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Dissertations / Theses on the topic 'Autonomic computing'

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1

Furrer, Frank J., and Georg Püschel. "From Algorithmic Computing to Autonomic Computing." Technische Universität Dresden, 2018. https://tud.qucosa.de/id/qucosa%3A30773.

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In algorithmic computing, the program follows a predefined set of rules – the algorithm. The analyst/designer of the program analyzes the intended tasks of the program, defines the rules for its expected behaviour and programs the implementation. The creators of algorithmic software must therefore foresee, identify and implement all possible cases for its behaviour in the future application! However, what if the problem is not fully defined? Or the environment is uncertain? What if situations are too complex to be predicted? Or the environment is changing dynamically? In many such cases algor
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Azzam, Adel R. "Survey of Autonomic Computing and Experiments on JMX-based Autonomic Features." ScholarWorks@UNO, 2016. http://scholarworks.uno.edu/td/2123.

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Autonomic Computing (AC) aims at solving the problem of managing the rapidly-growing complexity of Information Technology systems, by creating self-managing systems. In this thesis, we have surveyed the progress of the AC field, and studied the requirements, models and architectures of AC. The commonly recognized AC requirements are four properties - self-configuring, self-healing, self-optimizing, and self-protecting. The recommended software architecture is the MAPE-K model containing four modules, namely - monitor, analyze, plan and execute, as well as the knowledge repository. In the moder
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Scogland, Thomas R. "Runtime Adaptation for Autonomic Heterogeneous Computing." Diss., Virginia Tech, 2014. http://hdl.handle.net/10919/71315.

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Heterogeneity is increasing across all levels of computing, with the rise of accelerators such as GPUs, FPGAs, and other coprocessors into everything from cell phones to supercomputers. More quietly it is increasing with the rise of NUMA systems, hierarchical caching, OS noise, and a myriad of other factors. As heterogeneity becomes a fact of life, efficiently managing heterogeneous compute resources is becoming a critical, and ever more complex, task. The focus of this dissertation is to lay the foundation for an autonomic system for heterogeneous computing, employing runtime adaptation to im
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4

Dudzik, Stefan Einhorn Jochen Schönleber Tim. "Untersuchung des IBM Autonomic Computing Toolkits." [S.l. : s.n.], 2004. http://www.bsz-bw.de/cgi-bin/xvms.cgi?SWB11730082.

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5

Tunc, Cihan. "Autonomic Cloud Resource Management." Diss., The University of Arizona, 2015. http://hdl.handle.net/10150/347144.

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The power consumption of data centers and cloud systems has increased almost three times between 2007 and 2012. The traditional resource allocation methods are typically designed for high performance as the primary objective to support peak resource requirements. However, it is shown that server utilization is between 12% and 18%, while the power consumption is close to those at peak loads. Hence, there is a pressing need for devising sophisticated resource management approaches. State of the art dynamic resource management schemes typically rely on only a single resource such as core number,
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Jacyno, Mariusz. "Self-organising agent communities for autonomic computing." Thesis, University of Southampton, 2010. https://eprints.soton.ac.uk/143903/.

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Efficient resource management is one of key problems associated with large-scale distributed computational systems. Taking into account their increasing complexity, inherent distribution and dynamism, such systems are required to adjust and adapt resources market that is offered by them at run-time and with minimal cost. However, as observed by major IT vendors such as IBM, SUN or HP, the very nature of such systems prevents any reliable and efficient control over their functioning through human administration. For this reason, autonomic system architectures capable of regulating their own fun
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7

Jararweh, Yaser. "Autonomic Programming Paradigm for High Performance Computing." Diss., The University of Arizona, 2010. http://hdl.handle.net/10150/193527.

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The advances in computing and communication technologies and software tools have resulted in an explosive growth in networked applications and information services that cover all aspects of our life. These services and applications are inherently complex, dynamic and heterogeneous. In a similar way, the underlying information infrastructure, e.g. the Internet, is large, complex, heterogeneous and dynamic, globally aggregating large numbers of independent computing and communication resources. The combination of the two results in application development and management complexities that break c
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8

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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9

Rodrigues, Gabriel Siqueira. "Autonomic goal-driven deployment in heterogeneous computing environments." reponame:Repositório Institucional da UnB, 2016. http://repositorio.unb.br/handle/10482/23185.

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Dissertação (mestrado)—Universidade de Brasília, Instituto de Ciências Exatas, Departamento de Ciência da Computação, 2016.<br>Submitted by Fernanda Percia França (fernandafranca@bce.unb.br) on 2017-03-03T18:16:47Z No. of bitstreams: 1 2016_GabrielSiqueiraRodrigues.pdf: 1418859 bytes, checksum: 2ee51220d6f243fc8432fb73a19952c2 (MD5)<br>Approved for entry into archive by Raquel Viana(raquelviana@bce.unb.br) on 2017-04-04T21:54:40Z (GMT) No. of bitstreams: 1 2016_GabrielSiqueiraRodrigues.pdf: 1418859 bytes, checksum: 2ee51220d6f243fc8432fb73a19952c2 (MD5)<br>Made available in DSpace on 2017-04-
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10

Furrer, Frank J., and Georg Püschel. "Autonomic Computing: State of the Art - Promises - Impact." Technische Universität Dresden, 2016. https://tud.qucosa.de/id/qucosa%3A29925.

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Software has never been as important as today – and its impact on life, work and society is growing at an impressive rate. We are in the flow of a software-induced transformation of nearly all aspects of our way of life and work. The dependence on software has become almost total. Malfunctions and unavailability may threaten vital areas of our society, life and work at any time. The two massive challenges of software are one hand the complexity of the software and on the other hand the disruptive environment. Complexity of the software is a result of the size, the continuously growing functi
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11

Giordano, Manfredi. "Autonomic Big Data Processing." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2017. http://amslaurea.unibo.it/14837/.

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Apache Spark è un framework open source per la computazione distribuita su larga scala, caratterizzato da un engine in-memory che permette prestazioni superiori a soluzioni concorrenti nell’elaborazione di dati a riposo (batch) o in movimento (streaming). In questo lavoro presenteremo alcune tecniche progettate e implementate per migliorare l’elasticità e l’adattabilità del framework rispetto a modifiche dinamiche nell’ambiente di esecuzione o nel workload. Lo scopo primario di tali tecniche è di permettere ad applicazioni concorrenti di condividere le risorse fisiche disponibili nell’infrast
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Mousa, Alzawi Mohamed. "Autonomic computing : using adaptive neural network in self-healing systems." Thesis, Liverpool John Moores University, 2012. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.571894.

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Self-management is the main objective of Autonomic Computing (AC), and it is needed to increase the running system's reliability, stability, and performance. Investigation some issues related to complex systems such as; self-awareness system, when and where an error state occurs, knowledge for system stabilization, analyze the problem, healing plan with different solutions for adaptation without the need for human intervention. This research work focuses on self-healing, which is the most important component of Autonomic Computing. Self-healing is a technique that has different phases, which a
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13

Tziallas, Grigorious. "A framework for building self-adaptive and autonomic computing systems." Thesis, University of Manchester, 2004. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.680105.

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14

Akour, Mohammed Abd Alwahab. "Towards Change Propagating Test Models In Autonomic and Adaptive Systems." Diss., North Dakota State University, 2012. https://hdl.handle.net/10365/26504.

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The major motivation for self-adaptive computing systems is the self-adjustment of the software according to a changing environment. Adaptive computing systems can add, remove, and replace their own components in response to changes in the system itself and in the operating environment of a software system. Although these systems may provide a certain degree of confidence against new environments, their structural and behavioral changes should be validated after adaptation occurs at runtime. Testing dynamically adaptive systems is extremely challenging because both the structure and behavio
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Zhang, Ziming. "Adaptive Power Management for Autonomic Resource Configuration in Large-scale Computer Systems." Thesis, University of North Texas, 2015. https://digital.library.unt.edu/ark:/67531/metadc804939/.

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In order to run and manage resource-intensive high-performance applications, large-scale computing and storage platforms have been evolving rapidly in various domains in both academia and industry. The energy expenditure consumed to operate and maintain these cloud computing infrastructures is a major factor to influence the overall profit and efficiency for most cloud service providers. Moreover, considering the mitigation of environmental damage from excessive carbon dioxide emission, the amount of power consumed by enterprise-scale data centers should be constrained for protection of the en
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Maiden, Wendy Marie. "Dualtrust a trust management model for swarm-based autonomic computing systems /." Pullman, Wash. : Washington State University, 2010. http://www.dissertations.wsu.edu/Thesis/Spring2010/W_Maiden_6041310.pdf.

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Thesis (M.A. in electrical engineering and computer science)--Washington State University, May 2010.<br>Title from PDF title page (viewed on May 3, 2010). "Department of Electrical Engineering and Computer Science." Includes bibliographical references (p. 110-117).
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17

Lanfermann, Gerd. "Nomadic migration a service environment for autonomic computing on the Grid /." [S.l. : s.n.], 2003. http://pub.ub.uni-potsdam.de/2003/0018/lanferm.pdf.

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18

Lanfermann, Gerd. "Nomadic migration : a service environment for autonomic computing on the Grid." Phd thesis, Universität Potsdam, 2002. http://opus.kobv.de/ubp/volltexte/2005/81/.

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In den vergangenen Jahren ist es zu einer dramatischen Vervielfachung der verfügbaren Rechenzeit gekommen. Diese 'Grid Ressourcen' stehen jedoch nicht als kontinuierlicher Strom zur Verfügung, sondern sind über verschiedene Maschinentypen, Plattformen und Betriebssysteme verteilt, die jeweils durch Netzwerke mit fluktuierender Bandbreite verbunden sind. <br /> Es wird für Wissenschaftler zunehmend schwieriger, die verfügbaren Ressourcen für ihre Anwendungen zu nutzen. Wir glauben, dass intelligente, selbstbestimmende Applikationen in der Lage sein sollten, ihre Ressourcen in einer dynamischen
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19

Guan, Qiang. "Autonomic Failure Identification and Diagnosis for Building Dependable Cloud Computing Systems." Thesis, University of North Texas, 2014. https://digital.library.unt.edu/ark:/67531/metadc499993/.

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The increasingly popular cloud-computing paradigm provides on-demand access to computing and storage with the appearance of unlimited resources. Users are given access to a variety of data and software utilities to manage their work. Users rent virtual resources and pay for only what they use. In spite of the many benefits that cloud computing promises, the lack of dependability in shared virtualized infrastructures is a major obstacle for its wider adoption, especially for mission-critical applications. Virtualization and multi-tenancy increase system complexity and dynamicity. They introduce
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20

Cetina, Englada Carlos. "Achieving Autonomic Computing through the Use of Variability Models at Run-time." Doctoral thesis, Universitat Politècnica de València, 2010. http://hdl.handle.net/10251/7484.

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Increasingly, software needs to dynamically adapt its behavior at run-time in response to changing conditions in the supporting computing infrastructure and in the surrounding physical environment. Adaptability is emerging as a necessary underlying capability, particularly for highly dynamic systems such as context-aware or ubiquitous systems. By automating tasks such as installation, adaptation, or healing, Autonomic Computing envisions computing environments that evolve without the need for human intervention. Even though there is a fair amount of work on architectures and their theo
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21

Cox, Donald Patrick. "THE APPLICATION OF AUTONOMIC COMPUTING FOR THE PROTECTION OF INDUSTRIAL CONTROL SYSTEMS." Diss., The University of Arizona, 2011. http://hdl.handle.net/10150/202691.

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Critical infrastructures are defined as the basic facilities, services and utilities needed to support the functioning of society. For over three-thousand years, civil engineers have built these infrastructures to ensure that needed services and products are available to make mankind more comfortable, secure and productive. Modern infrastructure control systems are vulnerable to disruption from natural disaster, accident, negligent operation and intentional cyber assaults from malicious agents. Many critical processes within our infrastructures are continuous (e.g., electric power, etc.) and c
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22

Fuad, Mohammad Muztaba. "An autonomic software architecture for distributed applications." Diss., Montana State University, 2007. http://etd.lib.montana.edu/etd/2007/fuad/FuadM0807.pdf.

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23

Nakrani, Sunil. "Biomimetic and autonomic server ensemble orchestration." Thesis, University of Oxford, 2005. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.534214.

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This thesis addresses orchestration of servers amongst multiple co-hosted internet services such as e-Banking, e-Auction and e-Retail in hosting centres. The hosting paradigm entails levying fees for hosting third party internet services on servers at guaranteed levels of service performance. The orchestration of server ensemble in hosting centres is considered in the context of maximising the hosting centre's revenue over a lengthy time horizon. The inspiration for the server orchestration approach proposed in this thesis is drawn from nature and generally classed as swarm intelligence, speci
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24

Hadded, Leila. "Optimization of autonomic resources for the management of service-based business processes in the Cloud." Thesis, Université Paris-Saclay (ComUE), 2018. http://www.theses.fr/2018SACLL006/document.

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Le Cloud Computing est un nouveau paradigme qui fournit des ressources informatiques sous forme de services à la demande via internet fondé sur le modèle de facturation pay-per-use. Il est de plus en plus utilisé pour le déploiement et l’exécution des processus métier en général et des processus métier à base de services (SBPs) en particulier. Les environnements cloud sont généralement très dynamiques. À cet effet, il devient indispensable de s’appuyer sur des agents intelligents appelés gestionnaires autonomiques (AMs), qui permettent de rendre les SBPs capables de se gérer de façon autonome
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Thompson, Ruth. "Viable computing systems : a set theory decomposition of Anthony Stafford Beer's viable system model : aspirant of surpassing autonomic computing." Thesis, Liverpool John Moores University, 2011. http://researchonline.ljmu.ac.uk/6016/.

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26

Bruhn, Jens. "A realistic approach for the autonomic management of component-based enterprise systems." Bamberg Univ. of Bamberg Press, 2009. http://d-nb.info/997444517/34.

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Leite, Alessandro Ferreira. "A user-centered and autonomic multi-cloud architecture for high performance computing applications." reponame:Repositório Institucional da UnB, 2014. http://repositorio.unb.br/handle/10482/18262.

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Tese (doutorado)—Universidade de Brasília, Instituto de Ciências Exatas, Departamento de Ciência da Computação, 2014.<br>Submitted by Ana Cristina Barbosa da Silva (annabds@hotmail.com) on 2015-05-25T14:38:06Z No. of bitstreams: 1 2014_AlessandroFerreiraLeite.pdf: 9950238 bytes, checksum: 5899f0fba30e3075ce700c4440d984f9 (MD5)<br>Approved for entry into archive by Guimaraes Jacqueline(jacqueline.guimaraes@bce.unb.br) on 2015-05-25T15:49:14Z (GMT) No. of bitstreams: 1 2014_AlessandroFerreiraLeite.pdf: 9950238 bytes, checksum: 5899f0fba30e3075ce700c4440d984f9 (MD5)<br>Made available in DSpace on
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Ferreira, Leite Alessandro. "A user-centered and autonomic multi-cloud architecture for high performance computing applications." Thesis, Paris 11, 2014. http://www.theses.fr/2014PA112355/document.

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Le cloud computing a été considéré comme une option pour exécuter des applications de calcul haute performance. Bien que les plateformes traditionnelles de calcul haute performance telles que les grilles et les supercalculateurs offrent un environnement stable du point de vue des défaillances, des performances, et de la taille des ressources, le cloud computing offre des ressources à la demande, généralement avec des performances imprévisibles mais à des coûts financiers abordables. Pour surmonter les limites d’un cloud individuel, plusieurs clouds peuvent être combinés pour former une fédérat
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Zhu, Jiedan. "An Autonomic Framework Supporting Task Consolidation and Migration in the Cloud Environment." The Ohio State University, 2011. http://rave.ohiolink.edu/etdc/view?acc_num=osu1310758418.

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30

Ljungdahl, Emil, and Erik Andersson. "Design of an autonomic system for IP-network environments." Thesis, Karlstad University, Faculty of Economic Sciences, Communication and IT, 2009. http://urn.kb.se/resolve?urn=urn:nbn:se:kau:diva-3331.

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<p>A2B Electronics AB is a company that develops and manufactures products and technology for digital cable television. A2B's new EXM-product family translates digital television channels from multiple source networks into a single destination network. Multiple EXM-units are connected in a system to provide a custom set of TV channels. To minimize the administrative effort, the units in a system should be able to interact and collaborate without manual intervention. The purpose of this thesis is to propose an underlying system that supports seamless interaction and collaboration between units.
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31

Feller, Eugen. "Autonomic and Energy-Efficient Management of Large-Scale Virtualized Data Centers." Phd thesis, Université Rennes 1, 2012. http://tel.archives-ouvertes.fr/tel-00785090.

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Large-scale virtualized data centers require cloud providers to implement scalable, autonomic, and energy-efficient cloud management systems. To address these challenges this thesis provides four main contributions. The first one proposes Snooze, a novel Infrastructure-as-a-Service (IaaS) cloud management system, which is designed to scale across many thousands of servers and virtual machines (VMs) while being easy to configure, highly available, and energy efficient. For scalability, Snooze performs distributed VM management based on a hierarchical architecture. To support ease of configurati
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32

Günalp, Ozan Necati. "Continuous deployment of pervasive applications in dynamic environments." Thesis, Grenoble, 2014. http://www.theses.fr/2014GRENM052/document.

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L'émergence des nouveaux types d'environnements informatiques amplifie le besoin pour des systèmes logiciels d'être capables d'évoluer dynamiquement. Cependant, ces systèmes rendent très difficile le déploiement de logiciels en utilisant des processus humains. Il y a donc un besoin croissant d'outils d'automatisation qui permettent de déployer et reconfigurer des systèmes logiciels sans en interrompre l'exécution. Le processus de déploiement continu et automatisé permet de mettre à jour ou d'adapter un logiciel en exécution en fonction des changements contextuels et des exigences opérationnell
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Mohamed, Mohamed. "Generic monitoring and reconfiguration for service-based applications in the cloud." Thesis, Evry, Institut national des télécommunications, 2014. http://www.theses.fr/2014TELE0025/document.

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Le Cloud Computing est un paradigme émergent dans les technologies de l'information. L'un de ses atouts majeurs étant la mise à disposition des ressources fondée sur le modèle pay-as-you-go. Les ressources Cloud se situent dans un environnement très dynamique. Cependant, chaque ressource provisionnée offre des services fonctionnels et peut ne pas offrir des services non fonctionnels tels que la supervision, la reconfiguration, la sécurité, etc. Dans un tel environnement dynamique, les services non fonctionnels ont une importance critique pour le maintien du niveau de service des ressources ain
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Fargo, Farah Emad. "Resilient Cloud Computing and Services." Diss., The University of Arizona, 2015. http://hdl.handle.net/10150/347137.

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Cloud Computing is emerging as a new paradigm that aims at delivering computing as a utility. For the cloud computing paradigm to be fully adopted and effectively used it is critical that the security mechanisms are robust and resilient to malicious faults and attacks. Securing cloud is a challenging research problem because it suffers from current cybersecurity problems in computer networks and data centers and additional complexity introduced by virtualizations, multi-tenant occupancy, remote storage, and cloud management. It is widely accepted that we cannot build software and computing sys
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Tauber, Markus. "Autonomic management in a distributed storage system." Thesis, St Andrews, 2010. http://hdl.handle.net/10023/926.

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Franco, Theo Ferreira. "Uma arquitetura baseada em políticas para o provimento de QoS utilizando princípios de Autonomic Computing." reponame:Biblioteca Digital de Teses e Dissertações da UFRGS, 2008. http://hdl.handle.net/10183/14781.

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Sistemas corporativos modernos cada vez mais dependentes da rede e a integração de serviços entorno do modelo TCP/IP elevam a exigência de Qualidade de Serviço da infraestrutura de TI. Neste cenário, o dinamismo das redes atuais em conjunto com os novos requisitos de QoS exigem que a infra-estrutura de TI seja mais autônoma e confiável. Para tratar esta questão, o modelo de Gerenciamento de Redes Baseado em Políticas, proposto pelo IETF, vem se consolidando como uma abordagem para controlar o comportamento da rede através do controle das configurações dos seus dispositivos. Porém, o foco deste
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Wang, Mianyu Kam Moshe Kandasamy Nagarajan. "A decentralized control and optimization framework for autonomic performance management of web-server systems /." Philadelphia, Pa. : Drexel University, 2007. http://hdl.handle.net/1860/2643.

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Sun, Jingbo. "An autonomic communication framework for wireless sensor networks." University of Western Australia. School of Computer Science and Software Engineering, 2009. http://theses.library.uwa.edu.au/adt-WU2009.0087.

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Sensor networks use a group of collaborating sensor nodes to collect information about real world phenomena. Sensor nodes use low-power short-range radio links to communicate with each other. Communication between sensor nodes shows significant variation over time and space. This can lead to unreliable and unpredictable network performance. These dynamic and lossy characteristics of wireless links pose major challenges for building reliable sensor networks and raise new issues that data delivery protocols must address. This thesis addresses the problems of designing protocols to overcome time-
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Lerner, Lee Wilmoth. "Trustworthy Embedded Computing for Cyber-Physical Control." Diss., Virginia Tech, 2015. http://hdl.handle.net/10919/51545.

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A cyber-physical controller (CPC) uses computing to control a physical process. Example CPCs can be found in self-driving automobiles, unmanned aerial vehicles, and other autonomous systems. They are also used in large-scale industrial control systems (ICSs) manufacturing and utility infrastructure. CPC operations rely on embedded systems having real-time, high-assurance interactions with physical processes. However, recent attacks like Stuxnet have demonstrated that CPC malware is not restricted to networks and general-purpose computers, rather embedded components are targeted as well. G
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El, Rheddane Ahmed. "Elasticité dans le cloud computing." Thesis, Université Grenoble Alpes (ComUE), 2015. http://www.theses.fr/2015GRENM003/document.

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Les charges réelles d'applications sont souvent dynamiques. Ainsi, le dimensionnement statique de ressources est voué soit au gaspillage, s'il est basé sur une estimation du pire scénario, soit à la dégradation de performance, s'il est basé sur la charge moyenne. Grâce au modèle du cloud computing, les ressources peuvent être allouées à la demande et le dimensionnement adapté à la variation de la charge. Cependant, après avoir exploré les travaux existants, nous avons trouvé que la plupart des outils d'élasticité sont trop génériques et ne parviennent pas à répondre aux besoins spécifiques d'a
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Khargharia, Bithika. "Adaptive Power and Performance Management of Computing Systems." Diss., The University of Arizona, 2008. http://hdl.handle.net/10150/193653.

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With the rapid growth of servers and applications spurred by the Internet economy, power consumption in today's data centers is reaching unsustainable limits. This has led to an imminent financial, technical and environmental crisis that is impacting the society at large. Hence, it has become critically important that power consumption be efficiently managed in these computing power-houses of today. In this work, we revisit the issue of adaptive power and performance management of data center server platforms. Traditional data center servers are statically configured and always over-provision
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Rahman, Hasibur. "Distributed Intelligence-Assisted Autonomic Context-Information Management : A context-based approach to handling vast amounts of heterogeneous IoT data." Doctoral thesis, Stockholms universitet, Institutionen för data- och systemvetenskap, 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:su:diva-149513.

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As an implication of rapid growth in Internet-of-Things (IoT) data, current focus has shifted towards utilizing and analysing the data in order to make sense of the data. The aim of which is to make instantaneous, automated, and informed decisions that will drive the future IoT. This corresponds to extracting and applying knowledge from IoT data which brings both a substantial challenge and high value. Context plays an important role in reaping value from data, and is capable of countering the IoT data challenges. The management of heterogeneous contextualized data is infeasible and insufficie
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Deb, Debzani. "Achieving self-managed deployment in a distributed environment via utility functions." Thesis, Montana State University, 2008. http://etd.lib.montana.edu/etd/2008/deb/DebD0508.pdf.

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This dissertation presents algorithms and mechanisms that enable self-managed, scalable and efficient deployment of large-scale scientific and engineering applications in a highly dynamic and unpredictable distributed environment. Typically these applications are composed of a large number of distributed components and it is important to meet the computational power and network bandwidth requirements of those components and their interactions. However satisfying these requirements in a large-scale, shared, heterogeneous, and highly dynamic distributed environment is a significant challenge. As
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Shi, Benyun. "Computational methods and mechanisms for evaluating and enhancing the robustness of energy distribution systems." HKBU Institutional Repository, 2012. https://repository.hkbu.edu.hk/etd_ra/1408.

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Brake, Nevon. "Recovering software tuning parameters." Thesis, Kingston, Ont. : [s.n.], 2008. http://hdl.handle.net/1974/1302.

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Chen, Huoping. "Self-Configuration Framework for Networked Systems and Applications." Diss., The University of Arizona, 2008. http://hdl.handle.net/10150/195456.

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The increased complexity, heterogeneity and the dynamism of networked systems and applications make current configuration and management tools to be ineffective. A new paradigm to dynamically configure and manage large-scale complex and heterogeneous networked systems is critically needed. In this dissertation, we present a self configuration paradigm based on the principles of autonomic computing that can handle efficiently complexity, dynamism and uncertainty in configuring networked systems and their applications. Our approach is based on making any resource/application to operate as an Aut
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47

Klie, Torsten. "Policy refinement using automatic composition of management web services in a policy based autonomic communications environment." Berlin Logos-Verl, 2008. http://d-nb.info/992551609/04.

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48

Al-Shishtawy, Ahmad. "Enabling and Achieving Self-Management for Large Scale Distributed Systems : Platform and Design Methodology for Self-Management." Licentiate thesis, KTH, Software and Computer Systems, SCS, 2010. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-12377.

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<p>Autonomic computing is a paradigm that aims at reducing administrative overhead by using autonomic managers to make applications self-managing. To better deal with large-scale dynamic environments; and to improve scalability, robustness, and performance; we advocate for distribution of management functions among several cooperative autonomic managers that coordinate their activities in order to achieve management objectives. Programming autonomic management in turn requires programming environment support and higher level abstractions to become feasible.</p><p>In this thesis we present an i
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49

Barrère, Cambrún Martín. "Vulnerability management for safe configurations in autonomic networks and systems." Thesis, Université de Lorraine, 2014. http://www.theses.fr/2014LORR0048/document.

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Le déploiement d'équipements informatiques à large échelle, sur les multiples infrastructures interconnectées de l'Internet, a eu un impact considérable sur la complexité de la tâche de gestion. L'informatique autonome permet de faire face à cet enjeu en spécifiant des objectifs de haut niveau et en déléguant les activités de gestion aux réseaux et systèmes eux-mêmes. Cependant, lorsque des changements sont opérés par les administrateurs ou par les équipements autonomes, des configurations vulnérables peuvent être involontairement introduites. Ces vulnérabilités offrent un point d'entrée pour
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50

Hadded, Leila. "Optimization of autonomic resources for the management of service-based business processes in the Cloud." Electronic Thesis or Diss., Université Paris-Saclay (ComUE), 2018. http://www.theses.fr/2018SACLL006.

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Le Cloud Computing est un nouveau paradigme qui fournit des ressources informatiques sous forme de services à la demande via internet fondé sur le modèle de facturation pay-per-use. Il est de plus en plus utilisé pour le déploiement et l’exécution des processus métier en général et des processus métier à base de services (SBPs) en particulier. Les environnements cloud sont généralement très dynamiques. À cet effet, il devient indispensable de s’appuyer sur des agents intelligents appelés gestionnaires autonomiques (AMs), qui permettent de rendre les SBPs capables de se gérer de façon autonome
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