Academic literature on the topic 'Data storage and transfer management'

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Journal articles on the topic "Data storage and transfer management"

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Liu, Zhengchun, Rajkumar Kettimuthu, Joaquin Chung, Rachana Ananthakrishnan, Michael Link, and Ian Foster. "Design and Evaluation of a Simple Data Interface for Efficient Data Transfer across Diverse Storage." ACM Transactions on Modeling and Performance Evaluation of Computing Systems 6, no. 1 (2021): 1–25. http://dx.doi.org/10.1145/3452007.

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Modern science and engineering computing environments often feature storage systems of different types, from parallel file systems in high-performance computing centers to object stores operated by cloud providers. To enable easy, reliable, secure, and performant data exchange among these different systems, we propose Connector, a plug-able data access architecture for diverse, distributed storage. By abstracting low-level storage system details, this abstraction permits a managed data transfer service (Globus, in our case) to interact with a large and easily extended set of storage systems. E
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Bockelman, Brian, Andrew Hanushevsky, Oliver Keeble, et al. "Bootstrapping a New LHC Data Transfer Ecosystem." EPJ Web of Conferences 214 (2019): 04045. http://dx.doi.org/10.1051/epjconf/201921404045.

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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 significa
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Abreu, Yamiel, Daniela Bauer, Simon Fayer, and Janusz Martyniak. "Data management for the SoLid experiment." EPJ Web of Conferences 214 (2019): 04040. http://dx.doi.org/10.1051/epjconf/201921404040.

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The SoLid experiment is a short-baseline neutrino project located at the BR2 research reactor in Mol, Belgium. It started data taking in November 2017. Data management, including long term storage will be handled in close collaboration by Vrije Universiteit Brussels, Imperial College London and Rutherford Appleton Laboratory. We describe the SoLid data management model with an emphasis on the software developed for the file distribution on the Grid, the data archiving and the initial data transfer from the experiment to a Grid storage element. We present results from the first six months of da
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Ismagilova, Olga, and Karine Khadzhi. "Global Experience in Regulating Data Protection, Transfer and Storage." Economic Policy 15, no. 3 (2020): 152–75. http://dx.doi.org/10.18288/1994-5124-2020-3-152-175.

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Cross-border data flows management and privacy protection are placed high in the international digital agenda due to unprecedented growth in the volume and pace of data collection, processing, storage and transfer globally. Despite the high importance of data flows regulation and its serious influence on all enterprises involved in digital economy, there is little research conducted in Russia and systemizing the national strategies in this sphere of regulation. The article provides an overview of the existing approaches of different countries to data protection, transfer (cross-border included
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Veseli, Siniša, Nicholas Schwarz, and Collin Schmitz. "APS Data Management System." Journal of Synchrotron Radiation 25, no. 5 (2018): 1574–80. http://dx.doi.org/10.1107/s1600577518010056.

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As the capabilities of modern X-ray detectors and acquisition technologies increase, so do the data rates and volumes produced at synchrotron beamlines. This brings into focus a number of challenges related to managing data at such facilities, including data transfer, near real-time data processing, automated processing pipelines, data storage, handling metadata and remote user access to data. The Advanced Photon Source Data Management System software is designed to help beamlines deal with these issues. This paper presents the system architecture and describes its components and functionality
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Celesti, Antonio, Antonino Galletta, Maria Fazio, and Massimo Villari. "Towards Hybrid Multi-Cloud Storage Systems: Understanding How to Perform Data Transfer." Big Data Research 16 (July 2019): 1–17. http://dx.doi.org/10.1016/j.bdr.2019.02.002.

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Moradi, Ramin, and Katrina Groth. "On the application of transfer learning in prognostics and health management." Annual Conference of the PHM Society 12, no. 1 (2020): 8. http://dx.doi.org/10.36001/phmconf.2020.v12i1.1300.

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Advancements in sensing and computing technologies, the development of human and computer interaction frameworks, big data storage capabilities, and the emergence of cloud storage and could computing have resulted in an abundance of data in modern industry. This data availability has encouraged researchers and industry practitioners to rely on data-based machine learning, specially deep learning, models for fault diagnostics and prognostics more than ever. These models provide unique advantages, however their performance is heavily dependent on the training data and how well that data represen
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Ali, Tariq Emad, Ameer Hussein Morad, and Mohammed A. Abdala. "Traffic management inside software-defined data centre networking." Bulletin of Electrical Engineering and Informatics 9, no. 5 (2020): 2045–54. http://dx.doi.org/10.11591/eei.v9i5.1928.

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In recent years, data centre (DC) networks have improved their rapid exchanging abilities. Software-defined networking (SDN) is presented to alternate the impression of conventional networks by segregating the control plane from the SDN data plane. The SDN presented overcomes the limitations of traditional DC networks caused by the rapidly incrementing amounts of apps, websites, data storage needs, etc. Software-defined networking data centres (SDN-DC), based on the open-flow (OF) protocol, are used to achieve superior behaviour for executing traffic load-balancing (LB) jobs. The LB function d
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Lewis, Stuart, Lorraine Beard, Mary McDerby, Robin Taylor, Thomas Higgins, and Claire Knowles. "Developing a Data Vault." International Journal of Digital Curation 11, no. 1 (2016): 86–95. http://dx.doi.org/10.2218/ijdc.v11i1.406.

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Research data is being generated at an ever-increasing rate. This brings challenges in how to store, analyse, and care for the data. A component of this problem is the stewardship of data and associated files that need a safe and secure home for the medium to long-term. As part of typical suites of Research Data Management services, researchers are provided with large allocations of ‘active data storage’. This is often stored on expensive and fast disks to enable efficient transfer and working with large amounts of data. However, over time this active data store fills up, and researchers need
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Zhang, Qi, Zhi Jing Zhang, and Xin Jin. "The Research on Hydraulic Components Data Monitoring and Management System Based on Network Real-Time Monitoring." Applied Mechanics and Materials 457-458 (October 2013): 745–50. http://dx.doi.org/10.4028/www.scientific.net/amm.457-458.745.

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in order to improve the speed and accuracy of monitoring data of hydraulic components,improve the method and efficiency of data storage management, hydraulic components data monitoring and management system based on network real-time monitoring were researched.system uses the ADLINK PCI-9114 data acquisition card collecting signal the sensor transferring,then transfer the signal to the computer on the scene.Temperature,pressure,flow and other signal data acquisition,data analysis,data storage and alarm functions were realized through the LabVIEW software.The system also achieved real-time remo
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Dissertations / Theses on the topic "Data storage and transfer management"

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Gkikas, Nikolaos. "Data Transfer and Management through the IKAROS framework : Adopting an asynchronous non-blocking event driven approach to implement the Elastic-Transfer's IMAP client-server connection." Thesis, KTH, Radio Systems Laboratory (RS Lab), 2015. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-166740.

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Given the current state of input/output (I/O) and storage devices in petascale systems, incremental solutions would be ineffective when implemented in exascale environments. According to the "The International Exascale Software Roadmap", by Dongarra, et al. existing I/O architectures are not sufficiently scalable, especially because current shared file systems have limitations when used in large-scale environments. These limitations are: Bandwidth does not scale economically to large-scale systems, I/O traffic on the high speed network can impact on and be influenced by other unrelated jobs, a
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Xu, Yiqi. "Storage Management of Data-intensive Computing Systems." FIU Digital Commons, 2016. http://digitalcommons.fiu.edu/etd/2474.

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Computing systems are becoming increasingly data-intensive because of the explosion of data and the needs for processing the data, and storage management is critical to application performance in such data-intensive computing systems. However, existing resource management frameworks in these systems lack the support for storage management, which causes unpredictable performance degradations when applications are under I/O contention. Storage management of data-intensive systems is a challenging problem because I/O resources cannot be easily partitioned and distributed storage systems require s
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Wadhwa, Bharti. "Scalable Data Management for Object-based Storage Systems." Diss., Virginia Tech, 2020. http://hdl.handle.net/10919/99791.

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Parallel I/O performance is crucial to sustain scientific applications on large-scale High-Performance Computing (HPC) systems. Large scale distributed storage systems, in particular the object-based storage systems, face severe challenges for managing the data efficiently. Inefficient data management leads to poor I/O and storage performance in HPC applications and scientific workflows. Some of the main challenges for efficient data management arise from poor resource allocation, load imbalance in object storage targets, and inflexible data sharing between applications
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Folmer, Brennan Thomas. "Metadata storage for file management systems data storage and representation techniques for a file management system /." [Gainesville, Fla.] : University of Florida, 2002. http://purl.fcla.edu/fcla/etd/UFE1001141.

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Garling, James, and David Cahill. "ENTERPRISE DATA MANAGEMENT SYSTEMS." International Foundation for Telemetering, 2003. http://hdl.handle.net/10150/605813.

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International Telemetering Conference Proceedings / October 20-23, 2003 / Riviera Hotel and Convention Center, Las Vegas, Nevada<br>This paper discusses ongoing regulatory effects on efforts aimed at developing data infrastructures that assist test engineers in achieving information superiority and for maintaining their information, and on possible architectural frameworks for resolving the engineer’s need versus the regulatory requirements. Since current commercial-off-the-shelf (COTS) Enterprise Content Management (ECM) systems are targeted primarily at business environments such as back off
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Lund, Jonathan Gary. "The Storage of Parametric Data in Product Lifecycle Management Systems." Diss., CLICK HERE for online access, 2006. http://contentdm.lib.byu.edu/ETD/image/etd1257.pdf.

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Huml, Kathy Pederson. "Intelligent Data Object Management System (IDOMS)." Thesis, Kansas State University, 1986. http://hdl.handle.net/2097/9918.

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Nicolae, Bogdan. "BlobSeer : towards efficient data storage management for large-scale, distributed systems." Phd thesis, Université Rennes 1, 2010. http://tel.archives-ouvertes.fr/tel-00552271.

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With data volumes increasing at a high rate and the emergence of highly scalable infrastructures (cloud computing, petascale computing), distributed management of data becomes a crucial issue that faces many challenges. This thesis brings several contributions in order to address such challenges. First, it proposes a set of principles for designing highly scalable distributed storage systems that are optimized for heavy data access concurrency. In particular, it highlights the potentially large benefits of using versioning in this context. Second, based on these principles, it introduces a ser
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Gu, Peng. "METADATA AND DATA MANAGEMENT IN HIGH PERFORMANCE FILE AND STORAGE SYSTEMS." Doctoral diss., University of Central Florida, 2008. http://digital.library.ucf.edu/cdm/ref/collection/ETD/id/2155.

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With the advent of emerging "e-Science" applications, today's scientific research increasingly relies on petascale-and-beyond computing over large data sets of the same magnitude. While the computational power of supercomputers has recently entered the era of petascale, the performance of their storage system is far lagged behind by many orders of magnitude. This places an imperative demand on revolutionizing their underlying I/O systems, on which the management of both metadata and data is deemed to have significant performance implications. Prefetching/caching and data locality awareness opt
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Crenwelge, Robert, Brian Conway, and Kevin Dillon. "ENTERPRISE FLIGHT DATA MANAGEMENT SYSTEM (EFDMS) AND STORAGE INFRASTRUCTURE TECHNOLOGY DISCUSSION." International Foundation for Telemetering, 2002. http://hdl.handle.net/10150/607565.

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International Telemetering Conference Proceedings / October 21, 2002 / Town & Country Hotel and Conference Center, San Diego, California<br>This paper presents efforts in developing a data management system and storage infrastructure for assisting test engineers in achieving information superiority and maintaining vital up-to-date information. The focus of this Paper is to generate support for a technology refresh, upgrading the major data centers that share in the responsibility of processing telemetry information. We illustrate how our efforts fit into this goal and provide an overview of ou
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Books on the topic "Data storage and transfer management"

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Knowledge discovery, transfer, and management in the information age. Information Science Reference, 2014.

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Land registration and cadastral systems: Tools for land information and management. Longman Scientific and Technical, 1991.

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Scriba, Albrecht, and Volker Herminghaus. Storage Management in Data Centers. Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-540-85023-6.

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Storage virtualization: Technologies for simplifying data storage and management. Addison-Wesley, 2005.

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Grigor'ev, Anatoliy, Evgeniy Isaev, and Pavel Tarasov. Transfer, storage and processing of large volumes of scientific data. INFRA-M Academic Publishing LLC., 2021. http://dx.doi.org/10.12737/1073525.

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The textbook examines large scientific projects and the amount of data generated by them, and provides an overview of scientific computer networks that allow high-speed transmission of large amounts of data for these projects. The article considers the computing systems offered by the leading manufacturers of computer equipment for processing large amounts of data and providing both the possibilities of storing large amounts of data, including distributed data, and the means of analytics and parallel data processing in real time. Special attention is paid to the security of the transmitted sci
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New York (State). Governor's Task Force on Filing and Recording. Public records: Vision 2000 : a project of the Governor's Task Force to improve local government filing and recording practices in New York State: report of the Governor's Task Force on Filing and Recording : land information. The Task Force, 1993.

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Brooks, Charlotte. Disaster recovery strategies with Tivoli Storage management. IBM Corp., 2002.

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Master data management. Elsevier/Morgan Kaufmann, 2008.

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O'Connor, John T. Analytical data-management systems. U.S. Dept. of the Interior, U.S. Geological Survey, 1994.

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T, O'Connor John. Analytical data-management systems. U.S. Dept. of the Interior, U.S. Geological Survey, 1994.

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Book chapters on the topic "Data storage and transfer management"

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Catthoor, Francky, Sven Wuytack, Eddy De Greef, Florin Balasa, Lode Nachtergaele, and Arnout Vandecappelle. "Data Transfer and Storage Exploration Methodology." In Custom Memory Management Methodology. Springer US, 1998. http://dx.doi.org/10.1007/978-1-4757-2849-1_3.

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Catthoor, Francky, Sven Wuytack, Eddy De Greef, Florin Balasa, Lode Nachtergaele, and Arnout Vandecappelle. "Polyhedral Data-Flow Analysis for Data Storage and Transfer Exploration." In Custom Memory Management Methodology. Springer US, 1998. http://dx.doi.org/10.1007/978-1-4757-2849-1_6.

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Catthoor, Francky, Sven Wuytack, Eddy De Greef, Florin Balasa, Lode Nachtergaele, and Arnout Vandecappelle. "Related Work on Data Transfer and Storage Management." In Custom Memory Management Methodology. Springer US, 1998. http://dx.doi.org/10.1007/978-1-4757-2849-1_2.

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Catthoor, Francky, Koen Danckaert, Chidamber Kulkarni, et al. "Data Transfer and Storage Exploration in Programmable Architectures." In Data Access and Storage Management for Embedded Programmable Processors. Springer US, 2002. http://dx.doi.org/10.1007/978-1-4757-4903-8_1.

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Catthoor, Francky, Koen Danckaert, Chidamber Kulkarni, et al. "Related Compiler Work on Data Transfer and Storage Management." In Data Access and Storage Management for Embedded Programmable Processors. Springer US, 2002. http://dx.doi.org/10.1007/978-1-4757-4903-8_2.

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Catthoor, Francky, Sven Wuytack, Eddy De Greef, Florin Balasa, Lode Nachtergaele, and Arnout Vandecappelle. "Optimisation of Global Data Transfer and Storage Organisation for Decreased Power and Area in Custom Data-Dominated Real-Time Systems." In Custom Memory Management Methodology. Springer US, 1998. http://dx.doi.org/10.1007/978-1-4757-2849-1_1.

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Baclit, Ryan, Chivas Sicam, Peter Membrey, and John Newbigin. "Data Storage Management." In Foundations of CentOS Linux. Apress, 2009. http://dx.doi.org/10.1007/978-1-4302-1965-1_4.

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Coder, David M. "Data Management and Storage." In In Living Color. Springer Berlin Heidelberg, 2000. http://dx.doi.org/10.1007/978-3-642-57049-0_9.

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Zhao, Liang, Sherif Sakr, Anna Liu, and Athman Bouguettaya. "Cloud-Hosted Data Storage Systems." In Cloud Data Management. Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-04765-2_3.

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Herminghaus, Volker. "Tuning Storage Foundation." In Storage Management in Data Centers. Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-540-85023-6_13.

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Conference papers on the topic "Data storage and transfer management"

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Seok, Woojin, Jeonghoon Moon, Wontaek Hong, Jaiseung Kwak, and Manhee Lee. "Store-and-Forward Data Transfer using Optimized Intermediate Node." In 2019 20th Asia-Pacific Network Operations and Management Symposium (APNOMS). IEEE, 2019. http://dx.doi.org/10.23919/apnoms.2019.8892885.

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Mulay, Veerendra, Saket Karajgikar, Dereje Agonafer, Roger Schmidt, Madshusudan Iyengar, and Jay Nigen. "Computational Study of Hybrid Cooling Solution for Thermal Management of Data Centers." In ASME 2007 InterPACK Conference collocated with the ASME/JSME 2007 Thermal Engineering Heat Transfer Summer Conference. ASMEDC, 2007. http://dx.doi.org/10.1115/ipack2007-33000.

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The power trend for server systems continues to grow thereby making thermal management of data centers a very challenging task. Although various configurations exist, the raised floor plenum with Computer Room Air Conditioners (CRACs) providing cold air is a popular operating strategy. In prior work, numerous data center layouts employing raised floor plenum and the impact of design parameters such as plenum depth, ceiling height, cold isle location, tile openings and others on thermal performance of data center were presented. The air cooling of data center however, may not address the situat
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Shahiduzzaman, M. M., Mahmuda Naznin, and Akond Ashfaque Ur Rahman. "Portable and secure multimedia data transfer in mobile phones using Record Management Store (RMS)." In 2010 3rd IEEE International Conference on Computer Science and Information Technology (ICCSIT 2010). IEEE, 2010. http://dx.doi.org/10.1109/iccsit.2010.5564971.

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Yang, Jiaping, Cheng Peng Tan, and Eng Hong Ong. "Heat Transfer Enhancement by Helium Gas Filled in a Hard Disk Drive Enclosure." In ASME 2010 International Mechanical Engineering Congress and Exposition. ASMEDC, 2010. http://dx.doi.org/10.1115/imece2010-37622.

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Heat transfer issue has become a challenging task in designing a high power density data center. As power consumption (Watts) of the data center continues to increase, effective thermal management of computing clusters, servers and data storage systems in data center will become more and more demanding. Hard disk drive (HDD) as a key power consumption device in high-end data storage system, its heat transfer issue has attracted more research attentions due to its complexity in nature of enclosure air flow driven by spinning disks. Among various thermal management solutions, one promising appro
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Sanusi, Omar, Randy D. Weinstein, and Amy S. Fleischer. "An Investigation Into the Penetration of Phase Change Material in Carbon Foam for Transient Thermal Management." In ASME 2009 InterPACK Conference collocated with the ASME 2009 Summer Heat Transfer Conference and the ASME 2009 3rd International Conference on Energy Sustainability. ASMEDC, 2009. http://dx.doi.org/10.1115/interpack2009-89070.

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Phase Change Materials (PCMs) are used for thermal management and are ideal for cyclic operations due to their high capacity to store heat. Most PCMs do not exhibit sufficient conductivity to be effective at larger sizes. Enhancing conductivity can be done in a number of ways including carbon foam. It is not widely known how well PCMs penetrate inside the carbon foam structure. Initial research suggests that the carbon foam-PCM matrix acts more as a conductor than a thermal storage device. Through the use microscopy, we will examine how the well the PCM penetrates into the carbon foam. We will
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Mason, Robert. "Interoperability Gap Challenges for Learning Object Repositories & Learning Management Systems." In InSITE 2007: Informing Science + IT Education Conference. Informing Science Institute, 2007. http://dx.doi.org/10.28945/3079.

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An interoperability gap exists between Learning Management Systems (LMS) and Learning Ob ject Repositories (LOR). LORs are responsible for the storage and management of Learning Objects and the associated Learning Object Metadata (LOM). LOR(s) adhere to various LOM standards depending up the requirements established by user groups and LOR administrators. Two common LOM standards found in LORs are CanCore (Canadian LOM standard) and the Sharable Content Object Reference Model (SCORM) Content Aggregation Model (CAM). In contrast, LMSs are independent computer systems that manage and deliver cour
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Sponagle, Benjamin, Simon Maranda, and Dominic Groulx. "Investigation of the Thermal Behaviour of Thin Phase Change Material Packages as a Solution to Temperature Control in Electronics." In ASME 2017 Heat Transfer Summer Conference. American Society of Mechanical Engineers, 2017. http://dx.doi.org/10.1115/ht2017-4801.

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This paper presents an experimental and numerical investigation of the thermal behavior of thin phase change material (PCM) packages as a solution to thermal management in portable electronic devices. The thin packages are made of encapsulated PCM in aluminized laminated film. The experimental setup is designed to include the most fundamental aspects of a portable electronic system while also being simple enough to be easily simulated using the finite element method; it is rectangular in nature. Two different types of PCM are used for the experimental work; the commercially available PT-37 and
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Wells, David, Andrew Herrick, Alexander Klepikov, Igor Yakovlev, Evgeniy Tur, and Collin Knight. "Remote Radiation and Visual Surveys of the Hot Cell Waste Vault and Spent Fuel Transfer Route at Kazakhstan’s BN-350 Reactor." In ASME 2011 14th International Conference on Environmental Remediation and Radioactive Waste Management. ASMEDC, 2011. http://dx.doi.org/10.1115/icem2011-59101.

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Kazakhstan’s BN-350 fast reactor was shut down in 1999 and is in the process of being decommissioned in preparation for Safestore. A key achievement during 2010 was the removal of the known inventory of spent nuclear fuel (SNF) from the reactor to off-site secure storage. As a complementary activity, surveys of areas of the fuel discharge route where it was considered possible for fuel pins or fuel residues to have collected over many years of operation were also arranged to confirm that no significant amounts of fuel of remained at the plant. This paper reports on the remote radiation and vis
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Tsai, Hanchung, Yung Y. Liu, Mark Nutt, and James Shuler. "Advanced Surveillance Technologies for Used Fuel Long-Term Storage and Transportation." In ASME 2011 14th International Conference on Environmental Remediation and Radioactive Waste Management. ASMEDC, 2011. http://dx.doi.org/10.1115/icem2011-59032.

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Utilities worldwide are using dry-cask storage systems to handle the ever-increasing number of discharged fuel assemblies from nuclear power plants. In the United States and possibly elsewhere, this trend will continue until an acceptable disposal path is established. The recent Fukushima nuclear power plant accident, specifically the events with the storage pools, may accelerate the drive to relocate more of the used fuel assemblies from pools into dry casks. Many of the newer cask systems incorporate dual-purpose (storage and transport) or multiple-purpose (storage, transport, and disposal)
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Niels, Yves, Marija Fabjan, Gasˇper Tavcˇar, Jozˇe Rojc, Matjazˇ Stepisˇnik, and Koen Lenie. "Improvement of the Management of Institutional Radioactive Waste in Slovenia." In ASME 2009 12th International Conference on Environmental Remediation and Radioactive Waste Management. ASMEDC, 2009. http://dx.doi.org/10.1115/icem2009-16092.

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The Central Storage Facility (CSF) in Brinje is the only storage facility for institutional radioactive waste in Slovenia. The storage has been in operation since 1986. Since the year 1999, operation of the CSF in Brinje and managing of institutional radioactive waste in Slovenia has been under the control of Agency for Radwaste Management (ARAO). At the time of taking over the CSF, the waste in store was not fully characterized and in some cases the available data did not match records and inventories. Besides this, some shielded containers and drums were degraded, which creates a potential r
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Reports on the topic "Data storage and transfer management"

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Podio, Fernando, William Vollrath, Joel Williams, Ben Kobler, and Don Crouse. Emerging network storage management standards for intelligent data storage subsystems. National Institute of Standards and Technology, 1998. http://dx.doi.org/10.6028/nist.ir.6179.

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Sim, Alexander, Mehmet Balman, Dean N. Williams, Arie Shoshani, and Vijaya Natarajan. Bulk Data Movement for Climate Dataset: Efficient Data Transfer Management with Dynamic Transfer Adjustment. Office of Scientific and Technical Information (OSTI), 2010. http://dx.doi.org/10.2172/991958.

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Busch, Ingrid Karin, and Rob L. Howard. Transportation Storage Logistics (TSL) Model Data Management Manual. Office of Scientific and Technical Information (OSTI), 2012. http://dx.doi.org/10.2172/1136358.

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Maltzahn, Carlos. Science-Driven Data Management for Multi-Tiered Storage. Office of Scientific and Technical Information (OSTI), 2020. http://dx.doi.org/10.2172/1594174.

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Parashar, Manish. SIRIUS: Science-Driven Data Management for Multi-Tiered Storage. Office of Scientific and Technical Information (OSTI), 2018. http://dx.doi.org/10.2172/1736017.

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Hanisch, Bob, Peter Quinn, and Andy Lawrence. The Management, Storage, Utilization of Astronomical Data in the 21st Century Version 1.00. Edited by Bob Hanisch. International Virtual Observatory Alliance, 2004. http://dx.doi.org/10.5479/ads/bib/2004ivoa.rept.0315h.

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García-Espinosa, J., and C. Soriano. Data management plan. Scipedia, 2021. http://dx.doi.org/10.23967/prodphd.2021.9.003.

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Abstract:
This document presents the deliverable D8.1 – the Data Management Plan (DMP) of work package 8 of the prodPhD project. It aims to present the plan for the management, generation, collection, security, preservation and sharing of data generated through the prodPhD project. The DMP is a key element for organizing the project’s data. It provides an analysis of the data, which will be collected, processed and published by the prodPhD consortium. The project embraces the initiatives of the European Commission to promote the open access to research data, aiming to improve and maximize access to and
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McKinnon, M. A., J. W. Doman, J. E. Tanner, R. J. Guenther, J. M. Creer, and C. E. King. BWR spent fuel storage cask performance test. Volume 1. Cask handling experience and decay heat, heat transfer, and shielding data. Office of Scientific and Technical Information (OSTI), 1986. http://dx.doi.org/10.2172/5853284.

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Davis, E. C., and R. R. Shoun. Environmental data package for ORNL Solid Waste Storage Area Four, the adjacent intermediate-level liquid waste transfer line, and the liquid waste pilot pit area. Office of Scientific and Technical Information (OSTI), 1986. http://dx.doi.org/10.2172/5009597.

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Paque, M. J. Assistance to state underground injection control programs and the oil and gas industry with class 2 injection well data management and technology transfer. Final technical report. Office of Scientific and Technical Information (OSTI), 1995. http://dx.doi.org/10.2172/257325.

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