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1

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

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2

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 identifica
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3

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 configurati
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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 fun
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5

Wang, Lizhe. "Virtual environments for Grid computing." Karlsruhe : Universitätsverlag, 2008. http://digbib.ubka.uni-karlsruhe.de/volltexte/1000009892.

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6

Constantinescu-Fuløp, Zoran. "A Desktop Grid Computing Approach for Scientific Computing and Visualization." Doctoral thesis, Norwegian University of Science and Technology, Faculty of Information Technology, Mathematics and Electrical Engineering, 2008. http://urn.kb.se/resolve?urn=urn:nbn:no:ntnu:diva-2191.

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<p>Scientific Computing is the collection of tools, techniques, and theories required to solve on a computer, mathematical models of problems from science and engineering, and its main goal is to gain insight in such problems. Generally, it is difficult to understand or communicate information from complex or large datasets generated by Scientific Computing methods and techniques (computational simulations, complex experiments, observational instruments etc.). Therefore, support of Scientific Visualization is needed, to provide the techniques, algorithms, and software tools needed to extract a
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7

Burgess, David A. "Parallel computing for unstructured mesh algorithms." Thesis, University of Oxford, 1996. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.318758.

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8

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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<p>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.</p><p>This thesis starts by examining
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9

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
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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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11

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.<br>Includes bibliographical references (leaves 84-86).<br>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 comput
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12

Alfawair, Mai. "A framework for evolving grid computing systems." Thesis, De Montfort University, 2009. http://hdl.handle.net/2086/3423.

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Grid computing was born in the 1990s, when researchers were looking for a way to share expensive computing resources and experiment equipment. Grid computing is becoming increasingly popular because it promotes the sharing of distributed resources that may be heterogeneous in nature, and it enables scientists and engineering professionals to solve large scale computing problems. In reality, there are already huge numbers of grid computing facilities distributed around the world, each one having been created to serve a particular group of scientists such as weather forecasters, or a group of us
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13

Stewart, Sean. "Deploying a CMS Tier-3 Computing Cluster with Grid-enabled Computing Infrastructure." FIU Digital Commons, 2016. http://digitalcommons.fiu.edu/etd/2564.

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The Large Hadron Collider (LHC), whose experiments include the Compact Muon Solenoid (CMS), produces over 30 million gigabytes of data annually, and implements a distributed computing architecture—a tiered hierarchy, from Tier-0 through Tier-3—in order to process and store all of this data. Out of all of the computing tiers, Tier-3 clusters allow scientists the most freedom and flexibility to perform their analyses of LHC data. Tier-3 clusters also provide local services such as login and storage services, provide a means to locally host and analyze LHC data, and allow both remote and local us
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14

Belli, Stefano. "Tecniche di resource discovery nel grid computing." Bachelor's thesis, Alma Mater Studiorum - Università di Bologna, 2015. http://amslaurea.unibo.it/9528/.

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In questa tesi vengono analizzate le principali tecniche di Resource Discovery in uso nei sistemi di Grid Computing, valutando i principali vantaggi e svantaggi di ogni soluzione. Particolare attenzione verrà riposta sul Resource Discovery ad Agenti, che si propone come architettura capace di risolvere in maniera definitiva i classici problemi di queste reti. All'interno dell'elaborato, inoltre, ogni tecnica presentata verrà arricchita con una sua implementazione pratica: tra queste, ricordiamo MDS, Chord e l'implementazione Kang.
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Kaya, Ozgur. "Efficient Scheduling In Distributed Computing On Grid." Master's thesis, METU, 2006. http://etd.lib.metu.edu.tr/upload/12607928/index.pdf.

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Today many computing resources distributed geographically are idle much of time. The aim of the grid computing is collecting these resources into a single system. It helps to solve problems that are too complex for a single PC. Scheduling plays a critical role in the efficient and effective management of resources to achieve high performance on grid computing environment. Due to the heterogeneity and highly dynamic nature of grid, developing scheduling algorithms for grid computing involves some challenges. In this work, we concentrate on efficient scheduling of distributed tasks on grid. We p
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Popuri, Vamsi. "Intrusion detection for grid and cloud computing." Thesis, Linköpings universitet, Institutionen för systemteknik, 2011. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-70364.

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In today’s life providing security has become more cumbersome because of all the malicious possibilities in data transmission, so we need a system which makes data transmission more secure beyond encryption, passwords and digital signatures. The system that we are discussing in this thesis is an Intrusion Detection System, which is a platform that provides security in the distributed systems.   This paper also attempts to explain the drawbacks in conventional system designs, which results in low performance due to network congestion and less data efficiency. We consider cloud and grid computin
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17

Wang, Lizhe [Verfasser]. "Virtual environments for grid computing / Lizhe Wang." Karlsruhe : KIT Scientific Publishing, 2009. http://www.ksp.kit.edu.

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18

Smith, Andrew Cameron. "LHCb data management on the computing grid." Thesis, University of Edinburgh, 2009. http://hdl.handle.net/1842/3018.

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The LHCb detector is one of the four experiments being built to harness the proton-proton collisions provided by the Large Hadron Collider (LHC) at the European Organisation for Nuclear Research (CERN). The data rate expected, when the LHC experiments are fully operational, eclipses that of any previous scientific experiments and has motivated the adoption of a grid computing paradigm to store and process the data. Managing PetaBytes of data in a distributed environment provides a rich set of challenges related to scalability, reliability and performance. This thesis will present the data mana
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19

Cao, Junwei. "Agent-based resource management for grid computing." Thesis, University of Warwick, 2001. http://wrap.warwick.ac.uk/4172/.

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A computational grid is a hardware and software infrastructure that provides dependable, consistent, pervasive, and inexpensive access to high-end computational capability. An ideal grid environment should provide access to the available resources in a seamless manner. Resource management is an important infrastructural component of a grid computing environment. The overall aim of resource management is to efficiently schedule applications that need to utilise the available resources in the grid environment. Such goals within the high performance community will rely on accurate performance pre
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Killian, Rudi. "Dynamic superscalar grid for technical debt reduction." Thesis, Cape Peninsula University of Technology, 2018. http://hdl.handle.net/20.500.11838/2726.

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Thesis (MTech (Information Technology))--Cape Peninsula University of Technology, 2018.<br>Organizations and the private individual, look to technology advancements to increase their ability to make informed decisions. The motivation for technology adoption by entities sprouting from an innate need for value generation. The technology currently heralded as the future platform to facilitate value addition, is popularly termed cloud computing. The move to cloud computing however, may conceivably increase the obsolescence cycle for currently retained Information Technology (IT) assets. The term o
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21

Cardenas, Baron Yonny. "Grid caching : specification and implementation of collaborative cache services for grid computing." Lyon, INSA, 2007. http://theses.insa-lyon.fr/publication/2007ISAL0107/these.pdf.

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This thesis proposes an approach for the design and implementation of collaborative cache systems in grids that supports capabilities for monitoring and controlling cache interactions. Our approach permits to compose and evaluate high-level collaborative cache functions in a flexible way. Our proposal is based on a multilayer model that defines the main functions of a collaborative grid cache system. This model and the provided specification are used to build a flexible and generic software infrastructure for the operation and control of collaborative caches. This infrastructure is composed of
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Cardenas, Baron Yonni Brunie Lionel Pierson Jean-Marc. "Grid caching specification and implementation of collaborative cache services for grid computing /." Villeurbanne : Doc'INSA, 2008. http://docinsa.insa-lyon.fr/these/pont.php?id=cardenas_baron.

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23

In, Jang-Uk. "Efficient scheduling techniques and systems for grid computing." [Gainesville, Fla.] : University of Florida, 2006. http://purl.fcla.edu/fcla/etd/UFE0013834.

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24

Cederström, Andreas. "On using Desktop Grid Computing in software industry." Thesis, Blekinge Tekniska Högskola, Sektionen för datavetenskap och kommunikation, 2010. http://urn.kb.se/resolve?urn=urn:nbn:se:bth-5800.

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Context. When dealing with large data sets and heavy calculations the common solution is clusters, supercomputers or Grids of these two. However, there are ways of gaining large computational power by utilizing the unused cycles of regular home or office computers, this are referred to as Desktop Grids. Objectives. In this study we review the current field of solutions for open source Desktop Grid computing capable of dealing with a heterogeneous set of clients and dynamic size of the Desktop Grid. We investigate current use, interest of use and priority of key attributes of Desktop Grids. Fin
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Andrade, Jorge. "Grid and High-Performance Computing for Applied Bioinformatics." Doctoral thesis, Stockholm : Bioteknologi, Kungliga Tekniska högskolan, 2007. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-4573.

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26

Bsoul, Mohammad. "Economic scheduling in Grid computing using Tender models." Thesis, Loughborough University, 2007. https://dspace.lboro.ac.uk/2134/3094.

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Economic scheduling needs to be considered for Grid computing environment, because it gives an incentive for resource providers to supply their resources. Moreover, it enforces efficient use of resources, because the users have to pay for their use. Tendering is a suitable model for Grid scheduling because users start the negotiations for finding suitable resources for executing their jobs. Furthermore, the users specify their job requirements with their requests and therefore the resources reply with bids that are based on the cost of taking on the job and the availability of their processors
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27

Paterson, Stuart Keble. "LHCb distributed data analysis on the computing grid." Thesis, University of Glasgow, 2006. http://theses.gla.ac.uk/1077/.

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LHCb is one of the four Large Hadron Collider (LHC) experiments based at CERN, the European Organisation for Nuclear Research. The LHC experiments will start taking an unprecedented amount of data when they come online in 2007. Since no single institute has the compute resources to handle this data, resources must be pooled to form the Grid. Where the Internet has made it possible to share information stored on computers across the world, Grid computing aims to provide access to computing power and storage capacity on geographically distributed systems. LHCb software applications must work sea
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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 org
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Omar, Wail M. "Self-management middleware services for autonomic grid computing." Thesis, Liverpool John Moores University, 2006. http://researchonline.ljmu.ac.uk/5784/.

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Van, Le. "Gridsec : une architecture sécurisée pour le grid computing." Besançon, 2003. http://www.theses.fr/2003BESA2028.

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Les grilles de calcul se développent de plus en plus et sont de plus en plus puissantes. Ce concept est utilisé aussi bien pour des calculs intensifs que pour l'exécution d'applications à grance échelle. L'accès aux ressources ne doit pas être limité par l'hétérogénéité des machines et des réseaux interconnectés. Les données qui traversent ces nombreux réseaux doivent être sécurisées. Dans ce document, nous présentons GRIDSec, une architecture sécurisée permettant d'identifier et d'authentifier un site auprès des autres, sans pour autant entraver l'autorité des entités locales. GRIDSec se base
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MANCA, EMANUELE. "Grid and high performance computing applied to bioinformatics." Doctoral thesis, Università degli Studi di Cagliari, 2015. http://hdl.handle.net/11584/266595.

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Recent advances in genome sequencing technologies and modern biological data analysis technologies used in bioinformatics have led to a fast and continuous increase in biological data. The difficulty of managing the huge amounts of data currently available to researchers and the need to have results within a reasonable time have led to the use of distributed and parallel computing infrastructures for their analysis. In this context Grid computing has been successfully used. Grid computing is based on a distributed system which interconnects several computers and/or clusters to access gl
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Cooper, Andrew. "Towards a trusted grid architecture." Thesis, University of Oxford, 2010. http://ora.ox.ac.uk/objects/uuid:42268964-c1db-4599-9dbc-a1ceb1015ef1.

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The malicious host problem is challenging in distributed systems such as grids and clouds. Rival organisations may share the same physical infrastructure. Administrators might deliberately or accidentally compromise users' data. The thesis concerns the development of a security architecture that allows users to place a high degree of trust in remote systems to process their data securely. The problem is tackled through a new security layer that ensures users' data can only be accessed within a trusted execution environment. Access to encrypted programs and data is authorised by a key managemen
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Lindner, Peggy. "Management von verteilten ingenieurwissenschaftlichen Anwendungen in heterogenen Grid Umgebungen." [S.l. : s.n.], 2007. http://nbn-resolving.de/urn:nbn:de:bsz:93-opus-32412.

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34

Surapaneni, Chandra Sekhar Medhi Deepankar. "Dynamically organized and scalable virtual organizations in Grid computing." Diss., UMK access, 2005.

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Thesis (M.S.)--School of Computing and Engineering. University of Missouri--Kansas City, 2005.<br>"A thesis in computer science." Typescript. Advisor: Deepankar Medhi. Vita. Title from "catalog record" of the print edition Description based on contents viewed March 12, 2007. Includes bibliographical references (leaves 85-87). Online version of the print edition.
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Shah, ShairBaz. "Using P2P approach for resource discovery in Grid Computing." Thesis, Blekinge Tekniska Högskola, Avdelningen för för interaktion och systemdesign, 2007. http://urn.kb.se/resolve?urn=urn:nbn:se:bth-3088.

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One of the fundamental requirements of Grid computing is efficient and effective resource discovery mechanism. Resource discovery involves discovery of appropriate resources required by user applications. In this regard various resource discovery mechanisms have been proposed during the recent years. These mechanisms range from centralized to hierarchical information servers approach. Most of the techniques developed based on these approaches have scalability and fault tolerance limitations. To overcome these limitations Peer to Peer based discovery mechanisms are proposed.<br>shairbaz@gmail.c
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Min, Rui. "Scheduling advance reservations with priorities in Grid computing systems." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 2001. http://www.collectionscanada.ca/obj/s4/f2/dsk3/ftp04/MQ62798.pdf.

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Tang, Jia. "An agent-based peer-to-peer grid computing architecture." Access electronically, 2005. http://www.library.uow.edu.au/adt-NWU/public/adt-NWU20060508.151716/index.html.

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Tian, Hongfei 1979. "Grid computing as an integrating force in virtual enterprises." Thesis, Massachusetts Institute of Technology, 2003. http://hdl.handle.net/1721.1/85742.

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Phalke, Vidyadhar 1968. "Strategies for managing business disruption due to grid computing." Thesis, Massachusetts Institute of Technology, 2003. http://hdl.handle.net/1721.1/16998.

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Thesis (S.M.M.O.T.)--Massachusetts Institute of Technology, Sloan School of Management, Management of Technology Program, 2003.<br>Includes bibliographical references (leaves 44-45).<br>This electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections.<br>In the technology centric businesses disruptive technologies displace incumbents time and again, sometimes to the extent that incumbents go bankrupt. In this thesis we would address the issue of what strategies are essential to prepare for and to manage disruption
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Abraham, G. T. "Group-based parallel multi-scheduling methods for grid computing." Thesis, Coventry University, 2016. http://curve.coventry.ac.uk/open/items/9e286ae2-da74-42c9-978b-65d5eb3e3857/1.

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With the advent in multicore computers, the scheduling of Grid jobs can be made more effective if scaled to fully utilize the underlying hardware and parallelized to benefit from the exploitation of multicores. The fact that sequential algorithms do not scale with multicore systems nor benefit from parallelism remains a major challenge to scheduling in the Grid. As multicore systems become ever more pervasive in our computing lives, over reliance on such systems for passive parallelism does not offer the best option in harnessing the benefits of their multiprocessors for Grid scheduling. An ex
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Lorch, Markus. "PRIMA - Privilege Management and Authorization in Grid Computing Environments." Diss., Virginia Tech, 2004. http://hdl.handle.net/10919/26995.

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Computational grids and other heterogeneous, large-scale distributed systems require more powerful and more flexible authorization mechanisms to realize fine-grained access-control of resources. Computational grids are increasingly used for collaborative problem-solving and advanced science and engineering applications. Usage scenarios for advanced grids require support for small, dynamic working groups, direct delegation of access privileges among users, procedures for establishing trust relationships without requiring organizational level agreements, precise management by individuals of thei
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Luo, Xubin. "Wavelength Division Multiplexing Optical Networks for Supporting Grid Computing." Wright State University / OhioLINK, 2008. http://rave.ohiolink.edu/etdc/view?acc_num=wright1221753325.

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Afzal, Ali. "Capacity planning and stochastic scheduling in grid computing environments." Thesis, Imperial College London, 2007. http://hdl.handle.net/10044/1/11503.

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Srivatsan, Siddhartha Eluppai. "Integrating heterogeneous computing resources to form a campus grid." [Gainesville, Fla.] : University of Florida, 2009. http://purl.fcla.edu/fcla/etd/UFE0024690.

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Alsoghayer, Raid Abdullah. "Risk assessment models for resource failure in grid computing." Thesis, University of Leeds, 2011. http://etheses.whiterose.ac.uk/1909/.

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Service Level Agreements (SLAs) are introduced in order to overcome the limitations associated with the best-effort approach in Grid computing, and to accordingly make Grid computing more attractive for commercial uses. However, commercial Grid providers are not keen to adopt SLAs since there is a risk of SLA violation as a result of resource failure, which will result in a penalty fee; therefore, the need to model the resources risk of failure is critical to Grid resource providers. Essentially, moving from the best-effort approach for accepting SLAs to a risk-aware approach assists the Grid
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Rashid, Md Mamunur. "Non-grid opportunistic resources for (big data) volunteer computing." Thesis, University of Kent, 2017. https://kar.kent.ac.uk/61077/.

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CPU-intensive computing at LHC (The Large Hadron Collider) requires collaborative distributed computing resources to accomplish its data reconstruction and analysis. Currently, institutional Grid is trying to manage and process large datasets within limited time and cost. The baseline paradigm is now well established to use the Computing Grid and more specifically the WLCG (Worldwide LHC Computing Grid) and its supporting infrastructures. In order to achieve its Grid Computing, LHCb has developed a Community Grid Solution called DIRAC (Distributed Infrastructure with Remote Agent Control). It
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CRISTOFORI, Andrea. "Grid accounting for computing and storage resources towards standardization." Doctoral thesis, Università degli studi di Ferrara, 2011. http://hdl.handle.net/11392/2389368.

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In the last years, we have seen a growing interest of the scientific community first and commercial vendors then, in new technologies like Grid and Cloud computing. The first in particular, was born to meet the enormous computational requests mostly coming from physic experiments, especially Large Hadron Collider's (LHC) experiments at Conseil Européen pour la Recherche Nucléaire (European Laboratory for Particle Physics) (CERN) in Geneva. Other scientific disciplines that are also benefiting from those technologies are biology, astronomy, earth sciences, life sciences, etc. Grid systems
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Scholz, Stefan. "Geschäftsmodelle für Grid Computing in der Medizin und der Biomedizin." Lohmar Köln Eul, 2009. http://d-nb.info/1000567591/04.

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Reinicke, Michael. "Dienstauswahlverfahren im Grid /." Göttingen : Sierke, 2007. http://www.gbv.de/dms/zbw/52764790X.pdf.

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Sandholm, Thomas. "Managing Service Levels in Grid Computing Systems : Quota Policy and Computational Market Approaches." Licentiate thesis, KTH, Numerical Analysis and Computer Science, NADA, 2007. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-4346.

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<p>We study techniques to enforce and provision differentiated service levels in <i>Computational Grid</i> systems. The Grid offers simplified provisioning of peak-capacity for applications with computational requirements beyond local machines and clusters, by sharing resources across organizational boundaries. Current systems have focussed on access control, i.e., managing who is allowed to run applications on remote sites. Very little work has been done on providing differentiated service levels for those applications that are admitted. This leads to a number of problems when scheduling jobs
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