Relevant bibliographies by topics / Autonomic computing models

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  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Autonomic computing models'

Author: Grafiati
Published: 4 June 2021
Last updated: 1 February 2022

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Journal articles on the topic "Autonomic computing models"

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ZambranoMéndez, Leandro, Alejandro Rosete Suarez, and Humberto Díaz Pando. "A Review of the Autonomic Computing Models and Applications." International Journal of Computer Applications 94, no. 4 (May 16, 2014): 14–18. http://dx.doi.org/10.5120/16330-5605.

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Huebscher, Markus C., and Julie A. McCann. "A survey of autonomic computing—degrees, models, and applications." ACM Computing Surveys 40, no. 3 (August 2008): 1–28. http://dx.doi.org/10.1145/1380584.1380585.

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Abdulrazak, Bessam, Patrice Roy, Charles Gouin-Vallerand, Yacine Belala, and Sylvain Giroux. "Micro Context-Awareness for Autonomic Pervasive Computing." International Journal of Business Data Communications and Networking 7, no. 2 (April 2011): 48–68. http://dx.doi.org/10.4018/jbdcn.2011040104.

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Context-aware software provides adapted services to users or other software components. On the other hand, Autonomic Pervasive Computing uses context to reduce the complexity of pervasive system utilization, management and maintenance. This paper describes two context-awareness models, the macro and micro approaches, that define and integrate contextual views of individual pervasive components (micro level) and global knowledge of the system (macro level), and provides a more detailed overview of a micro Context-aware programming model for open smart space problems. These models are presented and compared with respect to their ability to meet the requirements of the Autonomic Pervasive Computing concept of the four selves.
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Eberbach, Eugene. "State of the Art of Information Technology Computing Models for Autonomic Cloud Computing †." Proceedings 1, no. 3 (June 9, 2017): 190. http://dx.doi.org/10.3390/10.3390/is4si-2017-04028.

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Eberbach, Eugene. "State of the Art of Information Technology Computing Models for Autonomic Cloud Computing." Proceedings 1, no. 3 (June 8, 2017): 190. http://dx.doi.org/10.3390/is4si-2017-04028.

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Sharma, Dolly, Shailendra Singh, and Mamta Mittal. "Trust Models in Grid Computing: A Review." Recent Patents on Engineering 13, no. 2 (May 27, 2019): 94–100. http://dx.doi.org/10.2174/1872212112666180427143757.

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Background: Grid computing relates to a pool of resources to be shared by users in Grid Environment. Security of the resources from users and vice-versa is a significant issue. This is where the notion of trust comes into existence. A number of researchers have proposed models for evaluation of trust in grid computing, but they fail to spot one or the other parameters for trust evaluation. The essence of trust models in grid computing is that they offer autonomic trust management. An autonomic trust model has been patented by Z. Yan and C. Prehofer in 2009. Another patent was published by Anna University in 2010 to evaluate the trustworthiness of a resource provider in Grid environment. Objective: This paper firstly focuses and illustrates these essential parameters. Based on these parameters, further, a comparison of some existing models for trust evaluation is shown. Finally, common parameters missed out by various models have been highlighted giving way for improvements of Trust model. Methods: A Trust evaluation model has been proposed by us previously based on a number of real-world trust evaluation parameters. This model sees trust as a three-dimensional entity. Trust is based on Dempter Shafer’s theory in which trust is calculated mathematically. Results: Software trust needs to be calculated mathematically. There are a large number of real-world parameters that need to be included for evaluating trust. Conclusion: As trust models in research are based on simulation techniques, so it is important to include real-world factors that affect trust value of one entity on other. Some of those parameters, missed by most of the models have been identified for inclusion in future trust models.
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Cetina, Carlos, Pau Giner, Joan Fons, and Vicente Pelechano. "Autonomic Computing through Reuse of Variability Models at Runtime: The Case of Smart Homes." Computer 42, no. 10 (October 2009): 37–43. http://dx.doi.org/10.1109/mc.2009.309.

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de Souza, Euzébio D., and Eduardo José Lima II. "Autonomic Computing in a Biomimetic Algorithm for Robots Dedicated to Rehabilitation of Ankle." International Journal of Grid and High Performance Computing 9, no. 1 (January 2017): 48–60. http://dx.doi.org/10.4018/ijghpc.2017010105.

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Human mobility is the key element of everyday life, its reduction or loss deeply affects daily activities. In assisted rehabilitation, robotic devices have focuses on the biomechanics of motor control. However, biomechanics does not study the neurological and physiological processes related to normal gait. Biomimetics combined with biomechanics, can generate a more efficient stimulation of the motor cortex and the locomotor system. The highest efficiency obtained through torque generation models, based on the physiological response of muscles and bones to reaction forces, together with control techniques based on autonomic computation. An autonomic control algorithm has a self-adjusting behaviour, ensuring patient safety and robot operation without the continuous monitoring of the physiotherapist. Thus, this work will identify the elements that characterize the physiological stimuli related to normal human gait, focusing on the ankle joint, aiming the development of biomimetic algorithms for robots for rehabilitation of the lower limbs.
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Gallagher, Shaun, Daniel D. Hutto, Jan Slaby, and Jonathan Cole. "The brain as part of an enactive system." Behavioral and Brain Sciences 36, no. 4 (July 25, 2013): 421–22. http://dx.doi.org/10.1017/s0140525x12002105.

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AbstractThe notion of an enactive system requires thinking about the brain in a way that is different from the standard computational-representational models. In evolutionary terms, the brain does what it does and is the way that it is, across some scale of variations, because it is part of a living body with hands that can reach and grasp in certain limited ways, eyes structured to focus, an autonomic system, an upright posture, etc. coping with specific kinds of environments, and with other people. Changes to any of the bodily, environmental, or intersubjective conditions elicit responses from the system as a whole. On this view, rather than representing or computing information, the brain is better conceived as participating in the action.
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Çag̃layan, M. Ufuk. "EROL GELENBE: A CAREER IN MULTI-DISCIPLINARY PROBABILITY MODELS." Probability in the Engineering and Informational Sciences 30, no. 3 (May 20, 2016): 308–25. http://dx.doi.org/10.1017/s0269964816000024.

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We focus on Erol Gelenbe's scientific and technical contributions to probability models in the computer and information sciences, but limit our survey to the last fifteen years. We start with a brief overview of his work as a single author, as well as his work in collaboration with over 200 co-authors. We discuss some of his recent and innovative work regarding a new probability model that represents Intermittent Energy Sources for Computing and Communications, introducingEnergy Packet Networkswhich are a probabilistic representation of the flow, storage and consumption of electrical energy at the microscopic level (in electronic chips), and at the macroscopic level (e.g. in buildings or data centers) and for its routing and dynamic usage by consuming units (such as computer elements, chips or machines). We next discuss his work on designing computer and communication systems that parsimoniously use energy in order to achieve a satisfactory level of quality of service (QoS). Trade-offs between system QoS and energy consumption are also considered. Then we turn to Prof. Gelenbe's pioneering work on Autonomic Communications and the design and implementation of CPN, the Cognitive Packet Network, and we also briefly review his spiking random neural network that was used in CPN. This is followed by a brief review of work that he conducted since 1999 on human evacuation from dangerous or catastrophic environments, and the design of technology driven Emergency Management Systems. His research since the late 2000s on Gene Regulatory Networks is then covered together with its application to the detecting possible disease from microarray data. Finally, we briefly discuss some novel analytical models that he developed in this period with publications appearing in journals of physics and applied mathematics.
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Dissertations / Theses on the topic "Autonomic computing models"

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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 behavior of the system may change during its execution. After self adaptation occurs in autonomic software, new components may be integrated to the software system. When new components are incorporated, testing them becomes vital phase for ensuring that they will interact and behave as expected. When self adaptation is about removing existing components, a predefined test set may no longer be applicable due to changes in the program structure. Investigating techniques for dynamically updating regression tests after adaptation is therefore necessary to ensure such approaches can be applied in practice. We propose a model-driven approach that is based on change propagation for synchronizing a runtime test model for a software system with the model of its component structure after dynamic adaptation. A workflow and meta-model to support the approach was provided, referred to as Test Information Propagation (TIP). To demonstrate TIP, a prototype was developed that simulates a reductive and additive change to an autonomic, service-oriented healthcare application. To demonstrate the generalization of our TIP approach to be instantiated into the domain of up-to-date runtime testing for self-adaptive software systems, the TIP approach was applied to the self-adaptive JPacman 3.0 system. To measure the accuracy of the TIP engine, we consider and compare the work of a developer who manually identifyied changes that should be performed to update the test model after self-adaptation occurs in self-adaptive systems in our study. The experiments show how TIP is highly accurate for reductive change propagation across self-adaptive systems. Promising results have been achieved in simulating the additive changes as well.
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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 theoretical design, Autonomic Computing was criticised as being a \hype topic" because very little of it has been implemented fully. Furthermore, given that the autonomic system must change states at runtime and that some of those states may emerge and are much less deterministic, there is a great challenge to provide new guidelines, techniques and tools to help autonomic system development. This thesis shows that building up on the central ideas of Model Driven Development (Models as rst-order citizens) and Software Product Lines (Variability Management) can play a signi cant role as we move towards implementing the key self-management properties associated with autonomic computing. The presented approach encompass systems that are capable of modifying their own behavior with respect to changes in their operating environment, by using variability models as if they were the policies that drive the system's autonomic recon guration at runtime. Under a set of recon guration commands, the components that make up the architecture dynamically cooperate to change the con guration of the architecture to a new con guration. This work also provides the implementation of a Model-Based Recon guration Engine (MoRE) to blend the above ideas. Given a context event, MoRE queries the variability models to determine how the system should evolve, and then it provides the mechanisms for modifying the system.
Cetina Englada, C. (2010). Achieving Autonomic Computing through the Use of Variability Models at Run-time [Tesis doctoral no publicada]. Universitat Politècnica de València. https://doi.org/10.4995/Thesis/10251/7484
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Alférez, Salinas Germán Harvey. "Achieving Autonomic Web Service Compositions with Models at Runtime." Doctoral thesis, Universitat Politècnica de València, 2013. http://hdl.handle.net/10251/34672.

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Over the last years, Web services have become increasingly popular. It is because they allow businesses to share data and business process (BP) logic through a programmatic interface across networks. In order to reach the full potential of Web services, they can be combined to achieve specifi c functionalities. Web services run in complex contexts where arising events may compromise the quality of the system (e.g. a sudden security attack). As a result, it is desirable to count on mechanisms to adapt Web service compositions (or simply called service compositions) according to problematic events in the context. Since critical systems may require prompt responses, manual adaptations are unfeasible in large and intricate service compositions. Thus, it is suitable to have autonomic mechanisms to guide their self-adaptation. One way to achieve this is by implementing variability constructs at the language level. However, this approach may become tedious, difficult to manage, and error-prone as the number of con figurations for the service composition grows. The goal of this thesis is to provide a model-driven framework to guide autonomic adjustments of context-aware service compositions. This framework spans over design time and runtime to face arising known and unknown context events (i.e., foreseen and unforeseen at design time) in the close and open worlds respectively. At design time, we propose a methodology for creating the models that guide autonomic changes. Since Service-Oriented Architecture (SOA) lacks support for systematic reuse of service operations, we represent service operations as Software Product Line (SPL) features in a variability model. As a result, our approach can support the construction of service composition families in mass production-environments. In order to reach optimum adaptations, the variability model and its possible con figurations are verifi ed at design time using Constraint Programming (CP). At runtime, when problematic events arise in the context, the variability model is leveraged for guiding autonomic changes of the service composition. The activation and deactivation of features in the variability model result in changes in a composition model that abstracts the underlying service composition. Changes in the variability model are refl ected into the service composition by adding or removing fragments of Business Process Execution Language (WS-BPEL) code, which are deployed at runtime. Model-driven strategies guide the safe migration of running service composition instances. Under the closed-world assumption, the possible context events are fully known at design time. These events will eventually trigger the dynamic adaptation of the service composition. Nevertheless, it is diffi cult to foresee all the possible situations arising in uncertain contexts where service compositions run. Therefore, we extend our framework to cover the dynamic evolution of service compositions to deal with unexpected events in the open world. If model adaptations cannot solve uncertainty, the supporting models self-evolve according to abstract tactics that preserve expected requirements.
Alférez Salinas, GH. (2013). Achieving Autonomic Web Service Compositions with Models at Runtime [Tesis doctoral no publicada]. Universitat Politècnica de València. https://doi.org/10.4995/Thesis/10251/34672
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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 fédération de clouds, souvent avec des coûts supplémentaires légers pour les utilisateurs. Une fédération de clouds peut aider autant les fournisseurs que les utilisateurs à atteindre leurs objectifs tels la réduction du temps d’exécution, la minimisation des coûts, l’augmentation de la disponibilité, la réduction de la consommation d’énergie, pour ne citer que ceux-Là. Ainsi, la fédération de clouds peut être une solution élégante pour éviter le sur-Approvisionnement, réduisant ainsi les coûts d’exploitation en situation de charge moyenne, et en supprimant des ressources qui, autrement, resteraient inutilisées et gaspilleraient ainsi de énergie. Cependant, la fédération de clouds élargit la gamme des ressources disponibles. En conséquence, pour les utilisateurs, des compétences en cloud computing ou en administration système sont nécessaires, ainsi qu’un temps d’apprentissage considérable pour maîtrises les options disponibles. Dans ce contexte, certaines questions se posent: (a) Quelle ressource du cloud est appropriée pour une application donnée? (b) Comment les utilisateurs peuvent-Ils exécuter leurs applications HPC avec un rendement acceptable et des coûts financiers abordables, sans avoir à reconfigurer les applications pour répondre aux normes et contraintes du cloud ? (c) Comment les non-Spécialistes du cloud peuvent-Ils maximiser l’usage des caractéristiques du cloud, sans être liés au fournisseur du cloud ? et (d) Comment les fournisseurs de cloud peuvent-Ils exploiter la fédération pour réduire la consommation électrique, tout en étant en mesure de fournir un service garantissant les normes de qualité préétablies ? À partir de ces questions, la présente thèse propose une solution de consolidation d’applications pour la fédération de clouds qui garantit le respect des normes de qualité de service. On utilise un système multi-Agents pour négocier la migration des machines virtuelles entre les clouds. En nous basant sur la fédération de clouds, nous avons développé et évalué une approche pour exécuter une énorme application de bioinformatique à coût zéro. En outre, nous avons pu réduire le temps d’exécution de 22,55% par rapport à la meilleure exécution dans un cloud individuel. Cette thèse présente aussi une architecture de cloud baptisée « Excalibur » qui permet l’adaptation automatique des applications standards pour le cloud. Dans l’exécution d’une chaîne de traitements de la génomique, Excalibur a pu parfaitement mettre à l’échelle les applications sur jusqu’à 11 machines virtuelles, ce qui a réduit le temps d’exécution de 63% et le coût de 84% par rapport à la configuration de l’utilisateur. Enfin, cette thèse présente un processus d’ingénierie des lignes de produits (PLE) pour gérer la variabilité de l’infrastructure à la demande du cloud, et une architecture multi-Cloud autonome qui utilise ce processus pour configurer et faire face aux défaillances de manière indépendante. Le processus PLE utilise le modèle étendu de fonction avec des attributs pour décrire les ressources et les sélectionner en fonction des objectifs de l’utilisateur. Les expériences réalisées avec deux fournisseurs de cloud différents montrent qu’en utilisant le modèle proposé, les utilisateurs peuvent exécuter leurs applications dans un environnement de clouds fédérés, sans avoir besoin de connaître les variabilités et contraintes du cloud
Cloud computing has been seen as an option to execute high performance computing (HPC) applications. While traditional HPC platforms such as grid and supercomputers offer a stable environment in terms of failures, performance, and number of resources, cloud computing offers on-Demand resources generally with unpredictable performance at low financial cost. Furthermore, in cloud environment, failures are part of its normal operation. To overcome the limits of a single cloud, clouds can be combined, forming a cloud federation often with minimal additional costs for the users. A cloud federation can help both cloud providers and cloud users to achieve their goals such as to reduce the execution time, to achieve minimum cost, to increase availability, to reduce power consumption, among others. Hence, cloud federation can be an elegant solution to avoid over provisioning, thus reducing the operational costs in an average load situation, and removing resources that would otherwise remain idle and wasting power consumption, for instance. However, cloud federation increases the range of resources available for the users. As a result, cloud or system administration skills may be demanded from the users, as well as a considerable time to learn about the available options. In this context, some questions arise such as: (a) which cloud resource is appropriate for a given application? (b) how can the users execute their HPC applications with acceptable performance and financial costs, without needing to re-Engineer the applications to fit clouds' constraints? (c) how can non-Cloud specialists maximize the features of the clouds, without being tied to a cloud provider? and (d) how can the cloud providers use the federation to reduce power consumption of the clouds, while still being able to give service-Level agreement (SLA) guarantees to the users? Motivated by these questions, this thesis presents a SLA-Aware application consolidation solution for cloud federation. Using a multi-Agent system (MAS) to negotiate virtual machine (VM) migrations between the clouds, simulation results show that our approach could reduce up to 46% of the power consumption, while trying to meet performance requirements. Using the federation, we developed and evaluated an approach to execute a huge bioinformatics application at zero-Cost. Moreover, we could decrease the execution time in 22.55% over the best single cloud execution. In addition, this thesis presents a cloud architecture called Excalibur to auto-Scale cloud-Unaware application. Executing a genomics workflow, Excalibur could seamlessly scale the applications up to 11 virtual machines, reducing the execution time by 63% and the cost by 84% when compared to a user's configuration. Finally, this thesis presents a product line engineering (PLE) process to handle the variabilities of infrastructure-As-A-Service (IaaS) clouds, and an autonomic multi-Cloud architecture that uses this process to configure and to deal with failures autonomously. The PLE process uses extended feature model (EFM) with attributes to describe the resources and to select them based on users' objectives. Experiments realized with two different cloud providers show that using the proposed model, the users could execute their application in a cloud federation environment, without needing to know the variabilities and constraints of the clouds
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Sharrock, Rémi. "Gestion autonomique de performance, d'énergie et de qualité de service : Application aux réseaux filaires, réseaux de capteurs et grilles de calcul." Phd thesis, Toulouse, INPT, 2010. http://oatao.univ-toulouse.fr/11717/1/sharrock.pdf.

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La motivation principale de cette thèse est de faire face à l'accroissement de la complexité des systèmes informatiques, qui, dans un futur proche ( de l'ordre de quelques années) risque fort d'être le principal frein à leur évolution et à leur développement. Aujourd'hui la tendance s'inverse et le coût de gestion humaine dépasse le coût des infrastructures matérielles et logicielles. De plus, l'administration manuelle de grands systèmes (applications distribuées, réseaux de capteurs, équipements réseaux) est non seulement lente mais aussi sujette à de nombreuses erreurs humaines. Un des domaines de recherche émergent est celui de l'informatique autonomique qui a pour but de rendre ces systèmes auto-gérés. Nous proposons une approche qui permet de décrire des politiques de gestion autonomiques de haut niveau. Ces politiques permettent au système d'assurer quatre propriétés fondamentales de l'auto-gestion: l'auto-guérison, l'auto-configuration, l'auto-protection et l'auto-optimisation. Nos contributions portent sur la spécification de diagrammes de description de politiques de gestion autonomiques appelés (S)PDD "(Sensor) Policy Description Diagrams". Ces diagrammes sont implémentés dans le gestionnaire autonomique TUNe et l'approche a été validée sur de nombreux systèmes: simulation électromagnétique répartie sur grille de calcul, réseaux de capteurs SunSPOT, répartiteur de calcul DIET. Une deuxième partie présente une modélisation mathématique de l’auto-optimisation pour un « datacenter ». Nous introduisons un problème de minimisation d’un critère intégrant d’une part la consommation électrique des équipements du réseau du « datacenter » et d’autre part la qualité de service des applications déployées sur le « datacenter ». Une heuristique permet de prendre en compte les contraintes dues aux fonctions de routage utilisées.
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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.
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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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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Salfner, Felix. "Event-based failure prediction an extended hidden Markov model approach." Berlin dissertation.de, 2008. http://d-nb.info/990430626/04.

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Bourret, Pierre. "Modèle à Composant pour Plate-forme Autonomique." Thesis, Grenoble, 2014. http://www.theses.fr/2014GRENM083/document.

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Ces dernières décennies, les environnements informatiques sont devenus de plus en plus complexes, parsemés de dispositifs miniatures et sophistiqués gérant la mobilité et communiquant sans fil. L'informatique ubiquitaire, telle qu'imaginée par Mark Weiser en 1991, favorise l'intégration transparente de ces environnements avec le monde réel pour offrir de nouveaux types d'applications. La conception de programmes pour environnements ubiquitaires soulève cependant de nombreux défis, en particulier le problème de rendre une application auto-adaptable dans un contexte en constante évolution. Parallèlement, alors que la taille et la complexité de systèmes plus classiques ont explosé, IBM a proposé le concept d'informatique autonomique afin de réduire le fardeau de l'administration de systèmes imposants et largement disséminés. Cette thèse se base sur une approche où les applications sont conçues sous la forme de composants utilisant et fournissant des services. Un modèle de développement fondé sur une architecture de référence pour la conception d'applications ubiquitaires est proposée, fortement inspiré des recherches dans le domaine de l'informatique autonomique. Dans ce modèle, les applications sont prises en charge par une hiérarchie de gestionnaires autonomiques, qui appuient leurs décisions sur une représentation centrale du système. La mise en œuvre de cette contribution requiert de rendre la couche d'exécution sous-jacente plus réflexive, en vue de supporter de nouveaux types d'adaptations à l'exécution. Nous proposons également un modèle qui décrit le système à l'exécution et reflète sa dynamique de manière uniforme, suivant les principes du style d'architecture REST. Les applications reposant sur ce cette couche d'exécution réflexive et représentées par ce modèle sont qualifiées d'Autonomic-Ready. L'implantation de nos propositions ont été intégrées dans le modèle à composant orienté service Apache Felix iPOJO. Le modèle de représentation du système, nommé Everest, est publié en tant que sous-projet d'OW2 Chameleon. Ces propositions ont été évaluées et validées par la conception et l'exécution d'une application ubiquitaire sur iCASA, un environnement de développement et de simulation
In the last decades, computing environments have been getting more and more complex, filled with miniaturized and sophisticated devices that can handle mobility and wireless communications. Ubiquitous computing, as envisioned by Mark Weiser in 1991, promote the seamless integration of those computing environments with the real world in order to offer new kinds of applications. However, writing software for ubiquitous environments raises numerous challenges, mainly the problem of how to make an application adapt itself in an ever changing context. From another perspective, as classical softwares were growing in size and complexity, IBM proposed the concept of autonomic computing to help to contain the burden of administering massive and numerous systems. This PhD thesis is based on an approach where applications are designed in terms of components using and providing services. A development model based on a reference architecture for the conception of ubiquitous applications is proposed, greatly inspired by researches in the autonomic computing field. In this model, the application is managed by a hierarchy of autonomic managers, that base their decisions on a central representation of the system. The fulfilment of this contribution requires to make the underlying middleware more reflexive, in order to support new kinds of runtime adaptations. We also provide a model that depicts the running system and its dynamics in a uniform way, based on REST principles. Applications relying on this reflexive middleware and represented by this model are what we called Autonomic-Ready. Implementations of our proposals have been integrated in the Apache Felix iPOJO service-oriented component model. The system representation, named Everest, is provided as a OW2 Chameleon subproject. Validation is based on the iCASA pervasive environment development and simulation environment
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Mezghani, Emna. "Towards Autonomic and Cognitive IoT Systems, Application to Patients’ Treatments Management." Thesis, Toulouse, INSA, 2016. http://www.theses.fr/2016ISAT0016/document.

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Dans cette thèse, nous proposons une méthodologie basée sur les modèles pour gérer la complexité de la conception des systèmes autonomiques cognitifs intégrant des objets connectés. Cette méthodologie englobe un ensemble de patrons de conception dont nous avons défini pour modéliser la coordination dynamique des processus autonomiques pour gérer l’évolution des besoins du système, et pour enrichir les systèmes avec des propriétés cognitives qui permettent de comprendre les données et de générer des nouvelles connaissances. De plus, pour gérer les problèmes reliés à la gestion des big data et à la scalabilité du système lors du déploiement des processus, nous proposons une plate-forme sémantique supportant le traitement des grandes quantités de données afin d’intégrer des sources de données distribuées et hétérogènes déployées sur le cloud pour générer des connaissances qui seront exposées en tant que service (KaaS). Comme application de nos contributions, nous proposons un système cognitif prescriptif pour la gestion du plan de traitement du patient. Ainsi, nous élaborons des modèles ontologiques décrivant les capteurs et le contexte du patient, ainsi que la connaissance médicale pour la prise de décision. Le système proposé est évalué de point de vue clinique en collaborant avec des experts médicaux, et de point de vue performance en proposant des différentes configurations dans le KaaS
In this thesis, we propose a collaborative model driven methodology for designing Autonomic Cognitive IoT systems to deal with IoT design complexity. We defined within this methodology a set of autonomic cognitive design patterns that aim at (1) delineating the dynamic coordination of the autonomic processes to deal with the system's context changeability and requirements evolution at run-time, and (2) adding cognitive abilities to IoT systems to understand big data and generate new insights. To address challenges related to big data and scalability, we propose a generic semantic big data platform that aims at integrating heterogeneous distributed data sources deployed on the cloud and generating knowledge that will be exposed as a service (Knowledge as a Service--KaaS). As an application of the proposed contributions, we instantiated and combined a set of patterns for the development of prescriptive cognitive system for the patient treatment management. Thus, we elaborated two ontological models describing the wearable devices and the patient context as well as the medical knowledge for decision-making. The proposed system is evaluated from the clinical prescriptive through collaborating with medical experts, and from the performance perspective through deploying the system within the KaaS following different configurations
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Books on the topic "Autonomic computing models"

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Trust Management In Mobile Environments Autonomic And Usable Models. Idea Group,U.S., 2014.

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Book chapters on the topic "Autonomic computing models"

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Sharma, Durga Prasad, Bhupesh Kumar Singh, Amin Tuni Gure, and Tanupriya Choudhury. "Autonomic Computing: Models, Applications, and Brokerage." In Autonomic Computing in Cloud Resource Management in Industry 4.0, 59–90. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-71756-8_4.

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Patibandla, R. S. M. Lakshmi, V. Lakshman Narayana, and Arepalli Peda Gopi. "Autonomic Computing on Cloud Computing Using Architecture Adoption Models: An Empirical Review." In Autonomic Computing in Cloud Resource Management in Industry 4.0, 195–212. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-71756-8_11.

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Venkatesan, Sridhar, Shridatt Sugrim, Jason A. Youzwak, Cho-Yu J. Chiang, and Ritu Chadha. "A Framework for Studying Autonomic Computing Models in Cyber Deception." In Adaptive Autonomous Secure Cyber Systems, 89–107. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-33432-1_5.

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Gamez, Nadia, Lidia Fuentes, and Miguel A. Aragüez. "Autonomic Computing Driven by Feature Models and Architecture in FamiWare." In Software Architecture, 164–79. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-23798-0_16.

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Liu, Yan, Jing Zhang, and John Strassner. "Model-Driven Adaptive Self-healing for Autonomic Computing." In Modelling Autonomic Communications Environments, 62–73. Berlin, Heidelberg: Springer Berlin Heidelberg, 2008. http://dx.doi.org/10.1007/978-3-540-87355-6_6.

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Sobers Smiles David, G., K. Ramkumar, P. Shanmugavadivu, and P. S. Eliahim Jeevaraj. "Autonomic Computing in Cloud: Model and Applications." In Autonomic Computing in Cloud Resource Management in Industry 4.0, 41–57. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-71756-8_3.

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Wada, Hiroshi, Chonho Lee, Junichi Suzuki, and Tetsuo Otani. "iNetLab: A Model-Driven Development and Performance Engineering Environment for Autonomic Network Applications." In Autonomic Computing and Networking, 285–312. Boston, MA: Springer US, 2009. http://dx.doi.org/10.1007/978-0-387-89828-5_12.

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Li, Bingyang, Huiqiang Wang, and Guangsheng Feng. "Experiment Research of Automatic Deception Model Based on Autonomic Computing." In Advances in Information Security and Its Application, 98–104. Berlin, Heidelberg: Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-02633-1_13.

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Tenorio, D., V. Rivera, J. Medina, A. Leondar, M. Gaumer, and Z. Dodds. "Visual Autonomy via 2D Matching in Rendered 3D Models." In Advances in Visual Computing, 373–85. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-27857-5_34.

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Kommina, Lavanya, Prasannavenkatesan Theerthagiri, Yogeshwari Payyavula, Prudvi Sai Vemula, and Gurram Deekshith Reddy. "Post-Stroke Readmission Prediction Model Using Machine Learning Algorithms." In Studies in Autonomic, Data-driven and Industrial Computing, 53–65. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-16-3915-9_4.

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Conference papers on the topic "Autonomic computing models"

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Lee, A. "Psychological models in autonomic computing systems." In Proceedings. 15th International Workshop on Database and Expert Systems Applications, 2004. IEEE, 2004. http://dx.doi.org/10.1109/dexa.2004.1333564.

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Stoilov, Todor, and Krasimira Stoilova. "Potential formal models for autonomic computing applications." In the 11th International Conference on Computer Systems and Technologies and Workshop for PhD Students in Computing. New York, New York, USA: ACM Press, 2010. http://dx.doi.org/10.1145/1839379.1839433.

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Di Nitto, Elisabetta, Daniele J. Dubois, and Raffaela Mirandola. "Self-aggregation algorithms for autonomic systems." In 2007 2nd Bio-Inspired Models of Network, Information and Computing Systems (BIONETICS). IEEE, 2007. http://dx.doi.org/10.1109/bimnics.2007.4610096.

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Benko, Borbala Katalin, and Robert Schulcz. "Mapping external functionalities into autonomic services." In 2007 2nd Bio-Inspired Models of Network, Information and Computing Systems (BIONETICS). IEEE, 2007. http://dx.doi.org/10.1109/bimnics.2007.4610125.

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Goldsby, Heather J., Betty H. C. Cheng, Philip K. McKinley, David B. Knoester, and Charles A. Ofria. "Digital Evolution of Behavioral Models for Autonomic Systems." In 2008 International Conference on Autonomic Computing (ICAC). IEEE, 2008. http://dx.doi.org/10.1109/icac.2008.26.

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Tadakamalla, Uma, and Daniel A. Menasce. "Autonomic Resource Management Using Analytic Models for Fog/Cloud Computing." In 2019 IEEE International Conference on Fog Computing (ICFC). IEEE, 2019. http://dx.doi.org/10.1109/icfc.2019.00018.

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Shen, Qi, and Maoguang Wang. "Research on Policy–Based Collaboration Models in Autonomic Computing." In 2008 International Symposium on Computer Science and Computational Technology. IEEE, 2008. http://dx.doi.org/10.1109/iscsct.2008.233.

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Bliefernicht, Dennis, and Daniel Schreckling. "Highly adaptive cryptographic suites for autonomic WSNs." In 2007 2nd Bio-Inspired Models of Network, Information and Computing Systems (BIONETICS). IEEE, 2007. http://dx.doi.org/10.1109/bimnics.2007.4610129.

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Benko, Borbala Katalin, and Robert Schulcz. "Mapping External Functionalities into Autonomic Services." In 2nd International ICST Conference on Bio-Inspired Models of Network, Information, and Computing Systems. IEEE, 2007. http://dx.doi.org/10.4108/icst.bionetics2007.2384.

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Di Nitto, Elisabetta, Daniele J. Dubois, and Raffaela Mirandola. "Self-Aggregation Algorithms for Autonomic Systems." In 2nd International ICST Conference on Bio-Inspired Models of Network, Information, and Computing Systems. IEEE, 2007. http://dx.doi.org/10.4108/icst.bionetics2007.2411.

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Reports on the topic "Autonomic computing models"

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Karsai, Gabor, and Benoit Dawant. Autonomous Negotiating Teams and Model-Integrated Computing for Autonomic Logistics. Fort Belvoir, VA: Defense Technical Information Center, February 2005. http://dx.doi.org/10.21236/ada430889.

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Maiden, Wendy M. DualTrust: A Trust Management Model for Swarm-Based Autonomic Computing Systems. Office of Scientific and Technical Information (OSTI), May 2010. http://dx.doi.org/10.2172/1021296.

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