Construction of Software and Hardware Resource Pool in Data Center Using Virtualization

The INFN scientific computing infrastructure is composed of more than 30 sites, ranging from CNAF (Tier-1 for LHC and main data center for nearly 30 other experiments) and nine LHC Tier-2s, to ∼ 20 smaller sites, including LHC Tier-3s and not-LHC experiment farms. A comprehensive review of the installed resources, together with plans for the near future, has been collected during the second half of 2017, and provides a general view of the infrastructure, its costs and its potential for expansions; it also shows the general trends in software and hardware solutions utilized in a complex reality as INFN. As of the end of 2017, the total installed CPU power exceeded 800 kHS06 (∼ 80,000 cores) while the total storage net capacity was over 57 PB on disk and 97 PB on tape: the vast majority of resources (95% of cores and 95% of storage) are concentrated in the 16 largest centers. Future evolutions are explored and are towards the consolidation into big centers; this has required a rethinking of the access policies and protocols in order to enable diverse scientific communities, beyond LHC, to fruitfully exploit the INFN resources. On top of that, such an infrastructure will be used beyond INFN experiments, and will be part of the Italian infrastructure, comprising other research institutes, universities and HPC centers.

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QUALITY ASSURANCE OF SOFTWARE AND HARDWARE COMPLEXES FOR DATA STORAGE AND PROCESSING CENTERS

Issues of radio electronics ◽

10.21778/2218-5453-2018-3-145-150 ◽

2018 ◽

pp. 145-150

Author(s):

Ya. A. Ivakin ◽

S. A. Morozov ◽

V. M. Balashov ◽

M. S. Smirnova

Keyword(s):

Quality Assurance ◽

Data Storage ◽

Performance Indicators ◽

Data Center ◽

Data Centers ◽

Information Support ◽

Technical Regulation ◽

Technical Base ◽

Software And Hardware

The article analyzes and presents an analysis of the structure of software and hardware systems, reviewed the documentation of regulatory and technical regulation, identified the main performance indicators for software and hardware systems for data storage and processing centers. A generalized representation of the software and hardware structure of software and hardware complexes for data centers in the form of an embedded scheme was developed and presented. Also, the article identifies and structures the basic or typical services supported by modern software and hardware systems of data centers. The role and place of software and hardware complexes of data centers in information support of state and corporate governance bodies are determined. The main indicators of the quality of the functioning of the software-hardware complexes of data center are presented in the work when hosting services are provided. The problem of creation of the normative and technical base and scientific and methodological tools for assessment and improvement of the quality of the corresponding software and hardware complexes is revealed. The structure of software and hardware systems, reviews the documentation of regulatory and technical regulation, determines the main performance indicators for software and hardware systems for data storage and processing centers.

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Research on cloud computing high-density data center infrastructure and environment matching technology

MATEC Web of Conferences ◽

10.1051/matecconf/202133602028 ◽

2021 ◽

Vol 336 ◽

pp. 02028

Author(s):

Lianteng Shen ◽

Shengpan Qian ◽

Tianyi Zhai ◽

Ling Li ◽

Zhe Li

Keyword(s):

Cloud Computing ◽

Data Center ◽

Data Centers ◽

Rapid Development ◽

High Density ◽

Density Data ◽

Virtualization Technology ◽

Software And Hardware ◽

New Infrastructure

The current rapid development of cloud computing and networks has put forward new requirements for the construction of new infrastructure such as data centers. This paper compares traditional data centers and high-density data centers, proposes a three-tier infrastructure for high-density data centers, and analyzes the data center environment. To solve the obvious problem of software and hardware heterogeneity in high-density data centers, this paper uses virtualization technology to pool resources in high-density data centers and introduces SOA architecture to manage software and hardware resources hierarchically. Finally, the data center infrastructure and environment matching technology are studied.

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Wearable Edge AI Applications for Ecological Environments

Sensors ◽

10.3390/s21155082 ◽

2021 ◽

Vol 21 (15) ◽

pp. 5082

Author(s):

Mateus C. Silva ◽

Jonathan C. F. da Silva ◽

Saul Delabrida ◽

Andrea G. C. Bianchi ◽

Sérvio P. Ribeiro ◽

...

Keyword(s):

Design Pattern ◽

Large Data ◽

Forest Environment ◽

New Approach ◽

Hardware Resource ◽

M 12 ◽

Software And Hardware ◽

And Performance ◽

Global Accuracy

Ecological environments research helps to assess the impacts on forests and managing forests. The usage of novel software and hardware technologies enforces the solution of tasks related to this problem. In addition, the lack of connectivity for large data throughput raises the demand for edge-computing-based solutions towards this goal. Therefore, in this work, we evaluate the opportunity of using a Wearable edge AI concept in a forest environment. For this matter, we propose a new approach to the hardware/software co-design process. We also address the possibility of creating wearable edge AI, where the wireless personal and body area networks are platforms for building applications using edge AI. Finally, we evaluate a case study to test the possibility of performing an edge AI task in a wearable-based environment. Thus, in this work, we evaluate the system to achieve the desired task, the hardware resource and performance, and the network latency associated with each part of the process. Through this work, we validated both the design pattern review and case study. In the case study, the developed algorithms could classify diseased leaves with a circa 90% accuracy with the proposed technique in the field. This results can be reviewed in the laboratory with more modern models that reached up to 96% global accuracy. The system could also perform the desired tasks with a quality factor of 0.95, considering the usage of three devices. Finally, it detected a disease epicenter with an offset of circa 0.5 m in a 6 m × 6 m × 12 m space. These results enforce the usage of the proposed methods in the targeted environment and the proposed changes in the co-design pattern.

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Quantitative Analysis Of X-Ray Images From Geological Materials

Proceedings, annual meeting, Electron Microscopy Society of America ◽

10.1017/s042482010013482x ◽

1990 ◽

Vol 48 (2) ◽

pp. 244-245

Author(s):

J. M. Paque ◽

R. Browning ◽

P. L. King ◽

P. Pianetta

Keyword(s):

Quantitative Analysis ◽

Bulk Composition ◽

Principal Component ◽

Analytical Description ◽

Bulk Sample ◽

Geological Samples ◽

X Ray ◽

Software And Hardware ◽

And Storage ◽

Insight Into

Geological samples typically contain many minerals (phases) with multiple element compositions. A complete analytical description should give the number of phases present, the volume occupied by each phase in the bulk sample, the average and range of composition of each phase, and the bulk composition of the sample. A practical approach to providing such a complete description is from quantitative analysis of multi-elemental x-ray images.With the advances in recent years in the speed and storage capabilities of laboratory computers, large quantities of data can be efficiently manipulated. Commercial software and hardware presently available allow simultaneous collection of multiple x-ray images from a sample (up to 16 for the Kevex Delta system). Thus, high resolution x-ray images of the majority of the detectable elements in a sample can be collected. The use of statistical techniques, including principal component analysis (PCA), can provide insight into mineral phase composition and the distribution of minerals within a sample.

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A hitchhiker’s guide to microscopy and microanalysis using telecommunications, e-mail, and the Internet

Proceedings, annual meeting, Electron Microscopy Society of America ◽

10.1017/s0424820100169687 ◽

1994 ◽

Vol 52 ◽

pp. 390-391 ◽

Cited By ~ 1

Author(s):

Nestor J. Zaluzec

Keyword(s):

The Internet ◽

Information Superhighway ◽

The World ◽

Exchange Information ◽

On Line ◽

Computer Based ◽

Software And Hardware ◽

Communication Software ◽

Basic Ideas ◽

E Mail

The Information SuperHighway, Email, The Internet, FTP, BBS, Modems, : all buzz words which are becoming more and more routine in our daily life. Confusing terminology? Hopefully it won't be in a few minutes, all you need is to have a handle on a few basic concepts and terms and you will be on-line with the rest of the "telecommunication experts". These terms all refer to some type or aspect of tools associated with a range of computer-based communication software and hardware. They are in fact far less complex than the instruments we use on a day to day basis as microscopist's and microanalyst's. The key is for each of us to know what each is and how to make use of the wealth of information which they can make available to us for the asking. Basically all of these items relate to mechanisms and protocols by which we as scientists can easily exchange information rapidly and efficiently to colleagues in the office down the hall, or half-way around the world using computers and various communications media. The purpose of this tutorial/paper is to outline and demonstrate the basic ideas of some of the major information systems available to all of us today. For the sake of simplicity we will break this presentation down into two distinct (but as we shall see later connected) areas: telecommunications over conventional phone lines, and telecommunications by computer networks. Live tutorial/demonstrations of both procedures will be presented in the Computer Workshop/Software Exchange during the course of the meeting.

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