Auswahl der wissenschaftlichen Literatur zum Thema „Distributed computing infrastructure“
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Zeitschriftenartikel zum Thema "Distributed computing infrastructure"
Horzela, Maximilian, Henri Casanova, Manuel Giffels, Artur Gottmann, Robin Hofsaess, Günter Quast, Simone Rossi Tisbeni, Achim Streit und Frédéric Suter. „Modeling Distributed Computing Infrastructures for HEP Applications“. EPJ Web of Conferences 295 (2024): 04032. http://dx.doi.org/10.1051/epjconf/202429504032.
Der volle Inhalt der QuelleKorenkov, Vladimir, Andrei Dolbilov, Valeri Mitsyn, Ivan Kashunin, Nikolay Kutovskiy, Dmitry Podgainy, Oksana Streltsova, Tatiana Strizh, Vladimir Trofimov und Peter Zrelov. „The JINR distributed computing environment“. EPJ Web of Conferences 214 (2019): 03009. http://dx.doi.org/10.1051/epjconf/201921403009.
Der volle Inhalt der QuelleFergusson, David, Roberto Barbera, Emidio Giorgio, Marco Fargetta, Gergely Sipos, Diego Romano, Malcolm Atkinson und Elizabeth Vander Meer. „Distributed Computing Education, Part 4: Training Infrastructure“. IEEE Distributed Systems Online 9, Nr. 10 (Oktober 2008): 2. http://dx.doi.org/10.1109/mdso.2008.28.
Der volle Inhalt der QuelleArslan, Mustafa Y., Indrajeet Singh, Shailendra Singh, Harsha V. Madhyastha, Karthikeyan Sundaresan und Srikanth V. Krishnamurthy. „CWC: A Distributed Computing Infrastructure Using Smartphones“. IEEE Transactions on Mobile Computing 14, Nr. 8 (01.08.2015): 1587–600. http://dx.doi.org/10.1109/tmc.2014.2362753.
Der volle Inhalt der QuelleDi Girolamo, Alessandro, Federica Legger, Panos Paparrigopoulos, Alexei Klimentov, Jaroslava Schovancová, Valentin Kuznetsov, Mario Lassnig et al. „Operational Intelligence for Distributed Computing Systems for Exascale Science“. EPJ Web of Conferences 245 (2020): 03017. http://dx.doi.org/10.1051/epjconf/202024503017.
Der volle Inhalt der QuelleJ, Bakiadarshani. „Computing while Charging: Building a Distributed Computing Infrastructure using Smartphones“. International Journal for Research in Applied Science and Engineering Technology V, Nr. III (24.03.2017): 323–37. http://dx.doi.org/10.22214/ijraset.2017.3060.
Der volle Inhalt der QuelleAdam, C., D. Barberis, S. Crépé-Renaudin, K. De, F. Fassi, A. Stradling, M. Svatos, A. Vartapetian und H. Wolters. „Computing shifts to monitor ATLAS distributed computing infrastructure and operations“. Journal of Physics: Conference Series 898 (Oktober 2017): 092004. http://dx.doi.org/10.1088/1742-6596/898/9/092004.
Der volle Inhalt der QuelleNishant, Neerav, und Vaishali Singh. „Distributed Infrastructure for an Academic Cloud“. International Journal on Recent and Innovation Trends in Computing and Communication 11, Nr. 6 (10.07.2023): 34–38. http://dx.doi.org/10.17762/ijritcc.v11i6.6769.
Der volle Inhalt der QuelleCHEN, QIMING, PARVATHI CHUNDI, UMESHWAR DAYAL und MEICHUN HSU. „DYNAMIC AGENTS“. International Journal of Cooperative Information Systems 08, Nr. 02n03 (Juni 1999): 195–223. http://dx.doi.org/10.1142/s0218843099000101.
Der volle Inhalt der QuelleDubenskaya, J., A. Kryukov, A. Demichev und N. Prikhodko. „New security infrastructure model for distributed computing systems“. Journal of Physics: Conference Series 681 (03.02.2016): 012051. http://dx.doi.org/10.1088/1742-6596/681/1/012051.
Der volle Inhalt der QuelleDissertationen zum Thema "Distributed computing infrastructure"
AlJabban, Tarek. „Distributed database storage management for a cloud computing infrastructure“. Thesis, McGill University, 2013. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=114556.
Der volle Inhalt der QuelleLes applications Internet ont récemment connu une croissance considérable en termes de taille et de complexité. Afin de satisfaire la forte demande pour les ressources informatiques et les espaces de stockage, les technologies en distribution ont commencé à devenir plus impliquées dans les applications à grande échelle. Le Cloud Computing est l'une de ces nombreuses technologies qui ont émergé pour aider à atteindre les objectifs de ces applications, telles que la haute disponibilité, les performances et l'évolutivité.Platform as a Service (PaaS) est un type de service qui peut être fourni par les solutions de Cloud Computing. Ces systèmes suivent souvent une architecture multi-niveaux qui se compose principalement d'un niveau de présentation, un niveau d'application et d'un niveau de base de données. Les volumes de données échangées entre l'application et la base de données deviennent énormes en particulier pour les applications de niveau entreprise. En conséquence, la conception de la base de données dans les systèmes de Cloud Computing doit prendre en compte le challenge de l'évolution des quantités énormes de données. Dans cette mémoire, nous proposons une approche de distribution des données qui peuvent être utilisées pour améliorer l'évolutivité des bases de données. Nous proposons deux techniques qui peuvent être appliquées à un serveur de base de données unique traditionnelle.Ces techniques fonctionnent en remplaçant le paradigme traditionnel utilisant une seule machine de stockage avec un paradigme de stockage distribué. Les techniques proposées maintiennent les caractéristiques qui existaient à l'origine dans le système de base de données, et en plus fournissent les caractéristiques de la distribution et de la réplication. Ces deux fonctionnalités supplémentaires aident à améliorer le système de tolérance aux pannes, car ils diminuent la possibilité d'avoir une défaillance au niveau du serveur de base de données. La distribution du stockage permet de résoudre les problèmes de performances spécifiques, tels que la réduction de l'utilisation des entrées/sorties et consécutivement de diminuer la possibilité de saturation des entrées/sorties.Par ailleurs, cela produit d'autres défis de performances qui doivent être pris en compte. Pour prouver la faisabilité de nos techniques, nous les avons implémentées comme des extensions du module de gestion de stockage de la base de données PostgreSQL.
LUCREZIA, FRANCESCO. „Network Infrastructures for Highly Distributed Cloud-Computing“. Doctoral thesis, Politecnico di Torino, 2018. http://hdl.handle.net/11583/2706032.
Der volle Inhalt der QuelleKhan, Kashif. „A distributed computing architecture to enable advances in field operations and management of distributed infrastructure“. Thesis, University of Manchester, 2012. https://www.research.manchester.ac.uk/portal/en/theses/a-distributed-computing-architecture-to-enable-advances-in-field-operations-and-management-of-distributed-infrastructure(a9181e99-adf3-47cb-93e1-89d267219e50).html.
Der volle Inhalt der QuellePeters, Stephen Leslie. „Hyperglue : an infrastructure for human-centered computing in distributed, pervasive, intelligent environments“. Thesis, Massachusetts Institute of Technology, 2006. http://hdl.handle.net/1721.1/35594.
Der volle Inhalt der QuelleIncludes bibliographical references (p. 161-165).
As intelligent environments (IEs) move from simple kiosks and meeting rooms into the everyday offices, kitchens, and living spaces we use, the need for these spaces to communicate not only with users, but also with each other, will become increasingly important. Users will want to be able to shift their work environment between localities easily, and will also need to communicate with others as they move about. These IEs will thus require two pieces of infrastructure: a knowledge representation (KR) which can keep track of people and their relationships to the world; and a communication mechanism so that the IE can mediate interactions. This thesis seeks to define, explore and evaluate one way of creating this infrastructure, by creating societies of agents that can act on behalf of real-world entities such as users, physical spaces, or informal groups of people. Just as users interact with each other and with objects in their physical location, the agent societies interact with each other along communication channels organized along these same relationships. By organizing the infrastructure through analogies to the real world, we hope to achieve a simpler conceptual model for the users, as well as a communication hierarchy which can be realized efficiently.
by Stephen L. Peters.
Ph.D.
Bianchi, Stefano. „Design and Implementation of a Cloud Infrastructure for Distributed Scientific Calculation“. Master's thesis, Alma Mater Studiorum - Università di Bologna, 2016.
Den vollen Inhalt der Quelle findenMechtri, Marouen. „Virtual networked infrastructure provisioning in distributed cloud environments“. Thesis, Evry, Institut national des télécommunications, 2014. http://www.theses.fr/2014TELE0028/document.
Der volle Inhalt der QuelleCloud computing emerged as a new paradigm for on-demand provisioning of IT resources and for infrastructure externalization and is rapidly and fundamentally revolutionizing the way IT is delivered and managed. The resulting incremental Cloud adoption is fostering to some extent cloud providers cooperation and increasing the needs of tenants and the complexity of their demands. Tenants need to network their distributed and geographically spread cloud resources and services. They also want to easily accomplish their deployments and instantiations across heterogeneous cloud platforms. Traditional cloud providers focus on compute resources provisioning and offer mostly virtual machines to tenants and cloud services consumers who actually expect full-fledged (complete) networking of their virtual and dedicated resources. They not only want to control and manage their applications but also control connectivity to easily deploy complex network functions and services in their dedicated virtual infrastructures. The needs of users are thus growing beyond the simple provisioning of virtual machines to the acquisition of complex, flexible, elastic and intelligent virtual resources and services. The goal of this thesis is to enable the provisioning and instantiation of this type of more complex resources while empowering tenants with control and management capabilities and to enable the convergence of cloud and network services. To reach these goals, the thesis proposes mapping algorithms for optimized in-data center and in-network resources hosting according to the tenants' virtual infrastructures requests. In parallel to the apparition of cloud services, traditional networks are being extended and enhanced with software networks relying on the virtualization of network resources and functions especially through network resources and functions virtualization. Software Defined Networks are especially relevant as they decouple network control and data forwarding and provide the needed network programmability and system and network management capabilities. In such a context, the first part proposes optimal (exact) and heuristic placement algorithms to find the best mapping between the tenants' requests and the hosting infrastructures while respecting the objectives expressed in the demands. This includes localization constraints to place some of the virtual resources and services in the same host and to distribute other resources in distinct hosts. The proposed algorithms achieve simultaneous node (host) and link (connection) mappings. A heuristic algorithm is proposed to address the poor scalability and high complexity of the exact solution(s). The heuristic scales much better and is several orders of magnitude more efficient in terms of convergence time towards near optimal and optimal solutions. This is achieved by reducing complexity of the mapping process using topological patterns to map virtual graph requests to physical graphs representing respectively the tenants' requests and the providers' physical infrastructures. The proposed approach relies on graph decomposition into topology patterns and bipartite graphs matching techniques. The third part propose an open source Cloud Networking framework to achieve cloud and network resources provisioning and instantiation in order to respectively host and activate the tenants' virtual resources and services. This framework enables and facilitates dynamic networking of distributed cloud services and applications. This solution relies on a Cloud Network Gateway Manager and gateways to establish dynamic connectivity between cloud and network resources. The CNG-Manager provides the application networking control and supports the deployment of the needed underlying network functions in the tenant desired infrastructure (or slice since the physical infrastructure is shared by multiple tenants with each tenant receiving a dedicated and isolated portion/share of the physical resources)
Svärd, Petter. „Dynamic Cloud Resource Management : Scheduling, Migration and Server Disaggregation“. Doctoral thesis, Umeå universitet, Institutionen för datavetenskap, 2014. http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-87904.
Der volle Inhalt der QuelleMechtri, Marouen. „Virtual networked infrastructure provisioning in distributed cloud environments“. Electronic Thesis or Diss., Evry, Institut national des télécommunications, 2014. http://www.theses.fr/2014TELE0028.
Der volle Inhalt der QuelleCloud computing emerged as a new paradigm for on-demand provisioning of IT resources and for infrastructure externalization and is rapidly and fundamentally revolutionizing the way IT is delivered and managed. The resulting incremental Cloud adoption is fostering to some extent cloud providers cooperation and increasing the needs of tenants and the complexity of their demands. Tenants need to network their distributed and geographically spread cloud resources and services. They also want to easily accomplish their deployments and instantiations across heterogeneous cloud platforms. Traditional cloud providers focus on compute resources provisioning and offer mostly virtual machines to tenants and cloud services consumers who actually expect full-fledged (complete) networking of their virtual and dedicated resources. They not only want to control and manage their applications but also control connectivity to easily deploy complex network functions and services in their dedicated virtual infrastructures. The needs of users are thus growing beyond the simple provisioning of virtual machines to the acquisition of complex, flexible, elastic and intelligent virtual resources and services. The goal of this thesis is to enable the provisioning and instantiation of this type of more complex resources while empowering tenants with control and management capabilities and to enable the convergence of cloud and network services. To reach these goals, the thesis proposes mapping algorithms for optimized in-data center and in-network resources hosting according to the tenants' virtual infrastructures requests. In parallel to the apparition of cloud services, traditional networks are being extended and enhanced with software networks relying on the virtualization of network resources and functions especially through network resources and functions virtualization. Software Defined Networks are especially relevant as they decouple network control and data forwarding and provide the needed network programmability and system and network management capabilities. In such a context, the first part proposes optimal (exact) and heuristic placement algorithms to find the best mapping between the tenants' requests and the hosting infrastructures while respecting the objectives expressed in the demands. This includes localization constraints to place some of the virtual resources and services in the same host and to distribute other resources in distinct hosts. The proposed algorithms achieve simultaneous node (host) and link (connection) mappings. A heuristic algorithm is proposed to address the poor scalability and high complexity of the exact solution(s). The heuristic scales much better and is several orders of magnitude more efficient in terms of convergence time towards near optimal and optimal solutions. This is achieved by reducing complexity of the mapping process using topological patterns to map virtual graph requests to physical graphs representing respectively the tenants' requests and the providers' physical infrastructures. The proposed approach relies on graph decomposition into topology patterns and bipartite graphs matching techniques. The third part propose an open source Cloud Networking framework to achieve cloud and network resources provisioning and instantiation in order to respectively host and activate the tenants' virtual resources and services. This framework enables and facilitates dynamic networking of distributed cloud services and applications. This solution relies on a Cloud Network Gateway Manager and gateways to establish dynamic connectivity between cloud and network resources. The CNG-Manager provides the application networking control and supports the deployment of the needed underlying network functions in the tenant desired infrastructure (or slice since the physical infrastructure is shared by multiple tenants with each tenant receiving a dedicated and isolated portion/share of the physical resources)
Rojas, Balderrama Javier. „Gestion du cycle de vie de services déployés sur une infrastructure de calcul distribuée en neuroinformatique“. Phd thesis, Université de Nice Sophia-Antipolis, 2012. http://tel.archives-ouvertes.fr/tel-00804893.
Der volle Inhalt der QuelleSuthakar, Uthayanath. „A scalable data store and analytic platform for real-time monitoring of data-intensive scientific infrastructure“. Thesis, Brunel University, 2017. http://bura.brunel.ac.uk/handle/2438/15788.
Der volle Inhalt der QuelleBücher zum Thema "Distributed computing infrastructure"
Bubak, Marian, Jacek Kitowski und Kazimierz Wiatr, Hrsg. eScience on Distributed Computing Infrastructure. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-10894-0.
Der volle Inhalt der QuelleTianruo, Yang Laurence, und Guo Minyi, Hrsg. High performance computing: Paradigm and infrastructure. Hoboken, N.J: J. Wiley, 2005.
Den vollen Inhalt der Quelle finden1974-, Wang Lizhe, Jie Wei und Chen Jinjun, Hrsg. Grid computing: Infrastructure, service, and applications. Boca Raton: CRC Press, 2009.
Den vollen Inhalt der Quelle findenSharda, Ramesh. Operations Research and Cyber-Infrastructure. Boston, MA: Springer US, 2009.
Den vollen Inhalt der Quelle findenKacsuk, Péter, Hrsg. Science Gateways for Distributed Computing Infrastructures. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-11268-8.
Der volle Inhalt der QuelleKrause, Jordan. Windows Server 2012 R2 administrator cookbook: Over 80 hands-on recipes to effectively administer and manage your Windows Server 2012 R2 infrastructure in enterprise environments. Birmingham, UK: Packt Publishing, 2015.
Den vollen Inhalt der Quelle findenParashar, Manish. Advanced computational infrastructures for parallel and distributed adaptive applications. Hoboken, N.J: John Wiley & Sons, 2010.
Den vollen Inhalt der Quelle finden1967-, Parashar Manish, und Li Xiaolin 1973-, Hrsg. Advanced computational infrastructures for parallel and distributed adaptive applications. Hoboken, N.J: John Wiley & Sons, 2010.
Den vollen Inhalt der Quelle findenVillari, Massimo, Ivona Braidic und Francesco Tusa. Achieving federated and self-manageable cloud infrastructures: Theory and practice. Hershey, PA: Business Science Reference, 2012.
Den vollen Inhalt der Quelle findenInternational Symposium on Grid Computing (2010 Taipei, Taiwan). Data driven e-Science: Use cases and successful applications of distributed computing infrastructures (ISGC 2010). Herausgegeben von Lin Simon C und Yen Eric. New York: Springer, 2011.
Den vollen Inhalt der Quelle findenBuchteile zum Thema "Distributed computing infrastructure"
Jiang, Weirong, und Viktor K. Prasanna. „Energy-Efficient Internet Infrastructure“. In Energy-Efficient Distributed Computing Systems, 567–92. Hoboken, NJ, USA: John Wiley & Sons, Inc., 2012. http://dx.doi.org/10.1002/9781118342015.ch20.
Der volle Inhalt der QuelleRycerz, Katarzyna, Marian Bubak, Eryk Ciepiela, Maciej Pawlik, Olivier Hoenen, Daniel Harężlak, Bartosz Wilk, Tomasz Gubała, Jan Meizner und David Coster. „Enabling Multiscale Fusion Simulations on Distributed Computing Resources“. In eScience on Distributed Computing Infrastructure, 195–210. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-10894-0_14.
Der volle Inhalt der QuelleBanerjee, Prith. „An Intelligent IT Infrastructure for the Future“. In Distributed Computing and Networking, 1. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-11322-2_1.
Der volle Inhalt der QuelleTang, Jia, und Minjie Zhang. „An Agent-Based Grid Computing Infrastructure“. In Parallel and Distributed Processing and Applications, 630–44. Berlin, Heidelberg: Springer Berlin Heidelberg, 2005. http://dx.doi.org/10.1007/11576235_64.
Der volle Inhalt der QuelleDziekoński, Paweł, Franciszek Klajn, Łukasz Flis, Patryk Lasoń, Marek Magryś, Andrzej Oziębło, Radosław Rowicki et al. „National Distributed High Performance Computing Infrastructure for PL-Grid Users“. In eScience on Distributed Computing Infrastructure, 16–33. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-10894-0_2.
Der volle Inhalt der QuelleAcharya, Satyajit, Chris George und Hrushikesha Mohanty. „Specifying a Mobile Computing Infrastructure and Services“. In Distributed Computing and Internet Technology, 244–54. Berlin, Heidelberg: Springer Berlin Heidelberg, 2004. http://dx.doi.org/10.1007/978-3-540-30555-2_29.
Der volle Inhalt der QuelleNawrocki, Krzysztof, Andrzej Olszewski, Adam Padée, Anna Padée, Mariusz Witek, Piotr Wójcik und Miłosz Zdybał. „Domain-Oriented Services for High Energy Physics in Polish Computing Centers“. In eScience on Distributed Computing Infrastructure, 226–37. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-10894-0_16.
Der volle Inhalt der QuelleKitowski, Jacek, Kazimierz Wiatr, Łukasz Dutka, Tomasz Szepieniec, Mariusz Sterzel und Robert Pająk. „Domain-Specific Services in Polish e-Infrastructure“. In eScience on Distributed Computing Infrastructure, 1–15. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-10894-0_1.
Der volle Inhalt der QuelleKocot, Joanna, Tomasz Szepieniec, Piotr Wójcik, Michał Trzeciak, Maciej Golik, Tomasz Grabarczyk, Hubert Siejkowski und Mariusz Sterzel. „A Framework for Domain-Specific Science Gateways“. In eScience on Distributed Computing Infrastructure, 130–46. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-10894-0_10.
Der volle Inhalt der QuelleKurowski, Krzysztof, Piotr Dziubecki, Piotr Grabowski, Michał Krysiński, Tomasz Piontek und Dawid Szejnfeld. „Easy Development and Integration of Science Gateways with Vine Toolkit“. In eScience on Distributed Computing Infrastructure, 147–63. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-10894-0_11.
Der volle Inhalt der QuelleKonferenzberichte zum Thema "Distributed computing infrastructure"
Zasada, Stefan J., Mariusz Mamonski, Derek Groen, Joris Borgdorff, Ilya Saverchenko, Tomasz Piontek, Krzysztof Kurowski und Peter V. Coveney. „Distributed Infrastructure for Multiscale Computing“. In 2012 IEEE/ACM 16th International Symposium on Distributed Simulation and Real Time Applications (DS-RT). IEEE, 2012. http://dx.doi.org/10.1109/ds-rt.2012.17.
Der volle Inhalt der QuelleGhijsen, Mattijs, Jeroen van der Ham, Paola Grosso und Cees de Laat. „Towards an Infrastructure Description Language for Modeling Computing Infrastructures“. In 2012 IEEE 10th International Symposium on Parallel and Distributed Processing with Applications (ISPA). IEEE, 2012. http://dx.doi.org/10.1109/ispa.2012.35.
Der volle Inhalt der QuelleCallegaro, Davide, Sabur Baidya und Marco Levorato. „Dynamic Distributed Computing for Infrastructure-Assisted Autonomous UAVs“. In ICC 2020 - 2020 IEEE International Conference on Communications (ICC). IEEE, 2020. http://dx.doi.org/10.1109/icc40277.2020.9148986.
Der volle Inhalt der QuelleZhou, Larry, Jordan Lambert, Yanyan Zheng, Zheng Li, Alan Yen, Sandra Liu, Vivian Ye et al. „Distributed Scalable Edge Computing Infrastructure for Open Metaverse“. In 2023 IEEE Cloud Summit. IEEE, 2023. http://dx.doi.org/10.1109/cloudsummit57601.2023.00007.
Der volle Inhalt der QuelleAshrafi, Tasnia H., Sayed E. Arefin, Kowshik D. J. Das, Md A. Hossain und Amitabha Chakrabarty. „FOG based distributed IoT infrastructure“. In ICC '17: Second International Conference on Internet of Things, Data and Cloud Computing. New York, NY, USA: ACM, 2017. http://dx.doi.org/10.1145/3018896.3036365.
Der volle Inhalt der QuelleKutovskiy, N., I. Pelevanyuk und D. Zaborov. „USING DISTRIBUTED CLOUDS FOR SCIENTIFIC COMPUTING“. In 9th International Conference "Distributed Computing and Grid Technologies in Science and Education". Crossref, 2021. http://dx.doi.org/10.54546/mlit.2021.78.51.001.
Der volle Inhalt der QuelleMilanovic, N., und V. Mornar. „A software infrastructure for distributed computing based on DCOM“. In Proceedings 23rd International Conference Information Technology Interfaces. ITI 2001. IEEE, 2001. http://dx.doi.org/10.1109/iti.2001.937998.
Der volle Inhalt der Quelle„Session 8: infrastructure“. In Proceedings. 13th IEEE International Symposium on High performance Distributed Computing, 2004. IEEE, 2004. http://dx.doi.org/10.1109/hpdc.2004.1323542.
Der volle Inhalt der QuelleFagan, Michael, Mohammad Maifi Hasan Khan und Bing Wang. „Leveraging Cloud Infrastructure for Troubleshooting Edge Computing Systems“. In 2012 IEEE 18th International Conference on Parallel and Distributed Systems (ICPADS). IEEE, 2012. http://dx.doi.org/10.1109/icpads.2012.67.
Der volle Inhalt der QuelleSinnott, R. O., G. Stewart, A. Asenov, C. Millar, D. Reid, G. Roy, S. Roy, C. Davenhall, B. Harbulot und M. Jones. „e-Infrastructure Support for nanoCMOS Device and Circuit Simulations“. In Parallel and Distributed Computing and Networks. Calgary,AB,Canada: ACTAPRESS, 2010. http://dx.doi.org/10.2316/p.2010.676-048.
Der volle Inhalt der QuelleBerichte der Organisationen zum Thema "Distributed computing infrastructure"
Kang, Myong H., Judith N. Froscher und Brian J. Eppinger. Towards an Infrastructure for MLS Distributed Computing. Fort Belvoir, VA: Defense Technical Information Center, Januar 1998. http://dx.doi.org/10.21236/ada465483.
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