scholarly journals TOOLS FOR BIOMEDICAL DATA ARCHIVING IN UKRAINIAN GRID INFRASTRUCTURE

2014 ◽  
pp. 308-315
Author(s):  
Oleksandr Sudakov ◽  
Andrii Salnikov ◽  
Ievgen Sliusar ◽  
Oleksandr Boretskyi

Tools for archiving and extraction of data in Ukrainian National Grid for end-users’ applications are proposed, implemented and deployed for practical applications in medical imaging, non-linear dynamics, and molecular biology. Proposed tools provide the facilities to utilize large distributed storage space in grid infrastructures for different practical tasks including desktop applications. Tools may be successfully used even when on client platforms it is impossible to setup grid middleware, use web browser interfaces or grid security infrastructure authentication. Tools consist of extensible client compatible with different software and hardware platforms; web service for data transfer; web service for transparent data replication on grid storage elements.

2010 ◽  
Vol 1 (1) ◽  
pp. 76-97
Author(s):  
Francesco Tusa ◽  
Massimo Villari ◽  
Antonio Puliafito

This article describes new security solutions for Grid middleware, and specifically faces the issues related to the management of users’ and servers’ credentials, together with storing and secure data transmission in the Grid. Our work, built on Grid Security Infrastructure (GSI), provides new capabilities (i.e. smart card Grid access, and strong security file storage XML-based) to be used on top of different Grid middlewares, with a low level of changes. This work is currently implemented on gLite and accomplishes the access to Grid resources in a uniform and transparent way. These improvements enable the Grid computing toward the new processing model known as business services.


2012 ◽  
pp. 956-978
Author(s):  
Francesco Tusa ◽  
Massimo Villari ◽  
Antonio Puliafito

This article describes new security solutions for Grid middleware, and specifically faces the issues related to the management of users’ and servers’ credentials, together with storing and secure data transmission in the Grid. Our work, built on Grid Security Infrastructure (GSI), provides new capabilities (i.e. smart card Grid access, and strong security file storage XML-based) to be used on top of different Grid middlewares, with a low level of changes. This work is currently implemented on gLite and accomplishes the access to Grid resources in a uniform and transparent way. These improvements enable the Grid computing toward the new processing model known as business services.


2019 ◽  
Vol 214 ◽  
pp. 04045
Author(s):  
Brian Bockelman ◽  
Andrew Hanushevsky ◽  
Oliver Keeble ◽  
Mario Lassnig ◽  
Paul Millar ◽  
...  

GridFTP transfers and the corresponding Grid Security Infrastructure (GSI)-based authentication and authorization system have been data transfer pillars of the Worldwide LHC Computing Grid (WLCG) for more than a decade. However, in 2017, the end of support for the Globus Toolkit - the reference platform for these technologies - was announced. This has reinvigorated and expanded efforts to replace these pillars. We present an end-to-end alternate utilizing HTTP-based WebDAV as the transfer protocol, and bearer tokens for distributed authorization. This alternate ecosystem, integrating significant pre-existing work and ideas in the area, adheres to common industry standards to the fullest extent possible, with minimal agreed-upon extensions or common interpretations of the core protocols. The bearer token approach allows resource providers to delegate authorization decisions to the LHC experiments for experiment-dedicated storage areas. This demonstration touches the entirety of the stack - from multiple storage element implementations to FTS3 to the Rucio data management system. We show how the traditional production and user workflows can be reworked utilizing bearer tokens, eliminating the need for GSI proxy certificates for storage interactions.


Author(s):  
Francesco Tusa ◽  
Massimo Villari ◽  
Antonio Puliafito

This article describes new security solutions for Grid middleware, and specifically faces the issues related to the management of users’ and servers’ credentials, together with storing and secure data transmission in the Grid. Our work, built on Grid Security Infrastructure (GSI), provides new capabilities (i.e. smart card Grid access, and strong security file storage XML-based) to be used on top of different Grid middlewares, with a low level of changes. This work is currently implemented on gLite and accomplishes the access to Grid resources in a uniform and transparent way. These improvements enable the Grid computing toward the new processing model known as business services.


Author(s):  
E. G. Ayodele ◽  
C. J. Okolie ◽  
O. A. Mayaki

The Nigerian Geodetic Reference Frame is defined by a number of Continuously Operating Reference Stations (CORS) that constitute the Nigerian GNSS Network (NIGNET). NIGNET is essential for planning and national development with the main goal of ensuring consistency in the geodetic framework both nationally and internationally. Currently, the strength of the network in terms of data reliability has not been adequately studied due to the fact that research into CORS in Nigeria is just evolving, which constitutes a limitation in its applications. Therefore, the aim of this research is to explore the reliability of the 3-dimensional coordinates of NIGNET to inform usability and adequacy for both scientific and practical applications. In particular, this study examines if the 3-dimensional coordinates of NIGNET are equally reliable in terms of positional accuracy. Accordingly, this study utilised GNSS data collected over a period of six years (2011 – 2016) from the network to compute the daily geocentric coordinates of the stations. Exploratory and statistical data analysis techniques were used to understand the magnitude of the errors and the accuracy level in the 3-dimensional coordinates. For this purpose, accuracy metrics such as standard deviation (𝜎), standard error (𝑆𝐸) and root mean square error (RMSE) were computed. While One-way ANOVA was conducted to explore the coordinate differences. The results obtained showed that SE and RMSE ranged from 13.00 − 56.50𝑚𝑚 and 14.38 − 73.16𝑚𝑚 respectively, which signifies high accuracy. Overall, while 88% of the network showed a high level of positional accuracy, the reliability has been compromised due to excessive gaps in the data archiving. Therefore, due attention must be given to NIGNET to achieve its purpose in the provision of accurate information for various geospatial applications. Also, any efforts directed at understanding the practical implications of NIGNET must be well-embraced for the realization of its set objectives.


Author(s):  
Mengyun Yang ◽  
Gaoyan Wu ◽  
Qichang Zhao ◽  
Yaohang Li ◽  
Jianxin Wang

Abstract With the development of high-throughput technology and the accumulation of biomedical data, the prior information of biological entity can be calculated from different aspects. Specifically, drug–drug similarities can be measured from target profiles, drug–drug interaction and side effects. Similarly, different methods and data sources to calculate disease ontology can result in multiple measures of pairwise disease similarities. Therefore, in computational drug repositioning, developing a dynamic method to optimize the fusion process of multiple similarities is a crucial and challenging task. In this study, we propose a multi-similarities bilinear matrix factorization (MSBMF) method to predict promising drug-associated indications for existing and novel drugs. Instead of fusing multiple similarities into a single similarity matrix, we concatenate these similarity matrices of drug and disease, respectively. Applying matrix factorization methods, we decompose the drug–disease association matrix into a drug-feature matrix and a disease-feature matrix. At the same time, using these feature matrices as basis, we extract effective latent features representing the drug and disease similarity matrices to infer missing drug–disease associations. Moreover, these two factored matrices are constrained by non-negative factorization to ensure that the completed drug–disease association matrix is biologically interpretable. In addition, we numerically solve the MSBMF model by an efficient alternating direction method of multipliers algorithm. The computational experiment results show that MSBMF obtains higher prediction accuracy than the state-of-the-art drug repositioning methods in cross-validation experiments. Case studies also demonstrate the effectiveness of our proposed method in practical applications. Availability: The data and code of MSBMF are freely available at https://github.com/BioinformaticsCSU/MSBMF. Corresponding author: Jianxin Wang, School of Computer Science and Engineering, Central South University, Changsha, Hunan 410083, P. R. China. E-mail: [email protected] Supplementary Data: Supplementary data are available online at https://academic.oup.com/bib.


2008 ◽  
pp. 206-227
Author(s):  
Konstantin Beznosov

This chapter reports on our experience of designing and implementing an architecture for protecting enterprise-grade Web service applications hosted by ASP.NET. Security mechanisms of Microsoft ASP.NET container—a popular hosting environment for Web services—have limited scalability, flexibility, and extensibility. They are therefore inade-quate for hosting enterprise-scale applications that need to be protected according to diverse and/or complex application-specific security policies. To overcome the limitations of ASP.NET security, we developed a flexible and extensible protection architecture. Deployed in a real-world security solution at a financial organization, the architecture enables integra-tion of ASP.NET into the organizational security infrastructure with reduced effort on the part of Web Service developers. Throughout this report, we discuss our design decisions, suggest best practices for constructing flexible and extensible authentication and authoriza-tion logic for Web Services, and share lessons learned.


2020 ◽  
Author(s):  
Yufu Liu ◽  
Zhehao Ren ◽  
Karen K.Y. Chan ◽  
Yuqi Bai

<p>The World Climate Research Programme (WCRP) facilitates analysis and prediction of Earth system change for use in a range of practical applications of direct relevance, benefit and value to society. WCRP initialized the Coupled Model Intercomparison Project (CMIP) in 1995. The aim of CMIP is to better understand past, present and future climate changes arising from natural, unforced variability or in response to changes in radiative forcing in a multi-model context.</p><p>The climate model output data that are being produced during this sixth phase of CMIP (CMIP6) is expected to be 40~60 PB. It is still not very clear whether researchers worldwide may experience a big problem when downloading such a huge volume of data. This work addressed this issue by performing data download speed test for all the CMIP6 data nodes.</p><p>A Google Chrome-based data download speed test website (http://speedtest.theropod.tk) was implemented. It leverages the Allow CORS: Access-Control-Allow-Origin extension to access to each CMIP6 data node. This test consists of four steps: Installing and enabling Allow CORS extension in Chrome, performing data download speed test for all the CMIP6 data nodes, presenting the test results, and uninstalling the extension. The speed test is performed by downloading a certain chunk of model output data file from the thredds data server of each data node.</p><p>Researchers from 11 countries have performed this test in 24 cities against all the 26 CMIP6 data nodes. The fastest transfer speed was 124MB/s, and the slowest were 0 MB/s because of connect timeout. Data transfer speed in developed countries (United States, Netherland, Japan, Canada, Great Britain) is significantly faster than that in developing countries (China, India, Russia, Pakistan). In developed countries the data transfer mean speed is roughly 80Mb/s, equal to the median US residential broadband speed provided by cable or fiber(FCC Measuring Fixed Broadband - Eighth Report, but in developing countries the mean transfer speed is usually much slower, roughly 9Mb/s. Data transfer speed was significantly faster when the data nodes and test sites were both at developed countries, for example, downloading data from IPSL, DKRZ or GFDL at Wolvercote, UK.</p><p>Although further test are definitely needed, this preliminary result clearly show that the actual data download speed varies dramatically in different countries, and for different data node. This suggests that ensuring smooth access to CMIP6 data is still challenging.</p>


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