Academic literature on the topic 'Grid computing'

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Journal articles on the topic "Grid computing"

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Rakib, Abdur. "Grid Computing Introduction." Journal of Advances and Scholarly Researches in Allied Education 15, no. 5 (July 1, 2018): 140–44. http://dx.doi.org/10.29070/15/57603.

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Coveney, Peter V. "Scientific Grid computing." Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences 363, no. 1833 (July 18, 2005): 1707–13. http://dx.doi.org/10.1098/rsta.2005.1632.

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We introduce a definition of Grid computing which is adhered to throughout this Theme Issue. We compare the evolution of the World Wide Web with current aspirations for Grid computing and indicate areas that need further research and development before a generally usable Grid infrastructure becomes available. We discuss work that has been done in order to make scientific Grid computing a viable proposition, including the building of Grids, middleware developments, computational steering and visualization. We review science that has been enabled by contemporary computational Grids, and associated progress made through the widening availability of high performance computing.
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Sadiku, Matthew N. O., Adebowale E. Shadare, and Sarhan M. Musa. "Grid Computing." International Journal of Advanced Research in Computer Science and Software Engineering 7, no. 6 (June 30, 2017): 5–6. http://dx.doi.org/10.23956/ijarcsse/v7i6/01612.

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KISHIMOTO, Mitsuhiro, and Keisuke FUKUI. "Grid Computing." Journal of The Institute of Electrical Engineers of Japan 125, no. 7 (2005): 417–20. http://dx.doi.org/10.1541/ieejjournal.125.417.

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Dumitru, Ileana. "Grid Computing." International Journal of Sustainable Economies Management 3, no. 3 (July 2014): 67–78. http://dx.doi.org/10.4018/ijsem.2014070105.

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To calculate the potential impact of grid on the enterprise, one just needs to look back a decade or so ago. Those who remember how LANs developed in company years before the Web was born can easily get a picture of how Grid Computing in corporations may change in the years to come. In the early days of the Internet, there was a strong opposition to linking computers together in a network. Ultimately, however, the Internet has become a ubiquitous tool, and many experts predict the same outcome for Grid Computing on the enterprise. There are still concerns to consider and obstacles to be overcome, but the momentum behind corporate Grid Computing is quickly gathering pace. The integration of Grid Computing technologies into enterprise computing systems can provide a much richer range of possibilities. This integration should provide enhanced capabilities and interoperability to meet current virtual organization demands.
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Deelman, Ewa, and Carl Kesselman. "Grid Computing." Scientific Programming 10, no. 2 (2002): 101–2. http://dx.doi.org/10.1155/2002/368025.

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Rana, O. "Grid computing." Computer Bulletin 44, no. 6 (November 1, 2002): 28. http://dx.doi.org/10.1093/combul/44.6.28.

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Rajaraman, V. "Grid computing." Resonance 21, no. 5 (May 2016): 401–15. http://dx.doi.org/10.1007/s12045-016-0344-2.

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Bry, François, Wolfgang E. Nagel, and Michael Schroeder. "Grid-Computing." Informatik-Spektrum 27, no. 6 (December 2004): 542–45. http://dx.doi.org/10.1007/s00287-004-0443-4.

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Fischbach, Kai. "Grid computing." WIRTSCHAFTSINFORMATIK 48, no. 6 (December 2006): 452. http://dx.doi.org/10.1007/s11576-006-0101-3.

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Dissertations / Theses on the topic "Grid computing"

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Petersen, Karsten. "Grid Computing - Eine Einführung." Universitätsbibliothek Chemnitz, 2003. http://nbn-resolving.de/urn:nbn:de:swb:ch1-200301292.

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Morel, Matthieu. "Components for grid computing." Nice, 2006. http://www.theses.fr/2006NICE4086.

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This thesis aims at facilitating the design and deployment of distributed applications on Grids, using a component-based programming approach. The specific issues in Grid computing addressed by the proposal of this thesis are: complexity of design, deployment, flexibility and high performance. We propose and justify a component model and an implementation framework. Our component model grounds on the Fractal component model and the active object model, It takes advantage of, first, the hierarchical model, well defined semantics and extensibility of the Fractal model, and second, the identification of components as configurable activities. We define a deployment model based on the concept of virtual architectures, and we propose primitives for collective communications through the specification of collective interfaces. Collective interfaces handle data distribution, parallelism and synchronization of invocations. They establish a basis for defining complex interactions between multiple components. We realized an implementation of this model on top of the ProActive Grid middleware, therefore benefiting from underlying features of ProActive. We demonstrate the scalability and efficiency of the framework by developing and deploying on several hundred nodes a compute and communication-intensive application, and we take advantage of the collective interfaces to develop a component-based SPMD application with benchmarks
L’objectif de cette thèse est de faciliter la conception et le déploiement d’applications distribuées sur la Grille, en utilisant une approche orientée composants. Les problématiques du calcul sur grilles abordées dans notre proposition sont: la complexité de conception, le déploiement, la flexibilité et la performance. Nous proposons et justifions un modèle de composants et son implantation. Le modèle proposé repose sur le modèle de composants Fractal et sur le modèle des objets actifs. Il bénéficie d’une part, de la structure hiérarchique et de la définition précise du modèle Fractal, et d’autre part, de l’identification des composants comme activités configurables. Nous proposons un modèle de déploiement et nous spécifions un ensemble de primitives pour les communications collectives, grâce à la définition d’interfaces collectives. Les interfaces collectives permettent de gérer la distribution des données, le parallélisme et la synchronisation des invocations. Nous avons développé une implantation du modèle proposé avec l’intergiciel de grille ProActive. Le framework de composants bénéficie ainsi des fonctionnalités sous-jacentes offertes par l’intergiciel ProActive. Nous démontrons la capacité de passage à l’échelle et l’efficacité de notre framework en déployant sur plusieurs centaines de machines des applications intensives en termes de calcul et de communications. Nous mettons à profit les interfaces collectives pour développer une application SPMD à base de composants, dont nous évaluons les performances
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Copaja, Cornejo Richard Nivaldo. "Grid computing para propósitos científicos." Bachelor's thesis, Universidad Nacional Mayor de San Marcos, 2007. https://hdl.handle.net/20.500.12672/14091.

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La investigación busca enfatizar las bondades del Grid Computing en el desarrollo de proyectos de investigación científica. La evolución de las redes de comunicación de alta velocidad, ha creado un escenario idóneo para el desarrollo de esta tecnología que proporcionará funcionalidades análogas a las existentes en las redes de suministro eléctrico; es decir un único punto de acceso a un conjunto de recursos distribuidos geográficamente como supercomputadores, clusters, sistemas de almacenamiento, fuentes de información, instrumentos y personal. La tecnología Grid Computing actual ofrece la funcionalidad mínima necesaria para, de forma transparente y segura, compartir y explotar simultáneamente los recursos pertenecientes a diferentes organizaciones, respetando sus propias políticas y procedimientos de seguridad y gestión de recursos. La propuesta constituye una solución viable para la difusión y creación de un Grid universitario, a nivel de Lima-Metropolitana, en una primera etapa y en un futuro a nivel nacional. De esta forma se contribuirá en la elevación del nivel de las investigaciones científicas peruanas.
Trabajo de suficiencia profesional
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Wang, Lizhe. "Virtual environments for Grid computing." Karlsruhe : Universitätsverlag, 2008. http://digbib.ubka.uni-karlsruhe.de/volltexte/1000009892.

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Avila, George Himer. "Constructing Covering Arrays using Parallel Computing and Grid Computing." Doctoral thesis, Universitat Politècnica de València, 2012. http://hdl.handle.net/10251/17027.

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A good strategy to test a software component involves the generation of the whole set of cases that participate in its operation. While testing only individual values may not be enough, exhaustive testing of all possible combinations is not always feasible. An alternative technique to accomplish this goal is called combinato- rial testing. Combinatorial testing is a method that can reduce cost and increase the effectiveness of software testing for many applications. It is based on con- structing functional test-suites of economical size, which provide coverage of the most prevalent configurations. Covering arrays are combinatorial objects, that have been applied to do functional tests of software components. The use of cov- ering arrays allows to test all the interactions, of a given size, among the input parameters using the minimum number of test cases. For software testing, the fundamental problem is finding a covering array with the minimum possible number of rows, thus reducing the number of tests, the cost, and the time expended on the software testing process. Because of the importance of the construction of (near) optimal covering arrays, much research has been carried out in developing effective methods for constructing them. There are several reported methods for constructing these combinatorial models, among them are: (1) algebraic methods, recursive methods, (3) greedy methods, and (4) metaheuristics methods. Metaheuristic methods, particularly through the application of simulated anneal- ing has provided the most accurate results in several instances to date. Simulated annealing algorithm is a general-purpose stochastic optimization method that has proved to be an effective tool for approximating globally optimal solutions to many optimization problems. However, one of the major drawbacks of the simulated an- nealing is the time it requires to obtain good solutions. In this thesis, we propose the development of an improved simulated annealing algorithm
Avila George, H. (2012). Constructing Covering Arrays using Parallel Computing and Grid Computing [Tesis doctoral no publicada]. Universitat Politècnica de València. https://doi.org/10.4995/Thesis/10251/17027
Palancia
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Mustafee, Navonil. "A grid computing framework for commercial simulation packages." Thesis, Brunel University, 2007. http://bura.brunel.ac.uk/handle/2438/4009.

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An increased need for collaborative research among different organizations, together with continuing advances in communication technology and computer hardware, has facilitated the development of distributed systems that can provide users non-trivial access to geographically dispersed computing resources (processors, storage, applications, data, instruments, etc.) that are administered in multiple computer domains. The term grid computing or grids is popularly used to refer to such distributed systems. A broader definition of grid computing includes the use of computing resources within an organization for running organization-specific applications. This research is in the context of using grid computing within an enterprise to maximize the use of available hardware and software resources for processing enterprise applications. Large scale scientific simulations have traditionally been the primary benefactor of grid computing. The application of this technology to simulation in industry has, however, been negligible. This research investigates how grid technology can be effectively exploited by simulation practitioners using Windows-based commercially available simulation packages to model simulations in industry. These packages are commonly referred to as Commercial Off-The-Shelf (COTS) Simulation Packages (CSPs). The study identifies several higher level grid services that could be potentially used to support the practise of simulation in industry. It proposes a grid computing framework to investigate these services in the context of CSP-based simulations. This framework is called the CSP-Grid Computing (CSP-GC) Framework. Each identified higher level grid service in this framework is referred to as a CSP-specific service. A total of six case studies are presented to experimentally evaluate how grid computing technologies can be used together with unmodified simulation packages to support some of the CSP-specific services. The contribution of this thesis is the CSP-GC framework that identifies how simulation practise in industry may benefit from the use of grid technology. A further contribution is the recognition of specific grid computing software (grid middleware) that can possibly be used together with existing CSPs to provide grid support. With its focus on end-users and end-user tools, it is intended that this research will encourage wider adoption of grid computing in the workplace and that simulation users will derive benefit from using this technology.
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Koehler, Stephan. "Video Streams in a Computing Grid." Thesis, KTH, School of Information and Communication Technology (ICT), 2010. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-24271.

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The growth of online video services such as YouTube enabled a new broadcasting medium for video. Similarly, consumer television is moving from analog to digital distribution of video content. Being able to manipulate the video stream by integrating a video or image overlay while streaming could enable a personalized video stream for each viewer. This master thesis explores the digital video domain to understand how streaming video can be efficiently modified, and designs and implements a prototype system for distributed video modification and streaming.

This thesis starts by examining standards and protocols related to video coding, formats and network distribution. To support multiple concurrent video streams to users, a distributed data and compute grid is used to create a scalable system for video streaming. Several (commercial) products are examined to find that GigaSpaces provides the optimal features for implementing the prototype. Furthermore third party libraries like libavcodec by FFMPEG and JBoss Netty are selected for respectively video coding and network streaming. The prototype design is then formulated including the design choices, the functionality in terms of user stories, the components that will make up the system and the flow of events in the system. Finally, the implementation is described followed by an evaluation of the fault tolerance, throughput, scalability and configuration. The evaluation shows that the prototype is fault tolerant and its throughput scales bothvertically and horizontally.

Intended audience

This thesis focuses on topics in the area of general computer science and network technology. It is therefore assumed that the reader has knowledge of basic concepts and techniques in these areas. More specifically this report focuses on topics related to digital video and distributed computer systems. Knowledge in these areas is helpful but not required.

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Polze, Andreas, and Bettina Schnor. "Grid-Computing : [Seminar im Sommersemester 2003]." Universität Potsdam, 2005. http://opus.kobv.de/ubp/volltexte/2009/3316/.

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1. Applikationen für weitverteiltes Rechnen Dennis Klemann, Lars Schmidt-Bielicke, Philipp Seuring 2. Das Globus-Toolkit Dietmar Bremser, Alexis Krepp, Tobias Rausch 3. Open Grid Services Architecture Lars Trieloff 4. Condor, Condor-G, Classad Stefan Henze, Kai Köhne 5. The Cactus Framework Thomas Hille, Martin Karlsch 6. High Performance Scheduler mit Maui/PBS Ole Weidner, Jörg Schummer, Benedikt Meuthrath 7. Bandbreiten-Monitoring mit NWS Alexander Ritter, Gregor Höfert 8. The Paradyn Parallel Performance Measurement Tool Jens Ulferts, Christian Liesegang 9. Grid-Applikationen in der Praxis Steffen Bach, Michael Blume, Helge Issel
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Cai, Wei. "Reconfigurable resource management in grid computing." Thesis, Lancaster University, 2007. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.507276.

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Ong, Sze Hwei 1979. "Grid computing : business and policy implications." Thesis, Massachusetts Institute of Technology, 2003. http://hdl.handle.net/1721.1/30035.

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Thesis (S.M.)--Massachusetts Institute of Technology, Engineering Systems Division, Technology and Policy Program, 2003.
Includes bibliographical references (leaves 84-86).
The Grid is a distributed computing infrastructure that facilitates the exchange of expertise and resources. It is somewhat analogous to the electric power grid in that it can potentially provide a universal source of IT resources that can have a huge impact on human capabilities and on the entire society. Currently the Grid is being deployed (in limited ways) in some research and academic institutions. As Grid computing technologies mature further, the commercial sector can also benefit. With Grid technologies enabling utility computing, enterprises will be able to access IT resources on-demand in a utility-like way. This thesis gives a brief introduction on Grids and looks back into the history of power grids for lessons learned. It suggests that the Grid and the power grid are both infrastructures and factors of reliability, standardization, universal access and affordability are necessary to ensure the success of any infrastructure. Once the Grid is successful, it can open up new opportunities in the field of utility computing and impact IT provision in the commercial sector. The new utility computing ecosystem would consist of five major players - the Grid resource supplier, the Grid infrastructure supplier, the utility service provider, the re-seller and the end user. Further industry analysis reveals that there are new roles for current players in the traditional IT provision industry and opportunities for new entrants in this new ecosystem. The thesis attempts to identify the characteristics of each of the five major players to help the IT industry better understand the requirements of these new roles. Current players in the IT provision industry would have to decide which of the above roles to play in this new utility computing ecosystem and to re-define their market strategies accordingly. New entrants to the field would likely be players in the telecommunication sector who want a share of this growing pie and whose existing relationship with bandwidth subscribers can be leveraged upon. This thesis concludes with recommendations on several policy issues: Grid standardization for inter-operability, decentralized Grid governance to encourage optimal resource sharing and mechanisms for transcending cultural/organizational barriers inhibiting the commercial adoption of Grid computing.
by Sze Hwei Ong.
S.M.
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Books on the topic "Grid computing"

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Barth, Thomas, and Anke Schüll, eds. Grid Computing. Wiesbaden: Vieweg, 2006. http://dx.doi.org/10.1007/978-3-8348-9101-3.

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Preve, Nikolaos P., ed. Grid Computing. London: Springer London, 2011. http://dx.doi.org/10.1007/978-0-85729-676-4.

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Lin, Simon C., and Eric Yen, eds. Grid Computing. Boston, MA: Springer US, 2009. http://dx.doi.org/10.1007/978-0-387-78417-5.

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Fey, Dietmar, ed. Grid-Computing. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-540-79747-0.

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Berman, Fran, Geoffrey Fox, and Tony Hey, eds. Grid Computing. Chichester, UK: John Wiley & Sons, Ltd, 2003. http://dx.doi.org/10.1002/0470867167.

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Dikaiakos, Marios D., ed. Grid Computing. Berlin, Heidelberg: Springer Berlin Heidelberg, 2004. http://dx.doi.org/10.1007/b99982.

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Fernández Rivera, Francisco, Marian Bubak, Andrés Gómez Tato, and Ramón Doallo, eds. Grid Computing. Berlin, Heidelberg: Springer Berlin Heidelberg, 2004. http://dx.doi.org/10.1007/b95647.

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Gorlatch, Sergei, Paraskevi Fragopoulou, and Thierry Priol, eds. Grid Computing. Boston, MA: Springer US, 2008. http://dx.doi.org/10.1007/978-0-387-09457-1.

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Craig, Fellenstein, ed. Grid computing. Upper Saddle River, N.J: Prentice Hall Professional Technical Reference, 2004.

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Parashar, Manish, ed. Grid Computing — GRID 2002. Berlin, Heidelberg: Springer Berlin Heidelberg, 2002. http://dx.doi.org/10.1007/3-540-36133-2.

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Book chapters on the topic "Grid computing"

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Rosato, Antonio. "Grid Computing." In NMR of Biomolecules, 509–18. Weinheim, Germany: Wiley-VCH Verlag GmbH & Co. KGaA, 2012. http://dx.doi.org/10.1002/9783527644506.ch31.

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Shekhar, Shashi, and Hui Xiong. "Grid Computing." In Encyclopedia of GIS, 419. Boston, MA: Springer US, 2008. http://dx.doi.org/10.1007/978-0-387-35973-1_551.

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Marten, Holger. "Grid Computing." In Disappearing Architecture, 42–50. Basel: Birkhäuser Basel, 2005. http://dx.doi.org/10.1007/3-7643-7674-0_5.

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Ali, Mohsin, Ke Meng, Zhaoyang Dong, and Pei Zhang. "Grid Computing." In Emerging Techniques in Power System Analysis, 95–115. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-04282-9_4.

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Baun, Christian, Günther Bengel, Marcel Kunze, and Karl-Uwe Stucky. "Grid-Computing." In Masterkurs Parallele und Verteilte Systeme, 447–57. Wiesbaden: Springer Fachmedien Wiesbaden, 2015. http://dx.doi.org/10.1007/978-3-8348-2151-5_11.

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Čibej, Uroš, Anthony Sulistio, and Rajkumar Buyya. "Grid Computing." In Parallel Computing, 117–45. London: Springer London, 2009. http://dx.doi.org/10.1007/978-1-84882-409-6_4.

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Taylor, Ian J., and Andrew B. Harrison. "Grid Computing." In From P2P and Grids to Services on the Web, 155–77. London: Springer London, 2009. http://dx.doi.org/10.1007/978-1-84800-123-7_9.

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Esposito, Alessandra. "Grid Computing." In Advances in Information Technologies for Electromagnetics, 55–68. Dordrecht: Springer Netherlands, 2006. http://dx.doi.org/10.1007/978-1-4020-4749-7_5.

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Evan Chang, Bor-Yuh, Karl Crary, Margaret DeLap, Robert Harper, Jason Liszka, Tom Murphy VII, and Frank Pfenning. "Trustless Grid Computing in ConCert." In Grid Computing — GRID 2002, 112–25. Berlin, Heidelberg: Springer Berlin Heidelberg, 2002. http://dx.doi.org/10.1007/3-540-36133-2_11.

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Verma, Dinesh, Sambit Sahu, Seraphin Calo, Manid Beigi, and Isabella Chang. "A Policy Service for GRID Computing." In Grid Computing — GRID 2002, 243–55. Berlin, Heidelberg: Springer Berlin Heidelberg, 2002. http://dx.doi.org/10.1007/3-540-36133-2_22.

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Conference papers on the topic "Grid computing"

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Foster, Ian. "Grid Computing." In ADVANCED COMPUTING AND ANALYSIS TECHNIQUES IN PHYSICS RESEARCH: VII International Workshop; ACAT 2000. AIP, 2001. http://dx.doi.org/10.1063/1.1405261.

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Greene, Darren W., Rahman Tashakkori, and Barry L. Kurtz. "Grid computing." In the 46th Annual Southeast Regional Conference. New York, New York, USA: ACM Press, 2008. http://dx.doi.org/10.1145/1593105.1593235.

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Du, W., J. Jia, Manish Mangal, and Mummoorthy Murugesan. "Uncheatable grid computing." In 24th International Conference on Distributed Computing Systems, 2004. Proceedings. IEEE, 2004. http://dx.doi.org/10.1109/icdcs.2004.1281562.

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R., Nanda Kumar, Aravindhan P., and Dinesh T. "Intelligent Grid Computing." In International Conference on Computer Applications — Networking. Singapore: Research Publishing Services, 2010. http://dx.doi.org/10.3850/978-981-08-7301-1_0332.

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Liu, Yang, Zong Rong, Chang Jun, and Chen Yun Ping. "Survey of Grid and Grid Computing." In 2011 International Conference on Internet Technology and Applications (iTAP). IEEE, 2011. http://dx.doi.org/10.1109/itap.2011.6006390.

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Undheim, Astrid, Ameen Chilwan, and Poul Heegaard. "Differentiated Availability in Cloud Computing SLAs." In 2011 12th IEEE/ACM International Conference on Grid Computing (GRID). IEEE, 2011. http://dx.doi.org/10.1109/grid.2011.25.

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Zhang, Xiangliang, Cecile Germain, and Michele Sebag. "Adaptively detecting changes in Autonomic Grid Computing." In 2010 11th IEEE/ACM International Conference on Grid Computing (GRID). IEEE, 2010. http://dx.doi.org/10.1109/grid.2010.5698017.

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Schulz, Sven, and Wolfgang Blochinger. "Adjustable Module Isolation for Distributed Computing Infrastructures." In 2011 12th IEEE/ACM International Conference on Grid Computing (GRID). IEEE, 2011. http://dx.doi.org/10.1109/grid.2011.22.

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Neill, Richard, Luca P. Carloni, Alexander Shabarshin, Valeriy Sigaev, and Serguei Tcherepanov. "Embedded Processor Virtualization for Broadband Grid Computing." In 2011 12th IEEE/ACM International Conference on Grid Computing (GRID). IEEE, 2011. http://dx.doi.org/10.1109/grid.2011.27.

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Meoni, Marco. "Beyond Batch Computing on the WLCG Grid." In 2011 12th IEEE/ACM International Conference on Grid Computing (GRID). IEEE, 2011. http://dx.doi.org/10.1109/grid.2011.34.

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Reports on the topic "Grid computing"

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Steven Crumb. Grid Computing Education Support. Office of Scientific and Technical Information (OSTI), January 2008. http://dx.doi.org/10.2172/922233.

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Earl, Charles. Insightful Workflow For Grid Computing. Office of Scientific and Technical Information (OSTI), October 2008. http://dx.doi.org/10.2172/941421.

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Ross, Virginia W., and Scott E. Spetka. Grid Computing for High Performance Computing (HPC) Data Centers. Fort Belvoir, VA: Defense Technical Information Center, March 2007. http://dx.doi.org/10.21236/ada466685.

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Rene, Schubert. Computing the Meridional Overturning Circulation from NEMO Output. GEOMAR, November 2021. http://dx.doi.org/10.3289/sw_3_2021.

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With this script, the Meridional Overturning Circulation (MOC) can be computed from NEMO ocean-model output for the whole globe or the Atlantic (AMOC), Indic (IMOC) and Pacific (PMOC) subbasins. The MOC is computable in z- and sigma coordinates. Moreover, for nested configurations, it is possible to combine data from both host and nest grids. Finally, it is possible to take into account of that the ORCA model grid is curvilinear north of 20°N: it is possible to compute the northward velocity component from the velocity field in x- and y- directions and to sum up the meridional flux over latitudional bands instead of in x-direction. When both steps are applied, the resulting MOC shows however strong variability in meridional direction. It needs to be clarified, whether this is realistic or not. The software is provided in the form of the jupyter notebook "MOC.ipynb" which includes more informations on the possibilites of the computations and an extensive appendix section with comparisons to computations with cdftools, as well as with details on the computation of the MOC including nest data and taking the curvilinearity of the grid into account. Necessary python modules are listed at the beginning of the document.
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Rana, Abhishek S. A Globally Distributed Grid Monitoring System to Facilitate High-Performance Computing at D0/SAM-Grid. Office of Scientific and Technical Information (OSTI), January 2002. http://dx.doi.org/10.2172/1421666.

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Harenberg, Torsten. AMANDA and D0 as a Test Environment for the LHC Computing Grid. Office of Scientific and Technical Information (OSTI), August 2005. http://dx.doi.org/10.2172/1369275.

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Harenberg, Torsten. AMANDA and D0 as a test environment for the LHC computing grid. Office of Scientific and Technical Information (OSTI), August 2005. http://dx.doi.org/10.2172/1155689.

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Woodruff, David L., and Jean-Paul Watson. Computing confidence intervals on solution costs for stochastic grid generation expansion problems. Office of Scientific and Technical Information (OSTI), December 2010. http://dx.doi.org/10.2172/1011614.

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Boutigny, Dominique. Use of the European Data Grid Software in the Framework of the BABAR Distributed Computing Model. Office of Scientific and Technical Information (OSTI), June 2003. http://dx.doi.org/10.2172/813350.

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Mehrotra, Sanjay. Final Technical Report: Sparse Grid Scenario Generation and Interior Algorithms for Stochastic Optimization in a Parallel Computing Environment. Office of Scientific and Technical Information (OSTI), September 2016. http://dx.doi.org/10.2172/1321178.

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