Relevant bibliographies by topics / Computations management

Academic literature on the topic 'Computations management'

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Published: 30 May 2022
Last updated: 31 May 2022

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Journal articles on the topic "Computations management"

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Liden, Sam. "Practical considerations in optimal flight management computations." Journal of Guidance, Control, and Dynamics 9, no. 4 (July 1986): 427–32. http://dx.doi.org/10.2514/3.20128.

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Han, Kyoungseok, Tam W. Nguyen, and Kanghyun Nam. "Battery Energy Management of Autonomous Electric Vehicles Using Computationally Inexpensive Model Predictive Control." Electronics 9, no. 8 (August 9, 2020): 1277. http://dx.doi.org/10.3390/electronics9081277.

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With the emergence of vehicle-communication technologies, many researchers have strongly focused their interest in vehicle energy-efficiency control using this connectivity. For instance, the exploitation of preview traffic enables the vehicle to plan its speed and position trajectories given a prediction horizon so that energy consumption is minimized. To handle the strong uncertainties in the traffic model in the future, a constrained controller is generally employed in the existing researches. However, its expensive computational feature largely prevents its commercialization. This paper addresses computational burden of the constrained controller by proposing a computationally tractable model prediction control (MPC) for real-time implementation in autonomous electric vehicles. We present several remedies to achieve a computationally manageable constrained control, and analyze its real-time computation feasibility and effectiveness in various driving conditions. In particular, both warmstarting and move-blocking methods could relax the computations significantly. Through the validations, we confirm the effectiveness of the proposed approach while maintaining good performance compared to other alternative schemes.
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Dulá, José H. "Computations in DEA." Pesquisa Operacional 22, no. 2 (December 2002): 165–82. http://dx.doi.org/10.1590/s0101-74382002000200005.

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Mitsui, Jun, Shin-ichi Ogata, Sanae Shibata, Akira Matsumoto, and Masato Yamamoto. "BEHAVIOR OF FISH REEF BLOCKS FALLING THROUGH WATER." Coastal Engineering Proceedings 1, no. 33 (September 28, 2012): 38. http://dx.doi.org/10.9753/icce.v33.management.38.

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An accurate and economical placement method for fish reef blocks utilizing free fall in the deep sea area is presented in this paper. Falling behavior of concrete blocks in water was investigated by hydraulic model experiments and 3-D numerical computations. As a result, a new fish reef block which falls through water with highly stable behavior was developed. The distribution range of the developed block on the sea bottom was predicted by a stochastic model and it was proved to be sufficiently narrow. In addition, a quick estimation method for the placement position was developed to determine the release point of the block in actual construction. By using hydrodynamic force coefficients to evaluate the forces acting on the block, the method can estimate the falling behavior of the block in a flow field with sufficient accuracy and in a short time.
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Wood, Alan. "Parallel computers and computations." European Journal of Operational Research 27, no. 3 (December 1986): 385–86. http://dx.doi.org/10.1016/0377-2217(86)90338-3.

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Ibrahim, Khaled Z., and François Bodin. "Efficient SIMDization and Data Management of the Lattice QCD Computation on the Cell Broadband Engine." Scientific Programming 17, no. 1-2 (2009): 153–72. http://dx.doi.org/10.1155/2009/634756.

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Lattice Quantum Chromodynamic (QCD) models subatomic interactions based on a four-dimensional discretized space–time continuum. The Lattice QCD computation is one of the grand challenges in physics especially when modeling a lattice with small spacing. In this work, we study the implementation of the main kernel routine of Lattice QCD that dominates the execution time on the Cell Broadband Engine. We tackle the problem of efficient SIMD execution and the problem of limited bandwidth for data transfers with the off-chip memory. For efficient SIMD execution, we present runtime data fusion technique that groups data processed similarly at runtime. We also introduce analysis needed to reduce the pressure on the scarce memory bandwidth that limits the performance of this computation. We studied two implementations for the main kernel routine that exhibit different patterns of accessing the memory and thus allowing different sets of optimizations. We show the attributes that make one implementation more favorable in terms of performance. For lattice size that is significantly larger than the local store, our implementation achieves 31.2 GFlops for single precision computations and 16.6 GFlops for double precision computations on the PowerXCell 8i, an order of magnitude better than the performance achieved on most general-purpose processors.
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Skowron, Andrzej, Andrzej Jankowski, and Soma Dutta. "Interactive granular computing." Granular Computing 1, no. 2 (January 5, 2016): 95–113. http://dx.doi.org/10.1007/s41066-015-0002-1.

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Abstract Decision support in solving problems related to complex systems requires relevant computation models for the agents as well as methods for reasoning on properties of computations performed by agents. Agents are performing computations on complex objects [e.g., (behavioral) patterns, classifiers, clusters, structural objects, sets of rules, aggregation operations, (approximate) reasoning schemes]. In Granular Computing (GrC), all such constructed and/or induced objects are called granules. To model interactive computations performed by agents, crucial for the complex systems, we extend the existing GrC approach to Interactive Granular Computing (IGrC) approach by introducing complex granules (c-granules or granules, for short). Many advanced tasks, concerning complex systems, may be classified as control tasks performed by agents aiming at achieving the high-quality computational trajectories relative to the considered quality measures defined over the trajectories. Here, new challenges are to develop strategies to control, predict, and bound the behavior of the system. We propose to investigate these challenges using the IGrC framework. The reasoning, which aims at controlling of computations, to achieve the required targets, is called an adaptive judgement. This reasoning deals with granules and computations over them. Adaptive judgement is more than a mixture of reasoning based on deduction, induction and abduction. Due to the uncertainty the agents generally cannot predict exactly the results of actions (or plans). Moreover, the approximations of the complex vague concepts initiating actions (or plans) are drifting with time. Hence, adaptive strategies for evolving approximations of concepts are needed. In particular, the adaptive judgement is very much needed in the efficiency management of granular computations, carried out by agents, for risk assessment, risk treatment, and cost/benefit analysis. In the paper, we emphasize the role of the rough set-based methods in IGrC. The discussed approach is a step towards realization of the Wisdom Technology (WisTech) program, and is developed over years, based on the work experience on different real-life projects.
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Caron, Eddy, Bruno DelFabbro, Frédéric Desprez, Emmanuel Jeannot, and Jean-Marc Nicod. "Managing Data Persistence in Network Enabled Servers." Scientific Programming 13, no. 4 (2005): 333–54. http://dx.doi.org/10.1155/2005/151604.

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The GridRPC model [17] is an emerging standard promoted by the Global Grid Forum (GGF) that defines how to perform remote client-server computations on a distributed architecture. In this model data are sent back to the client at the end of every computation. This implies unnecessary communications when computed data are needed by an other server in further computations. Since, communication time is sometimes the dominant cost of remote computations, this cost has to be lowered. Several tools instantiate the GridRPC model such as NetSolve developed at the University of Tennessee, Knoxville, USA, and DIET developed at LIP laboratory, ENS Lyon, France. They are usually called Network Enabled Servers (NES). In this paper, we present a discussion of the data management solutions chosen for these two NES (NetSolve and DIET) as well as experimental results.
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Skowron, Andrzej, and Andrzej Jankowski. "Interactive computations: toward risk management in interactive intelligent systems." Natural Computing 15, no. 3 (February 11, 2015): 465–76. http://dx.doi.org/10.1007/s11047-015-9486-5.

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Adamski, Marcin, Krzysztof Kurowski, Marek Mika, Wojciech Piątek, and Jan Węglarz. "Security Aspects in Resource Management Systems in Distributed Computing Environments." Foundations of Computing and Decision Sciences 42, no. 4 (December 20, 2017): 299–313. http://dx.doi.org/10.1515/fcds-2017-0015.

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Abstract In many distributed computing systems, aspects related to security are getting more and more relevant. Security is ubiquitous and could not be treated as a separated problem or a challenge. In our opinion it should be considered in the context of resource management in distributed computing environments like Grids and Clouds, e.g. scheduled computations can be much delayed because of cyber-attacks, inefficient infrastructure or users valuable and sensitive data can be stolen even in the process of correct computation. To prevent such cases there is a need to introduce new evaluation metrics for resource management that will represent the level of security of computing resources and more broadly distributed computing infrastructures. In our approach, we have introduced a new metric called reputation, which simply determines the level of reliability of computing resources from the security perspective and could be taken into account during scheduling procedures. The new reputation metric is based on various relevant parameters regarding cyber-attacks (also energy attacks), administrative activities such as security updates, bug fixes and security patches. Moreover, we have conducted various computational experiments within the Grid Scheduling Simulator environment (GSSIM) inspired by real application scenarios. Finally, our experimental studies of new resource management approaches taking into account critical security aspects are also discussed in this paper.
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Dissertations / Theses on the topic "Computations management"

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Haraburda, David. "Arithmetic Computations and Memory Management Using a Binary Tree Encoding af Natural Numbers." Thesis, University of North Texas, 2011. https://digital.library.unt.edu/ark:/67531/metadc103323/.

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Two applications of a binary tree data type based on a simple pairing function (a bijection between natural numbers and pairs of natural numbers) are explored. First, the tree is used to encode natural numbers, and algorithms that perform basic arithmetic computations are presented along with formal proofs of their correctness. Second, using this "canonical" representation as a base type, algorithms for encoding and decoding additional isomorphic data types of other mathematical constructs (sets, sequences, etc.) are also developed. An experimental application to a memory management system is constructed and explored using these isomorphic types. A practical analysis of this system's runtime complexity and space savings are provided, along with a proof of concept framework for both applications of the binary tree type, in the Java programming language.
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Bourgey, Florian. "Stochastic approximations for financial risk computations." Thesis, Institut polytechnique de Paris, 2020. http://www.theses.fr/2020IPPAX052.

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Dans cette thèse, nous examinons plusieurs méthodes d'approximations stochastiques à la fois pour le calcul de mesures de risques financiers et pour le pricing de produits dérivés.Comme les formules explicites sont rarement disponibles pour de telles quantités, le besoin d'approximations analytiques rapides,efficaces et fiables est d'une importance capitale pour les institutions financières.Nous visons ainsi à donner un large aperçu de ces méthodes d'approximation et nous nous concentrons sur trois approches distinctes.Dans la première partie, nous étudions plusieurs méthodes d'approximation Monte Carlo multi-niveaux et les appliquons à deux problèmes pratiques :l'estimation de quantités impliquant des espérances imbriquées (comme la marge initiale) ainsi que la discrétisation des intégrales apparaissant dans les modèles rough pour la variance forward pour le pricing d'options sur le VIX.Dans les deux cas, nous analysons les propriétés d'optimalité asymptotique des estimateurs multi-niveaux correspondants et démontrons numériquement leur supériorité par rapport à une méthode de Monte Carlo classique.Dans la deuxième partie, motivés par les nombreux exemples issus de la modélisation en risque de crédit, nous proposons un cadre général de métamodélisation pour de grandes sommes de variables aléatoires de Bernoulli pondérées, qui sont conditionnellement indépendantes par rapport à un facteur commun X. Notre approche générique est basée sur la décomposition en polynômes du chaos du facteur commun et sur une approximation gaussienne. Les estimations d'erreur L2 sont données lorsque le facteur X est associé à des polynômes orthogonaux classiques.Enfin, dans la dernière partie de cette thèse, nous nous intéressons aux asymptotiques en temps court de la volatilité implicite américaine et les prix d'options américaines dans les modèles à volatilité locale. Nous proposons également une approximation en loi de l'indice VIX dans des modèles rough pour la variance forward, exprimée en termes de proxys log-normaux et dérivons des résultats d'expansion pour les options sur le VIX dont les coefficients sont explicites
In this thesis, we investigate several stochastic approximation methods for both the computation of financial risk measures and the pricing of derivatives.As closed-form expressions are scarcely available for such quantities, %and because they have to be evaluated daily, the need for fast, efficient, and reliable analytic approximation formulas is of primal importance to financial institutions.We aim at giving a broad overview of such approximation methods and we focus on three distinct approaches.In the first part, we study some Multilevel Monte Carlo approximation methods and apply them for two practical problems: the estimation of quantities involving nested expectations (such as the initial margin) along with the discretization of integrals arising in rough forward variance models for the pricing of VIX derivatives.For both cases, we analyze the properties of the corresponding asymptotically-optimal multilevel estimatorsand numerically demonstrate the superiority of multilevel methods compare to a standard Monte Carlo.In the second part, motivated by the numerous examples arising in credit risk modeling, we propose a general framework for meta-modeling large sums of weighted Bernoullirandom variables which are conditional independent of a common factor X.Our generic approach is based on a Polynomial Chaos Expansion on the common factor together withsome Gaussian approximation. L2 error estimates are given when the factor X is associated withclassical orthogonal polynomials.Finally, in the last part of this dissertation, we deal withsmall-time asymptotics and provide asymptoticexpansions for both American implied volatility and American option prices in local volatility models.We also investigate aweak approximations for the VIX index inrough forward variance models expressed in termsof lognormal proxiesand derive expansions results for VIX derivatives with explicit coefficients
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Lee, Yau-tat Thomas, and 李猷達. "Formalisms on semi-structured and unstructured data schema computations." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2009. http://hub.hku.hk/bib/B43703914.

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Lee, Yau-tat Thomas. "Formalisms on semi-structured and unstructured data schema computations." Click to view the E-thesis via HKUTO, 2009. http://sunzi.lib.hku.hk/hkuto/record/B43703914.

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Ladjel, Riad. "Secure distributed computations for the personal cloud." Electronic Thesis or Diss., université Paris-Saclay, 2020. http://www.theses.fr/2020UPASG043.

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Grâce aux “smart disclosure initiatives”, traduit en français par « ouvertures intelligentes » et aux nouvelles réglementations comme le RGPD, les individus ont la possibilité de reprendre le contrôle sur leurs données en les stockant localement de manière décentralisée. En parallèle, les solutions dites de clouds personnels ou « système personnel de gestion de données » se multiplient, leur objectif étant de permettre aux utilisateurs d'exploiter leurs données personnelles pour leur propre bien.Cette gestion décentralisée des données personnelles offre une protection naturelle contre les attaques massives sur les serveurs centralisés et ouvre de nouvelles opportunités en permettant aux utilisateurs de croiser leurs données collectées auprès de différentes sources. D'un autre côté, cette approche empêche le croisement de données provenant de plusieurs utilisateurs pour effectuer des calculs distribués.L'objectif de cette thèse est de concevoir un protocole de calcul distribué, générique, qui passe à l’échelle et qui permet de croiser les données personnelles de plusieurs utilisateurs en offrant de fortes garanties de sécurité et de protection de la vie privée. Le protocole répond également aux deux questions soulevées par cette approche : comment préserver la confiance des individus dans leur cloud personnel lorsqu'ils effectuent des calculs croisant des données provenant de plusieurs individus ? Et comment garantir l'intégrité du résultat final lorsqu'il a été calculé par une myriade de clouds personnels collaboratifs mais indépendants ?
Thanks to smart disclosure initiatives and new regulations like GDPR, individuals are able to get the control back on their data and store them locally in a decentralized way. In parallel, personal data management system (PDMS) solutions, also called personal clouds, are flourishing. Their goal is to empower users to leverage their personal data for their own good. This decentralized way of managing personal data provides a de facto protection against massive attacks on central servers and opens new opportunities by allowing users to cross their data gathered from different sources. On the other side, this approach prevents the crossing of data from multiple users to perform distributed computations. The goal of this thesis is to design a generic and scalable secure decentralized computing framework which allows the crossing of personal data of multiple users while answering the following two questions raised by this approach. How to preserve individuals' trust on their PDMS when performing global computations crossing data from multiple individuals? And how to guarantee the integrity of the final result when it has been computed by a myriad of collaborative but independent PDMSs?
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Botadra, Harnish. "iC2mpi a platform for parallel execution of graph-structured iterative computations /." unrestricted, 2006. http://etd.gsu.edu/theses/available/etd-07252006-165725/.

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Thesis (M.S.)--Georgia State University, 2006.
Title from title screen. Sushil Prasad, committee chair. Electronic text (106 p. : charts) : digital, PDF file. Description based on contents viewed June 11, 2007. Includes bibliographical references. Includes bibliographical references (p. 61-53).
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Azzopardi, Marc Anthony. "Computational air traffic management." Thesis, Cranfield University, 2015. http://dspace.lib.cranfield.ac.uk/handle/1826/9200.

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World air transport has been on a steady exponential rise since the 1940’s and the trend has shown remarkable resilience to external shocks. The level of air traffic has greatly exceeded the wildest expectations of the air traffic management pioneers that originally defined the basic precepts ATM that persist till today. This has stretched ATM to a point where it is starting to show signs of ineffectiveness in the face of ever increasing congestion. Delays are on the rise, costs are ballooning, flights are being elongated unnecessarily, the system is becoming increasingly susceptible to disruption, and the high environmental impact of aviation is being compounded by the inability of air traffic controllers to optimise ATM operation in real-time. If these trends are not reversed, ATM could eventually face instability. The conservative, self-preserving outlook of the ATM community has confined progress to relatively minor tweaks of a tired human-centric paradigm. However, the diverging gap between ATM performance and fundamental requirements indicates the need for a step change. In this work, the traditionally incremental approach to ATM research was broken to favour a more exploratory mindset. As a result, a new discipline called Computational Air Traffic Management has been defined to address the unique set of challenges presented by the ATM problem, by taking a more objective scientific approach. A specific embodiment of a CATM system was designed, constructed, simulated and tested and shown to be a significant step towards demonstrating the feasibility of a fully autonomous multi-agent-based air transportation system based on optimisation principles. The system offers unique advantages in terms of resilience to disruption, efficiency and future scalability. The traffic density using such a system can be realistically increased many times higher than current levels while significantly improving on the current levels of safety, operating cost, environmental impact and flight delays. This work advances the field of ATM as well as the fields of Computational Intelligence and Dynamic Optimisation of High Dimensionality Non- Convex Search Spaces.
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Brogliato, Marcelo Salhab. "Essays in computational management science." reponame:Repositório Institucional do FGV, 2018. http://hdl.handle.net/10438/24615.

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Submitted by Marcelo Salhab Brogliato (msbrogli@gmail.com) on 2018-08-23T20:44:22Z No. of bitstreams: 1 brogliato-phd-thesis-v3-final.pdf: 19935806 bytes, checksum: df0caf31076cfec5c116e0b4c18346ee (MD5)
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A presente tese é formada por três trabalhos científicos na área de Management Science Computacional. A gestão moderna e a alta tecnologia interagem em múltiplas e profundas formas. O professor Andre Ng diz aos seus estudantes na Escola de Negócios de Stanford que “Inteligência Artificial é a nova eletricidade”, como sua forma hiperbólica de enfatizar o potencial transformador da tecnologia. O primeiro trabalho é inspirado na possibilidade de que haverá alguma forma de dinheiro digital e estuda ledger distribuídas, propondo e analisando o Hathor, uma arquitetura alternativa para criptomoedas escaláveis. O segundo trabalho pode ser um item crucial no entendimento de tomadas de decisão, nos trazendo um modelo formal de recognition-primed decisions. Situada na intersecção entre psicologia cognitiva, ciência da computação, neuro-ciência e inteligência artifical, ele apresenta um framework open-source, multi-plataforma e altamente paralelo da Sparse Distributed Memory e analisa a dinâmica da memória e algumas aplicações. O terceiro e último trabalho se situa na intersecção entre marketing, difusão de inovação tecnologica e modelagem, extendendo o famoso modelo de Bass para levar em consideração usuário que, após adotar a tecnologia por um tempo, decidiram rejeitá-la.
This thesis presents three specific, self-contained, scientific papers in the Computational Management Science area. Modern management and high technology interact in multiple, profound, ways. Professor Andrew Ng tells students at Stanford’s Graduate School of Business that “AI is the new electricity”, as his hyperbolic way to emphasize the potential transformational power of the technology. The first paper is inspired by the possibility that there will be some form of purely digital money and studies distributed ledgers, proposing and analyzing Hathor, an alternative architecture towards a scalable cryptocurrency. The second paper may be a crucial item in understanding human decision making, perhaps, bringing us a formal model of recognition-primed decision. Lying at the intersection of cognitive psychology, computer science, neuroscience, and artificial intelligence, it presents an open-source, cross-platform, and highly parallel framework of the Sparse Distributed Memory and analyzes the dynamics of the memory with some applications. Last but not least, the third paper lies at the intersection of marketing, diffusion of technological innovation, and modeling, extending the famous Bass model to account for users who, after adopting the innovation for a while, decide to reject it later on.
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Iserte, Agut Sergio. "High-throughput Computation through Efficient Resource Management." Doctoral thesis, Universitat Jaume I, 2018. http://hdl.handle.net/10803/664128.

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This proposal addresses, from two different approaches, the improvement of data centers productivity through an efficient resource management. On the one hand, the combination of GPU remote virtualization technologies with workload managers in HPC clusters and cloud computing environments. On the other hand, job reconfigurations in terms of varying its number of processes during the execution. Performance evaluations reveal a non-negligible improvement not only in the throughput, but also, in the job waiting time and in the energy consumption.
Esta propuesta aborda, desde dos enfoques distintos, la mejora de la productividad de centros de procesamientos de datos mediante una gestión eficiente de los recursos. Por un lado, la combinación de tecnologías de virtualización remotas de GPUs junto con gestores de recursos en clústeres HPC y entornos de computación en la nube. Por el otro lado, la reconfiguración de trabajos en términos de modificar el número de procesos durante la ejecución. La evaluación de prestaciones revela un incremento no sólo en la productividad, sino también en el consumo energético.
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Apel, Joachim, and Uwe Klaus. "Aspects of Large Scale Symbolic Computation Management." Universität Leipzig, 1998. https://ul.qucosa.de/id/qucosa%3A34525.

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The special-purpose computer algebra system FELIX is designed for computations in constructive commutative and non-commutative algebra. In this paper we discuss some features of the system supporting the computation of rather complex problems, especially standard basis computations, using standard hardware. There is a frst aspect concerning the definition and implementation of the basic data types which should be a good compromise between space and time efficient representations of the algebraic objects. Usually, rather complex computations are very time consuming (up to weeks) and often require several attempts. So, there are included special session saving methods in FELIX which allows to backup the attained intermediate results in form of memory images into special session files and to restart later on. Finally, we describe our efforts crunching complex problems by parallelization. The implemented interface is based on stream sockets and includes a special protocol for the data exchange. It supports the distributed computation on heterogeneous, loosely coupled systems.
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Books on the topic "Computations management"

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Patnaik, Srikanta, Kayhan Tajeddini, and Vipul Jain, eds. Computational Management. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-72929-5.

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Fonseca, Raquel J., Gerhard-Wilhelm Weber, and João Telhada, eds. Computational Management Science. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-20430-7.

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Acampora, Giovanni, Witold Pedrycz, Athanasios V. Vasilakos, and Autilia Vitiello, eds. Computational Intelligence for Semantic Knowledge Management. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-23760-8.

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Cole, Murray. Algorithmic skeletons: Structured management of parallel computation. London: Pitman, 1989.

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Cole, Murray I. Algorithmic skeletons: Structured management of parallel computation. London: Pitman, 1989.

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Pant, Millie, Tarun K. Sharma, Sebastián Basterrech, and Chitresh Banerjee, eds. Computational Network Application Tools for Performance Management. Singapore: Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-32-9585-8.

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Computational Information Retrieval Conference (2000 Raleigh, N.C.). Computational information retrieval. Philadelphia, PA: SIAM, 2001.

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Ludwig, Lars A. Computational Intelligence in der Produktionswirtschaft. Paderborn: Heinz Nixdorf Institut, 2000.

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International, Conference on Communication Computation Management and Nanotechnology (2nd 2011 Bhalki India). Second International Conference on Communication, Computation, Management & Nanotechnology: Abstract. Bhalki: Rural Engineering College, Bhalki, 2011.

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Hanne, Thomas, and Rolf Dornberger. Computational Intelligence in Logistics and Supply Chain Management. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-40722-7.

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Book chapters on the topic "Computations management"

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Lazaridis, Alexis. "The Classical Linear Model. Specific Computations." In Dynamic Systems in Management Science, 53–81. London: Palgrave Macmillan UK, 2015. http://dx.doi.org/10.1057/9781137508928_2.

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Dönmez, Tahsin C. M. "Verifiable Outsourcing of Computations Using Garbled Onions." In Security and Trust Management, 122–37. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-030-01141-3_8.

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Liu, J. W. S., K. J. Lin, W. K. Shih, A. C. Yu, J. Y. Chung, and W. Zhao. "Algorithms for Scheduling Imprecise Computations." In Foundations of Real-Time Computing: Scheduling and Resource Management, 203–49. Boston, MA: Springer US, 1991. http://dx.doi.org/10.1007/978-1-4615-3956-8_8.

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Fan, Chenglin, Jun Luo, Farong Zhong, and Binhai Zhu. "Expected Computations on Color Spanning Sets." In Frontiers in Algorithmics and Algorithmic Aspects in Information and Management, 130–41. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-38756-2_15.

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Vinogradov, K., and G. Kretinin. "Application of UQ for Turbine Blade CHT Computations." In Uncertainty Management for Robust Industrial Design in Aeronautics, 365–81. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-77767-2_23.

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Chaudhry, Mohan L. "On Numerical Computations of Some Discrete-Time Queues." In International Series in Operations Research & Management Science, 365–408. Boston, MA: Springer US, 2000. http://dx.doi.org/10.1007/978-1-4757-4828-4_10.

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Jankowski, Andrzej, Andrzej Skowron, and Roman Swiniarski. "Interactive Computations: Toward Risk Management in Interactive Intelligent Systems." In Lecture Notes in Computer Science, 1–12. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-45062-4_1.

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Yu, Anyu, Yu Shi, and Joe Zhu. "Acceleration of Large-Scale DEA Computations Using Random Forest Classification." In International Series in Operations Research & Management Science, 31–49. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-75162-3_2.

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Unzalu, E. A. "Atmospheric Environmental Management Expert System for an Oil-Fired Power Plant." In Large Scale Computations in Air Pollution Modelling, 349–58. Dordrecht: Springer Netherlands, 1999. http://dx.doi.org/10.1007/978-94-011-4570-1_31.

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Jankowski, Andrzej. "WisTech Approach to Agent’s Efficiency Management." In Interactive Granular Computations in Networks and Systems Engineering: A Practical Perspective, 525–54. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-57627-5_33.

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Conference papers on the topic "Computations management"

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Fan, Wenfei, Chunming Hu, and Chao Tian. "Incremental Graph Computations." In SIGMOD/PODS'17: International Conference on Management of Data. New York, NY, USA: ACM, 2017. http://dx.doi.org/10.1145/3035918.3035944.

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Tsikoudis, Nikos, and Liuba Shrira. "RID: Deduplicating Snapshot Computations." In SIGMOD/PODS '20: International Conference on Management of Data. New York, NY, USA: ACM, 2020. http://dx.doi.org/10.1145/3318464.3380580.

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Fan, Wenfei, Jingbo Xu, Yinghui Wu, Wenyuan Yu, Jiaxin Jiang, Zeyu Zheng, Bohan Zhang, Yang Cao, and Chao Tian. "Parallelizing Sequential Graph Computations." In SIGMOD/PODS'17: International Conference on Management of Data. New York, NY, USA: ACM, 2017. http://dx.doi.org/10.1145/3035918.3035942.

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Moise, Diana, Thi-Thu-Lan Trieu, Luc Bougé, and Gabriel Antoniu. "Optimizing intermediate data management in MapReduce computations." In the First International Workshop. New York, New York, USA: ACM Press, 2011. http://dx.doi.org/10.1145/1967422.1967427.

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Östberg, Per-Olov, Andreas Hellander, Brian Drawert, Erik Elmroth, Sverker Holmgren, and Linda Petzold. "Reducing Complexity in Management of eScience Computations." In 2012 12th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing (CCGrid). IEEE, 2012. http://dx.doi.org/10.1109/ccgrid.2012.72.

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Camillo, Frederic, Eddy Caron, Ronan Guivarch, Aurelie Hurault, Cristian Klein, and Christian Perez. "Resource Management Architecture for Fair Scheduling of Optional Computations." In 2013 Eighth International Conference on P2P, Parallel, Grid, Cloud and Internet Computing (3PGCIC). IEEE, 2013. http://dx.doi.org/10.1109/3pgcic.2013.23.

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Ross, Kenneth A. "Utilizing (and Designing) Modern Hardware for Data-Intensive Computations." In SIGMOD/PODS '21: International Conference on Management of Data. New York, NY, USA: ACM, 2021. http://dx.doi.org/10.1145/3448016.3460535.

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Ramanathan, Manoj, Wei-Yun Yau, and Eam Khwang Teoh. "Human body part detection using likelihood score computations." In 2014 IEEE Symposium on Computational Intelligence in Biometrics and Identity Management (CIBIM). IEEE, 2014. http://dx.doi.org/10.1109/cibim.2014.7015458.

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Zhang, Dengpeng, and Tiecheng Xia. "New Exact Solutions for a Compound KdV-Burgers Equation with Symbolic Computations." In 2011 International Conference on Computer and Management (CAMAN). IEEE, 2011. http://dx.doi.org/10.1109/caman.2011.5778788.

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Oparin, G. A., V. G. Bogdanova, and A. A. Pashinin. "Automation of distributed data management in applied microservices package for scientific computations." In The International Workshop on Information, Computation, and Control Systems for Distributed Environments. Crossref, 2020. http://dx.doi.org/10.47350/iccs-de.2020.20.

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We offer a specialized toolkit for automating both knowledge management when creating an applied microservices package and data accumulating during its application for scientific computations in a hybrid computing environment. The decentralized solving of the declaratively formulated problem is carried out by an active agent group. This group is self-organized by logical inference on the distributed knowledge base of a subject domain. The developed toolkit automates the creating and updating of the local knowledge base of the manager-agent of applied microservices package, as well as the local knowledge bases of distributed computational agents. Local knowledge bases are formed using a description of the interface of computational microservices managed by these agents. Microservice ensembles, corresponding to the active group, are stored in the knowledge base of the manager-agent. The developed toolkit uses this information for testing microservice in the case of its update. In hybrid computing, this toolkit provides synchronizing, archiving, and saving of calculated data. Hybrid infrastructure combines the reliability and availability of using on-premises computers with scaling to the cloud when peak loads occur. The conducted experiments confirmed the effectiveness of the presented approach for solving practically significant scientific problems.
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Reports on the topic "Computations management"

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Capraro, Gerard T. Data Management for an Integrated Computational Environment. Fort Belvoir, VA: Defense Technical Information Center, August 1997. http://dx.doi.org/10.21236/ada329965.

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Chou, Pai, and Nader Bagherzadeh. Integrated Management of Power Aware Computation and Communication (IMPACCT). Fort Belvoir, VA: Defense Technical Information Center, May 2003. http://dx.doi.org/10.21236/ada423807.

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Ramakanth Munipalli, K.Y. Szema, P.Y. Huang, C.M. Rowell, A.Ying, and M. Abdou. CAD-centric Computation Management System for a Virtual TBM. Office of Scientific and Technical Information (OSTI), May 2011. http://dx.doi.org/10.2172/1012627.

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Banks, H. T. Remarks on Uncertainty Assessment and Management in Modeling and Computation. Fort Belvoir, VA: Defense Technical Information Center, January 1998. http://dx.doi.org/10.21236/ada453843.

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Koushik, A., E. Stephan, Q. Zhao, D. King, and J. Hardwick. Path Computation Element Communication Protocol (PCEP) Management Information Base (MIB) Module. RFC Editor, December 2014. http://dx.doi.org/10.17487/rfc7420.

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Davison, Scott, Nicholas Alger, Daniel Zack Turner, Samuel Ramirez Subia, Brian Carnes, Mario J. Martinez, Patrick K. Notz, et al. Computational thermal, chemical, fluid, and solid mechanics for geosystems management. Office of Scientific and Technical Information (OSTI), September 2011. http://dx.doi.org/10.2172/1029788.

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Stine, John A., and Samuel E. Schmitz. Model-Based Spectrum Management. Part 1: Modeling and Computation Manual, Version 2.0. Fort Belvoir, VA: Defense Technical Information Center, December 2013. http://dx.doi.org/10.21236/ada597361.

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García-Espinosa, J., and C. Soriano. Data management plan. Scipedia, 2021. http://dx.doi.org/10.23967/prodphd.2021.9.003.

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This document presents the deliverable D8.1 – the Data Management Plan (DMP) of work package 8 of the prodPhD project. It aims to present the plan for the management, generation, collection, security, preservation and sharing of data generated through the prodPhD project. The DMP is a key element for organizing the project’s data. It provides an analysis of the data, which will be collected, processed and published by the prodPhD consortium. The project embraces the initiatives of the European Commission to promote the open access to research data, aiming to improve and maximize access to and reuse of research data generated by Horizon 2020 projects. In this sense prodPhD will adhere to the Open Research Data Pilot (ORD Pilot) fostered by the European Commission, and this DMP will be developed following the standards of data storage, access and management. This plan will detail what data will be generated through the project, whether and how it will be made accessible for the verification and reuse and how it will be curated and preserved. In this context, the term data applies to the information generated during the different experimental campaigns carried out in the project, and specifically to the data, including associated metadata, to be used to validate the computational models and the technical solutions to be developed in the project. This document is the first version of the DMP and may be updated throughout the project, if significant changes (new data, changes in consortium policies, changes in consortium composition, etc.) arise.
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Seale, Maria, Natàlia Garcia-Reyero, R. Salter, and Alicia Ruvinsky. An epigenetic modeling approach for adaptive prognostics of engineered systems. Engineer Research and Development Center (U.S.), July 2021. http://dx.doi.org/10.21079/11681/41282.

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Prognostics and health management (PHM) frameworks are widely used in engineered systems, such as manufacturing equipment, aircraft, and vehicles, to improve reliability, maintainability, and safety. Prognostic information for impending failures and remaining useful life is essential to inform decision-making by enabling cost versus risk estimates of maintenance actions. These estimates are generally provided by physics-based or data-driven models developed on historical information. Although current models provide some predictive capabilities, the ability to represent individualized dynamic factors that affect system health is limited. To address these shortcomings, we examine the biological phenomenon of epigenetics. Epigenetics provides insight into how environmental factors affect genetic expression in an organism, providing system health information that can be useful for predictions of future state. The means by which environmental factors influence epigenetic modifications leading to observable traits can be correlated to circumstances affecting system health. In this paper, we investigate the general parallels between the biological effects of epigenetic changes on cellular DNA to the influences leading to either system degradation and compromise, or improved system health. We also review a variety of epigenetic computational models and concepts, and present a general modeling framework to support adaptive system prognostics.
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Gantzer, Clark J., Shmuel Assouline, and Stephen H. Anderson. Synchrotron CMT-measured soil physical properties influenced by soil compaction. United States Department of Agriculture, February 2006. http://dx.doi.org/10.32747/2006.7587242.bard.

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Methods to quantify soil conditions of pore connectivity, tortuosity, and pore size as altered by compaction were done. Air-dry soil cores were scanned at the GeoSoilEnviroCARS sector at the Advanced Photon Source for x-ray computed microtomography of the Argonne facility. Data was collected on the APS bending magnet Sector 13. Soil sample cores 5- by 5-mm were studied. Skeletonization algorithms in the 3DMA-Rock software of Lindquist et al. were used to extract pore structure. We have numerically investigated the spatial distribution for 6 geometrical characteristics of the pore structure of repacked Hamra soil from three-dimensional synchrotron computed microtomography (CMT) computed tomographic images. We analyzed images representing cores volumes 58.3 mm³ having average porosities of 0.44, 0.35, and 0.33. Cores were packed with < 2mm and < 0.5mm sieved soil. The core samples were imaged at 9.61-mm resolution. Spatial distributions for pore path length and coordination number, pore throat size and nodal pore volume obtained. The spatial distributions were computed using a three-dimensional medial axis analysis of the void space in the image. We used a newly developed aggressive throat computation to find throat and pore partitioning for needed for higher porosity media such as soil. Results show that the coordination number distribution measured from the medial axis were reasonably fit by an exponential relation P(C)=10⁻C/C0. Data for the characteristic area, were also reasonably well fit by the relation P(A)=10⁻ᴬ/ᴬ0. Results indicates that compression preferentially affects the largest pores, reducing them in size. When compaction reduced porosity from 44% to 33%, the average pore volume reduced by 30%, and the average pore-throat area reduced by 26%. Compaction increased the shortest paths interface tortuosity by about 2%. Soil structure alterations induced by compaction using quantitative morphology show that the resolution is sufficient to discriminate soil cores. This study shows that analysis of CMT can provide information to assist in assessment of soil management to ameliorate soil compaction.
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