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Journal articles on the topic 'Large-scale infrastructures'

Author: Grafiati

Published: 25 May 2024

Last updated: 31 July 2025

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1

STOLERIU, Răzvan, Ionuț PETRE, and Florin POP. "Cybersecurity Governance in Large-scale Infrastructures." Revista Română de Informatică și Automatică 35, no. 1 (2025): 51–66. https://doi.org/10.33436/v35i1y202504.

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Vladyslav, Haina. "Reducing Deployment Time in Large-Scale Cloud Systems Through Automated DevOps Pipelines." American Journal of Engineering and Technology 07, no. 05 (2025): 178–84. https://doi.org/10.37547/tajet/volume07issue05-17.

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This article explores methods for reducing deployment time in large-scale cloud systems through the implementation of automated DevOps pipelines. The focus lies on integrating the principles of Continuous Integration (CI) and Continuous Delivery (CD), adopting Infrastructure as Code (IaC), leveraging containerization and orchestration tools, and incorporating AI-driven solutions to optimize deployment workflows. The theoretical foundations of DevOps and CI/CD are examined alongside empirical data derived from comparative analyses of manual and automated deployment processes. The study also off

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Lui, P. C., and T. S. Tan. "Building Integrated Large-Scale Urban Infrastructures: Singapore's Experience." Journal of Urban Technology 8, no. 1 (2001): 49–68. http://dx.doi.org/10.1080/10630730120052172.

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Marian, BABIK, FEDORKO Ivan, HOOK Nicholas, et al. "LEMON - LHC Era Monitoring for Large-Scale Infrastructures." Journal of Physics: Conference Series 331, no. 5 (2011): 052025. http://dx.doi.org/10.1088/1742-6596/331/5/052025.

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Filelis-Papadopoulos, Christos K., George A. Gravvanis, and Panagiotis E. Kyziropoulos. "A framework for simulating large scale cloud infrastructures." Future Generation Computer Systems 79 (February 2018): 703–14. http://dx.doi.org/10.1016/j.future.2017.06.017.

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Rammelt, Crelis. "Infrastructures as Catalysts: Precipitating Uneven Patterns of Development from Large-Scale Infrastructure Investments." Sustainability 10, no. 4 (2018): 1286. http://dx.doi.org/10.3390/su10041286.

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7

Nweke-Eze, Chigozie. "Infrastructures of Large-Scale Geothermal Energy Projects in Kenya: Materialization, Generativity, and Socio-Economic Development Linkages." Athens Journal of Sciences 11, no. 2 (2024): 125–50. http://dx.doi.org/10.30958/ajs.11-2-4.

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The linkages between infrastructures and socio-economic development have become increasingly complex and varied in transdisciplinary human science scholarship. In the Global South context in particular, these linkages entail unusual geographies of diffusion that defies many easy narratives. Using the case of geothermal energy projects in Kenya, this article explores the materialization and generativity of infrastructures in large-scale projects and their complex linkages to socio-economic development. In so doing, the paper shows how the delivery of ‘core’ infrastructure projects enable the pr

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Lan, Cheng Ming, and Wen Feng Liu. "Structural Health Monitoring Cloud and its Applications for Large-Scale Infrastructures." Applied Mechanics and Materials 330 (June 2013): 418–25. http://dx.doi.org/10.4028/www.scientific.net/amm.330.418.

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The concept and framework about Structural Health Monitoring Cloud (SHMC) for data management, data storage, safety warning and structural safety assessment are established in this paper based on the fusions of cloud computing, internet of things (IOT), and structural health monitoring (SHM). SHM plays a significant role in modern infrastructure because it provides a means to assess structural integrity online, eliminate manual inspections and may result in a transition from time-to condition-based maintenance. Also, there are many difficulties to deal with the huge amounts data for the owner

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Gehl, Robert, and Fenwick McKelvey. "Bugging out: darknets as parasites of large-scale media objects." Media, Culture & Society 41, no. 2 (2018): 219–35. http://dx.doi.org/10.1177/0163443718818379.

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Platforms and infrastructures have quickly become seminal concepts to understand large-scale computational systems. The difference between a platform and an infrastructure is subject to debate. In this article, we use the concept of the darknet to describe how infrastructure tends toward being public with other things where platforms tend to private relations. The darknet reveals these relations negatively, as we discuss, by turning these media objects into that which they desire not to be. We analyze these negative relations through the concept of the parasite developed by Michel Serres. By f

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Babik, Marian, Ivan Fedorko, and David Rodrigues. "Cluman: Advanced cluster management for the large-scale infrastructures." Journal of Physics: Conference Series 331, no. 5 (2011): 052002. http://dx.doi.org/10.1088/1742-6596/331/5/052002.

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Tan, Yongmin, Vinay Venkatesh, and Xiaohui Gu. "Resilient Self-Compressive Monitoring for Large-Scale Hosting Infrastructures." IEEE Transactions on Parallel and Distributed Systems 24, no. 3 (2013): 576–86. http://dx.doi.org/10.1109/tpds.2012.167.

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Nicolae, Bogdan, Gabriel Antoniu, Luc Bougé, Diana Moise, and Alexandra Carpen-Amarie. "BlobSeer: Next-generation data management for large scale infrastructures." Journal of Parallel and Distributed Computing 71, no. 2 (2011): 169–84. http://dx.doi.org/10.1016/j.jpdc.2010.08.004.

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Dutta, Kaushik, Debra VanderMeer, and Krithi Ramamritham. "Managing RFID events in large-scale distributed RFID infrastructures." Information Technology and Management 12, no. 3 (2011): 253–72. http://dx.doi.org/10.1007/s10799-011-0085-6.

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14

Florio, Massimo, and Emanuela Sirtori. "Social benefits and costs of large scale research infrastructures." Technological Forecasting and Social Change 112 (November 2016): 65–78. http://dx.doi.org/10.1016/j.techfore.2015.11.024.

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15

Bertagnoli, Gabriele, Marzia Malavisi, and Giuseppe Mancini. "Large Scale Monitoring System for Existing Structures and Infrastructures." IOP Conference Series: Materials Science and Engineering 603 (September 18, 2019): 052042. http://dx.doi.org/10.1088/1757-899x/603/5/052042.

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Cinque, Marcello, Catello Di Martino, and Christian Esposito. "On data dissemination for large-scale complex critical infrastructures." Computer Networks 56, no. 4 (2012): 1215–35. http://dx.doi.org/10.1016/j.comnet.2011.11.016.

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17

Löhr, Lukas, Raphael Houben, Carolin Guntermann, and Albert Moser. "Nested Decomposition Approach for Dispatch Optimization of Large-Scale, Integrated Electricity, Methane and Hydrogen Infrastructures." Energies 15, no. 8 (2022): 2716. http://dx.doi.org/10.3390/en15082716.

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Energy system integration enables raising operational synergies by coupling the energy infrastructures for electricity, methane, and hydrogen. However, this coupling reinforces the infrastructure interdependencies, increasing the need for integrated modeling of these infrastructures. To analyze the cost-efficient, sustainable, and secure dispatch of applied, large-scale energy infrastructures, an extensive and non-linear optimization problem needs to be solved. This paper introduces a nested decomposition approach with three stages. The method enables an integrated and full-year consideration

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18

Ulriksen, Gro-Hilde, Rune Pedersen, and Gunnar Ellingsen. "The Politics of Establishing ICT Governance for Large-Scale Healthcare Information Infrastructures." International Journal of Social and Organizational Dynamics in IT 6, no. 1 (2017): 48–61. http://dx.doi.org/10.4018/ijsodit.2017010104.

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In Norway, the focus on interoperability and communication across healthcare practices has increased the need to connect ICT portfolios at different levels of healthcare, into large-scale information infrastructures (II). Governing healthcare practices is exceptionally complex, due to the diverging goals and policies of the heterogeneous actors involved. Establish well-functioning ICT governance organizations to handle these large infrastructures is therefore important. Using information infrastructure theory, and governance literature from the IS field, this paper contributes with empirical i

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Filiol, Éric, and Cécilia Gallais. "Optimization of Operational Large-Scale (Cyber) Attacks by a Combinational Approach." International Journal of Cyber Warfare and Terrorism 7, no. 3 (2017): 29–43. http://dx.doi.org/10.4018/ijcwt.2017070103.

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Recent attacks against critical infrastructures have shown that it is possible to take down an entire infrastructure by targeting only a few of its components. To prevent or minimize the effects of this kind of attacks, it is necessary to identify these critical components whose disruption, damage or destruction can lead to the paralysis of an infrastructure. This paper shows that the identification of critical components can be made thanks to a particular pattern of the graph theory: the vertex cover. To illustrate how the vertex cover can be useful for the identification of critical componen

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Larsson, Anthony. "The Need for Research Infrastructures: A Narrative Review of Large-Scale Research Infrastructures in Biobanking." Biopreservation and Biobanking 15, no. 4 (2017): 375–83. http://dx.doi.org/10.1089/bio.2016.0103.

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21

Wright, Holly, and Julian D. Richards. "Reflections on Collaborative Archaeology and Large-Scale Online Research Infrastructures." Journal of Field Archaeology 43, sup1 (2018): S60—S67. http://dx.doi.org/10.1080/00934690.2018.1511960.

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22

Huang, Kun, and Dafang Zhang. "DHT-based lightweight broadcast algorithms in large-scale computing infrastructures." Future Generation Computer Systems 26, no. 3 (2010): 291–303. http://dx.doi.org/10.1016/j.future.2009.08.013.

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23

Fernández-Quiruelas, V., C. Blanco, A. S. Cofiño, and J. Fernández. "Large-scale climate simulations harnessing clusters, grid and cloud infrastructures." Future Generation Computer Systems 51 (October 2015): 36–44. http://dx.doi.org/10.1016/j.future.2015.04.009.

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24

LEFÈVRE, LAURENT, and ANNE-CECILE ORGERIE. "TOWARDS ENERGY AWARE RESERVATION INFRASTRUCTURE FOR LARGE-SCALE EXPERIMENTAL DISTRIBUTED SYSTEMS." Parallel Processing Letters 19, no. 03 (2009): 419–33. http://dx.doi.org/10.1142/s0129626409000316.

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While an extensive set of research projects deal with the issue of power-saving for battery-based electronic devices, few have an interest in permanently-plugged Large-Scale Experimental Distributed Systems (LSEDS). However, a rapid study shows that each computer, member of a distributed system platform, consumes a substantial quantity of power, especially when those resources are idle. Today, given the number of processing resources involved in large-scale computing infrastructures, we are convinced that we can save a lot of electric power by proposing and applying "green policies". Introduce

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Chen, Zhibiao, Chenlong Ma, and Chang Lin. "Revealing the Impact of Investment Benefits on Marketing Decision in Public Infrastructures Based on Game Theory: Case Study of Large-Scale Exhibition Infrastructures in China." Buildings 14, no. 3 (2024): 715. http://dx.doi.org/10.3390/buildings14030715.

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Investing in large-scale public infrastructures is vital for urban renewal and development, often relying on specific types of buildings to drive investment in municipal infrastructure and supporting service buildings. However, the complex interplay of interests among investors introduces unpredictability, hindering the effectiveness of such investments. This study employs evolutionary game theory to explore how investment benefits influence investor behavior. Using China’s large-scale exhibition infrastructures as a case study, a tripartite evolutionary game model is developed, involving the

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26

Das, Arghya Kusum, Praveen Kumar Koppa, Sayan Goswami, Richard Platania, and Seung-Jong Park. "Large-scale parallel genome assembler over cloud computing environment." Journal of Bioinformatics and Computational Biology 15, no. 03 (2017): 1740003. http://dx.doi.org/10.1142/s0219720017400030.

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The size of high throughput DNA sequencing data has already reached the terabyte scale. To manage this huge volume of data, many downstream sequencing applications started using locality-based computing over different cloud infrastructures to take advantage of elastic (pay as you go) resources at a lower cost. However, the locality-based programming model (e.g. MapReduce) is relatively new. Consequently, developing scalable data-intensive bioinformatics applications using this model and understanding the hardware environment that these applications require for good performance, both require fu

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Limongelli, M. P., M. Previtali, L. Cantini, et al. "LIFECYCLE MANAGEMENT, MONITORING AND ASSESSMENT FOR SAFE LARGE-SCALE INFRASTRUCTURES: CHALLENGES AND NEEDS." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLII-2/W11 (May 4, 2019): 727–34. http://dx.doi.org/10.5194/isprs-archives-xlii-2-w11-727-2019.

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<p><strong>Abstract.</strong> Many European infrastructures dating back to ’50 and ’60 of the last century like bridges and viaducts are approaching the end of their design lifetime. In most European countries costs related to maintenance of infrastructures reach a quite high percentage of the construction budget and additional costs in terms of traffic delay are due to downtime related to the inspection and maintenance interventions. In the last 30 years, the rate of deterioration of these infrastructures has increased due to increased traffic loads, climate change related e

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28

Ardagna, Danilo, Claudia Canali, and Riccardo Lancellotti. "Special Issue on Algorithms for the Resource Management of Large Scale Infrastructures." Algorithms 11, no. 12 (2018): 200. http://dx.doi.org/10.3390/a11120200.

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Modern distributed systems are becoming increasingly complex as virtualization is being applied at both the levels of computing and networking. Consequently, the resource management of this infrastructure requires innovative and efficient solutions. This issue is further exacerbated by the unpredictable workload of modern applications and the need to limit the global energy consumption. The purpose of this special issue is to present recent advances and emerging solutions to address the challenge of resource management in the context of modern large-scale infrastructures. We believe that the f

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29

Larsson, Anthony, Carl Savage, Mats Brommels, and Pauline Mattsson. "Structuring a research infrastructure: A study of the rise and fall of a large-scale distributed biobank facility." Social Science Information 57, no. 2 (2018): 196–222. http://dx.doi.org/10.1177/0539018418761848.

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This study analyses the perceived key interests, importance, influences and participation of different actors in harmonizing the processes and mechanisms of a distributed research infrastructure. It investigates the EU-funded initiative, BioBanking and Molecular Resource Infrastructure in Sweden (BBMRI.se), which seeks to harmonize the biobanking standards. The study interviews multiple actors involved throughout the development process. Their responses are analysed via a framework based on the IIED Stakeholder Power Analysis Tool. The BBMRI.se formation was facilitated by two parallel process

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Lavitrano, Marialuisa. "Enhance expertise in European research infrastructures." Open Access Government 42, no. 1 (2024): 24–225. http://dx.doi.org/10.56367/oag-042-11398.

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Enhance expertise in European research infrastructures Marialuisa Lavitrano, Full Professor at University Milano Bicocca, explores the need for a European School for the Management of Research Infrastructure to enhance expertise in European research infrastructure management. European Research Infrastructures (RI) are complex organisations that offer the research communities access to cutting-edge resources, data, and services to conduct research and foster innovation in their fields. RIs include major scientific equipment (or sets of instruments), knowledge-based resources such as collections

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Short, Hannah, David Kelsey, Romain Wartel, et al. "WISE Information Security for Collaborating e-Infrastructures." EPJ Web of Conferences 214 (2019): 03041. http://dx.doi.org/10.1051/epjconf/201921403041.

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As most are fully aware, cybersecurity attacks are an ever-growing problem as larger parts of our lives take place on-line. Distributed digital infrastructures are no exception and action must be taken to both reduce the security risk and tohandle security incidents when they inevitably happen. These activities are carried out by the various research infrastructures and it has become very clear in recent years that collaboration with others both helps to improve the security and to work more efficiently. The Wise Information Security for Collaborating e-Infrastructures (WISE) community provide

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32

Pacevicius, Michael Felix, Marilia Ramos, Davide Roverso, Christian Thun Eriksen, and Nicola Paltrinieri. "Managing Heterogeneous Datasets for Dynamic Risk Analysis of Large-Scale Infrastructures." Energies 15, no. 9 (2022): 3161. http://dx.doi.org/10.3390/en15093161.

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Risk assessment and management are some of the major tasks of urban power-grid management. The growing amount of data from, e.g., prediction systems, sensors, and satellites has enabled access to numerous datasets originating from a diversity of heterogeneous data sources. While these advancements are of great importance for more accurate and trustable risk analyses, there is no guidance on selecting the best information available for power-grid risk analysis. This paper addresses this gap on the basis of existing standards in risk assessment. The key contributions of this research are twofold

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Pacevicius, Michael Felix, Marilia Ramos, Davide Roverso, Christian Thun Eriksen, and Nicola Paltrinieri. "Managing Heterogeneous Datasets for Dynamic Risk Analysis of Large-Scale Infrastructures." Energies 15, no. 9 (2022): 3161. http://dx.doi.org/10.3390/en15093161.

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Risk assessment and management are some of the major tasks of urban power-grid management. The growing amount of data from, e.g., prediction systems, sensors, and satellites has enabled access to numerous datasets originating from a diversity of heterogeneous data sources. While these advancements are of great importance for more accurate and trustable risk analyses, there is no guidance on selecting the best information available for power-grid risk analysis. This paper addresses this gap on the basis of existing standards in risk assessment. The key contributions of this research are twofold

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34

Bollineni, Satyadeepak. "Case Studies on DevOps Adoption in Large-Scale Data Engineering Infrastructures." Journal of Artificial Intelligence, Machine Learning and Data Science 1, no. 2 (2023): 1223–29. http://dx.doi.org/10.51219/jaimld/satyadeepak-bollineni/283.

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35

Durrant, Daniel, and Tom Cohen. "An Infrastructural Pathway to Degrowth." Democratic Theory 11, no. 1 (2024): 92–115. http://dx.doi.org/10.3167/dt.2024.110105.

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Abstract We argue for consideration of deliberative democratic pathways to governing infrastructure systems to enable a planned reduction in economic activity. Given the dominant perspective is “infrastructure facilitates growth”, we first consider contemporary criticisms of growth. We critique the large-scale, complex infrastructures implied, and the forms of democratic governance envisaged. Such infrastructures drive forms of economic activity that advocates of degrowth demonstrate are incompatible with attempts to reduce resources consumed by contemporary economies and their emissions. We a

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36

Prasanth Kosaraju. "Advancements in Network Infrastructure for Large-Scale Educational and Industrial Systems." International Journal of Scientific Research in Computer Science, Engineering and Information Technology 11, no. 3 (2025): 774–89. https://doi.org/10.32628/cseit25113340.

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This article examines the evolution of network infrastructures supporting large-scale educational and industrial environments facing increasing demands for reliability, performance, and security. Through a comprehensive analysis of standardized architectures, hybrid cloud integrations, and advanced monitoring frameworks, the article explores how modern network designs address complex operational challenges. Standardized approaches incorporating stakeholder feedback and systems thinking methodologies enable consistent deployments across distributed environments while maintaining flexibility for

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37

Tostões, Ana, and Zara Ferreira. "The European Large Scale Heritage." Housing Reloaded, no. 54 (2016): 2–3. http://dx.doi.org/10.52200/54.a.90ofk4nm.

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Post-War Housing Complexes in Europe are symbols of architectural, technological and social aspirations. These grands ensembles of Mass Housing have nowadays begun to be appreciated by users and authorities, as integral part of the current city. Whether discussing demolition (as faced by the Smithsons' Robin Hood Gardens and Toulouse's Le Mirail, and commonly seen as a focus for social marginalization), or the growing phenomenon of heritagization (as implicit in the type of person now using the Marseille Unité d’Habitation), the debate today has mainly become centered on the question of: how t

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Nicola, Mihaylov. "Best Practices and Lessons Learned from the Project 15.3.1.017 „Risk Management for Large Scale Infrastructures in the Romanian-Bulgarian CrossBorder Area“." Scientific Bulletin of Naval Academy XIX, no. 1 (2018): 550–54. http://dx.doi.org/10.21279/1454-864x-18-i1-082.

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The paper presents the main results from the implementation of the project 15.3.1.017 „Risk Management for Large Scale Infrastructures in the Romanian-Bulgarian Cross-Border Area“, financed by the European Regional Development Fund (ERDF) and the Programme Interreg V-A Romania – Bulgaria. The project includes a study of the main infrastructure objects from the chemical industry, energy and transport infrastructures. Documents have been developed in order to raise the awareness of the population in the crossborder region. The knowledge of the trainees has been assessed in respect to risk manage

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Sultan, Shizra, and Christian D. Jensen. "Ensuring Purpose Limitation in Large-Scale Infrastructures with Provenance-Enabled Access Control." Sensors 21, no. 9 (2021): 3041. http://dx.doi.org/10.3390/s21093041.

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The amount of data generated in today’s world has a fair share of personal information about individuals that helps data owners and data processors in providing them with personalized services. Different legal and regulatory obligations apply to all data owners collecting personal information, specifying they use it only for the agreed-upon purposes and in a transparent way to preserve privacy. However, it is difficult to achieve this in large-scale and distributed infrastructures as data is continuously changing its form, such as through aggregation with other sources or the generation of new

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Li, Hong-Nan, and Ting-Hua Yi. "Guest Editorial: Applications of Integrated Monitoring System for Large-Scale Civil Infrastructures." International Journal of Structural Stability and Dynamics 16, no. 04 (2016): 1602002. http://dx.doi.org/10.1142/s0219455416020028.

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D’Ippolito, Beatrice, and Charles-Clemens Rüling. "Research collaboration in Large Scale Research Infrastructures: Collaboration types and policy implications." Research Policy 48, no. 5 (2019): 1282–96. http://dx.doi.org/10.1016/j.respol.2019.01.011.

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López, G., J. I. Moreno, H. Amarís, and F. Salazar. "Paving the road toward Smart Grids through large-scale advanced metering infrastructures." Electric Power Systems Research 120 (March 2015): 194–205. http://dx.doi.org/10.1016/j.epsr.2014.05.006.

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Zasada, Stefan J., David C. W. Chang, Ali N. Haidar, and Peter V. Coveney. "Flexible composition and execution of large scale applications on distributed e-infrastructures." Journal of Computational Science 5, no. 1 (2014): 51–62. http://dx.doi.org/10.1016/j.jocs.2013.10.009.

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León, Xavier, Tuan Anh Trinh, and Leandro Navarro. "Using economic regulation to prevent resource congestion in large-scale shared infrastructures." Future Generation Computer Systems 26, no. 4 (2010): 599–607. http://dx.doi.org/10.1016/j.future.2009.11.004.

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Amin, S. Massoud, and Barry M. Horowitz. "Toward Agile and Resilient Large-Scale Systems: Adaptive Robust National/International Infrastructures." Global Journal of Flexible Systems Management 9, no. 1 (2008): 27–39. http://dx.doi.org/10.1007/bf03396536.

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46

Rodríguez-Antuñano, Ignacio, Joaquín Martínez-Sánchez, Manuel Cabaleiro, and Belén Riveiro. "Anticipating the Collapse of Urban Infrastructure: A Methodology Based on Earth Observation and MT-InSAR." Remote Sensing 15, no. 15 (2023): 3867. http://dx.doi.org/10.3390/rs15153867.

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Large-scale infrastructure monitoring and vulnerability assessment are crucial for the preservation and maintenance of built environments. To ensure the safety of urban infrastructure against natural and man-made disasters, constant monitoring is crucial. To do so, satellite Earth observation (EO) is being proposed, particularly radar-based imaging, because it allows large-scale constant monitoring since radar signals are not blocked by clouds and can be collected during both day and night. The proposed methodology for large-scale infrastructure monitoring and vulnerability assessment is based

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Mohankumar A., Gowtham R., Elango K., and Ajay S. "Wireless Smart Lighting System: A Cost-Effective Approach to Energy Saving with Centralized Control for Large-Scale Campus Infrastructure." Asian Journal of Applied Science and Technology 08, no. 03 (2024): 182–95. http://dx.doi.org/10.38177/ajast.2024.8318.

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In order to improve lighting management throughout a campus infrastructure, operational flexibility, and energy efficiency, this study suggests a wireless smart lighting system with centralized control. The system combines wireless sensors, LED illumination, and a central control unit to manage lighting according to occupancy, the time of day, and environmental factors. Significant energy savings are possible since the system may be remotely monitored and optimized through the use of a wireless communication protocol. Phases of the implementation included installing sensors and LEDs, setting u

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48

Pourmirza, Zoya, Seyed Hamid Reza Hosseini, Sara Walker, Damian Giaouris, and Philip Taylor. "The Landscape and Roadmap of the Research and Innovation Infrastructures in Energy: A Review of the Case Study of the UK." Sustainability 14, no. 12 (2022): 7197. http://dx.doi.org/10.3390/su14127197.

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Research and development are critical for driving economic growth. To realise the UK government’s Industrial Strategy, we develop an energy research and innovation infrastructure roadmap and landscape for the energy sector looking to the long term (2030). This study is based on a picture of existing UK infrastructure on energy. It shows the links between the energy sector and other sectors, the distribution of energy research and innovation infrastructures, the age of these infrastructures, where most of the energy research and innovation infrastructures are hosted, and the distribution of ene

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Vega, Carlos, Paula Roquero, Rafael Leira, Ivan Gonzalez, and Javier Aracil. "Loginson: a transform and load system for very large-scale log analysis in large IT infrastructures." Journal of Supercomputing 73, no. 9 (2017): 3879–900. http://dx.doi.org/10.1007/s11227-017-1990-1.

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NEOCLEOUS, KYRIAKOS, MARIOS D. DIKAIAKOS, PARASKEVI FRAGOPOULOU, and EVANGELOS P. MARKATOS. "FAILURE MANAGEMENT IN GRIDS: THE CASE OF THE EGEE INFRASTRUCTURE." Parallel Processing Letters 17, no. 04 (2007): 391–410. http://dx.doi.org/10.1142/s0129626407003113.

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The emergence of Grid infrastructures like EGEE has enabled the deployment of large-scale computational experiments that address challenging scientific problems in various fields. However, to realize their full potential, Grid infrastructures need to achieve a higher degree of dependability, i.e., they need to improve the ratio of Grid-job requests that complete successfully in the presence of Grid-component failures. To achieve this, however, we need to determine, analyze and classify the causes of job failures on Grids. In this paper we study the reasons behind Grid job failures in the conte

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