hotspots 43 locations with 90 hotspots Keywords: Broadband Wireless Access, Hotspot, Line Of Sight


2020 ◽  
Vol 48 (11) ◽  
pp. 1-9
Author(s):  
Xiaohong Chen ◽  
Ming Chen ◽  
Shih-Heng Yu ◽  
Yinxia Wu ◽  
Anqian Tao

We examined the influence of the type (positive vs. negative) and source (patients' online community vs. general online community) of electronic word-of-mouth (eWOM) on consumers' health care-seeking decisions. Participants in this 2 × 2 between-subjects study comprised 160 patients who had sought medical advice at a large Tier 3, Class A hospital in China in 2019. The results show that negative (vs. positive) eWOM had a greater influence on consumers' health care-seeking decisions, with similar results for the patients' (vs. general) online community. In addition, positive eWOM from the patients' (vs. general) online community had a greater influence on participants' health careseeking decisions but the result was not significant for negative eWOM. Credibility of eWOM also mediated the relationship between eWOM and health care-seeking decision. Practical and theoretical implications are discussed.


Author(s):  
Awangku Muhammad Iqbal Yura ◽  
S. H. Shah Newaz ◽  
Fatin Hamadah Rahman ◽  
Thien Wan Au ◽  
Gyu Myoung Lee ◽  
...  

2021 ◽  
pp. 109830072199608
Author(s):  
Angus Kittelman ◽  
Sterett H. Mercer ◽  
Kent McIntosh ◽  
Robert Hoselton

The purpose of this longitudinal study was to examine patterns in implementation of Tier 2 and 3 school-wide positive behavioral interventions and supports (SWPBIS) systems to identify timings of installation that led to higher implementation of advanced tiers. Extant data from 776 schools in 27 states reporting on the first 3 years of Tier 2 implementation and 359 schools in 23 states reporting on the first year of Tier 3 implementation were analyzed. Using structural equation modeling, we found that higher Tier 1 implementation predicted subsequent Tier 2 and Tier 3 implementation. In addition, waiting 2 or 3 years after initial Tier 1 implementation to launch Tier 2 systems predicted higher initial Tier 2 implementation (compared with implementing the next year). Finally, we found that launching Tier 3 systems after Tier 2 systems, compared with launching both tiers simultaneously, predicted higher Tier 2 implementation in the second and third year, so long as Tier 3 systems were launched within 3 years of Tier 2 systems. These findings provide empirical guidance for when to launch Tier 2 and 3 systems; however, we emphasize that delays in launching advanced systems should not equate to delays in more intensive supports for students.


2021 ◽  
Vol 13 (15) ◽  
pp. 8420
Author(s):  
Peter W. Sorensen ◽  
Maria Lourdes D. Palomares

To assess whether and how socioeconomic factors might be influencing global freshwater finfisheries, inland fishery data reported to the FAO between 1950 and 2015 were grouped by capture and culture, country human development index, plotted, and compared. We found that while capture inland finfishes have greatly increased on a global scale, this trend is being driven almost entirely by poorly developed (Tier-3) countries which also identify only 17% of their catch. In contrast, capture finfisheries have recently plateaued in moderately-developed (Tier-2) countries which are also identifying 16% of their catch but are dominated by a single country, China. In contrast, reported capture finfisheries are declining in well-developed (Tier-1) countries which identify nearly all (78%) of their fishes. Simultaneously, aquacultural activity has been increasing rapidly in both Tier-2 and Tier-3 countries, but only slowly in Tier-1 countries; remarkably, nearly all cultured species are being identified by all tier groups. These distinctly different trends suggest that socioeconomic factors influence how countries report and conduct capture finfisheries. Reported rapid increases in capture fisheries are worrisome in poorly developed countries because they cannot be explained and thus these fisheries cannot be managed meaningfully even though they depend on them for food. Our descriptive, proof-of-concept study suggests that socioeconomic factors should be considered in future, more sophisticated efforts to understand global freshwater fisheries which might include catch reconstruction.


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