Arbetet bygger på förbättring av befintlig arkitektur för en tjänst som beräknar koldioxidutsläpp för molntjänster. Nuvarande arkitektur bygger på att samla ihop och klumpa stora mängder data i form av användarrapporter. Därefter körs frågor mot det data för att få ut relevant information. Detta kan ta väldigt lång tid. För att försöka påskynda denna process görs en undersökning om man kan minska tiden som går åt att köra frågor mot data om datamängden blir mindre. Detta uppnås genom att filtrera bort oönskad data ur mängden innan man kör frågor mot det. Vidare undersöks om den nya arkitekturen kan möjliggöra för enklare implementation av nya funktioner till tjänsten. Metoden för undersökningen var att bygga en alternativ arkitektur med hjälp av AWS och dess tjänster. Resultaten visar på att även om mängden data som skannas är nästan oförändrat så minskas körtiden avsevärt när den totala storleken på datamängden minskar. Vidare bidrar den nya arkitekturen till enklare implementation av nya tjänster än tidigare. / The current architecture the stakeholders are using consists of collecting large amounts of data. After the data is collected it is queried for relevant information. This query process can take a long time. This report looks at if it is possible to reduce this time by reducing the data size. This is done by filtering the data before doing queries towards it. Furthermore this report will investigate if the new architecture can make it easier to implement new functionality. To investigate these questions a new architecture will be built using AWS. The results show that even though scanning nearly the same amount of data, with the total data size reduced one can drastically reduce the query times. Furthermore this new architecture makes it easier to implement new functionality.

Submitted by Luciana Ferreira (lucgeral@gmail.com) on 2015-05-19T14:40:22Z No. of bitstreams: 2 Dissertação - Fernando Arnulfo Zuniga Argote - 2015.pdf: 631746 bytes, checksum: 0d49f26d4f922ddd70836a2024ad5850 (MD5) license_rdf: 23148 bytes, checksum: 9da0b6dfac957114c6a7714714b86306 (MD5) / Approved for entry into archive by Luciana Ferreira (lucgeral@gmail.com) on 2015-05-19T14:50:54Z (GMT) No. of bitstreams: 2 Dissertação - Fernando Arnulfo Zuniga Argote - 2015.pdf: 631746 bytes, checksum: 0d49f26d4f922ddd70836a2024ad5850 (MD5) license_rdf: 23148 bytes, checksum: 9da0b6dfac957114c6a7714714b86306 (MD5) / Made available in DSpace on 2015-05-19T14:50:54Z (GMT). No. of bitstreams: 2 Dissertação - Fernando Arnulfo Zuniga Argote - 2015.pdf: 631746 bytes, checksum: 0d49f26d4f922ddd70836a2024ad5850 (MD5) license_rdf: 23148 bytes, checksum: 9da0b6dfac957114c6a7714714b86306 (MD5) Previous issue date: 2015-02-27 / Conselho Nacional de Pesquisa e Desenvolvimento Científico e Tecnológico - CNPq / In this work we refer to the study of a geometric invariant surfaces immersed in Euclidean 3-dimensional sphere S3. Such invariant, known as angle contact, is the complementary angle between the distribution of contact d and the tangent space of the surface. Montes and Verderesi [22] characterized the minimal surfaces in S3 with constant contact angle and Almeida, Brazil and Montes [4] studied some properties of immersed constant mean curvature into a round sphere S3 with constant contact angle. The our aim of this work is to deduce a general formula involving the Gaussian curvature, the mean curvature and the contact angle of surfaces immersed in Euclidean sphere 3-dimensional, which shows that the surface is flat if the contact angle is constant. Moreover, we deduce that the Clifford tori are the unique compact surfaces with constant mean curvature having such propriety. Keywords / Neste trabalho nos referimos ao estudo de um invariante geométrico de superfícies imersas na esfera Euclidiana 3-dimensional S3. Tal invariante, conhecido como ângulo de contato, é o complementar do ângulo entre a distribuição de contato d e o espaço tangente da superfície. Montes e Verderesi [22] caracterizaram as superfícies mínimas em S3 com ângulo de contato constante e Almeida, Brasil e Montes [4] estudaram algumas propriedades de superfícies imersas com curvatura média e ângulo de contato constantes em S3. Nosso objetivo será apresentar uma relação entre a curvatura Gaussiana, a curvatura média e o ângulo de contato de superfícies imersas na esfera Euclidiana 3-dimensional, a qual permite concluir que a superfície é plana se o ângulo de contato for constante. Além disso, concluiremos que o toro de Clifford é a única superfície compacta com curvatura média constante tendo tal propriedade.

Le projet SPIRAL2 permettra de produire au GANIL des faisceaux radioactifs et stables très intenses. Repoussant les limites actuelles de nos connaissances, il constitue une opportunité pour de nombreux domaines de la physique nucléaire. Le Super Séparateur Spectromètre S3 et son système de détection au plan focal SIRIUS ont été conçus afin de tirer le meilleur parti de ces faisceaux stables intenses notamment au profit des recherches sur les éléments N=Z proches de l'étain-100 et des noyaux super lourds. Ce travail de thèse portent sur les détecteurs silicium Tunnel de SIRIUS, avec d'un côté des simulations GEANT4 de l'ensemble de SIRIUS et d'un autre côté son pendant expérimental avec l'étude des prototypes des Tunnel de SIRIUS. Les simulations ont permis, outre la caractérisation de l'efficacité de détection et des limites induites en terme de conception mécanique, de mettre en lumière le bond en avant permis par l'avènement de détecteurs silicium presque sans zones mortes. La partie dédiée aux manipulations commence par la présentation du banc de test mis en place à l'IPHC pour recevoir et tester les détecteurs prototypes et pré-série. Le détecteur Tunnel est également présenté dans son contexte scientifique et technique. Les études des prototypes de détecteurs Tunnel et les résultats obtenus sont détaillés. Enfin, l'évolution vers les détecteurs de série est présentée sur la base des améliorations réalisées et constatées pour le détecteur de pré-série. / The SPIRAL2 project will enable the production at GANIL of very intense radioactive and stable beams. Pushing the present-day limits of knowledge, it represents an opportunity for several fields of nuclear physics. The Super Separator Spectrometer S3 associated to its focal-plane detection system SIRIUS will take the best possible benefit of these intense stable beams especially for researches on the N=Z nuclei close to Tin-100 and on the super heavy elements. This thesis is dedicated to the SIRIUS Tunnel silicon detectors, with GEANT4 simulations and their corresponding experimental study of the SIRIUS Tunnel detectors prototypes. In addition to the detection efficiency characterization and the setting of corresponding limits on mechanical conceptual drawings, the simulations have enabled to shed light on the major forward step brought by zero dead-layer silicon detectors. The section dedicated to the manipulations starts with the presentation of the test bench set up at IPHC in order and test the prototypes and pre-series detectors. The Tunnel detector is also presented in its scientific and technical context. The Tunnel detector prototypes studies and the results obtained are detailed. Finally, the evolution toward series detectors is presented on the basis of the improvements done with the pre-series detector.

Our eyes are horizontally separated in the head by approximately 6.5cm. As a result of this separation there are subtle differences in the position of corresponding image points within the two eyes. The horizontal component of this binocular positional difference is termed horizontal disparity. Horizontal disparity is an important visual cue as once scaled with an estimate of the viewing distance, it can theoretically provide full metric information about the structure of the world. This thesis will address the issue of how binocular visual cues are used by the human visual system for the estimation of three-dimensional (3-D) shape for perception and visuomotor control. The research presented is particularly focused on understanding why biases in the perception of 3-D shape from binocular cues are found, their importance for perception and visuomotor control and how these biases may be overcome by combining binocular cues with other sources of visual information.

zoo is an R package providing an S3 class with methods for indexed totally ordered observations, such as irregular time series. Its key design goals are independence of a particular index/time/date class and consistency with base R and the "ts" class for regular time series. This paper describes how these are achieved within zoo and provides several illustrations of the available methods for "zoo" objects which include plotting, merging and binding, several mathematical operations, extracting and replacing data and index, coercion and NA handling. A subclass "zooreg" embeds regular time series into the "zoo" framework and thus bridges the gap between regular and irregular time series classes in R. / Series: Research Report Series / Department of Statistics and Mathematics

S3 (Softwood Sawmill Simulator) is a sawmill simulation system for modeling the operations of Pacific Northwest softwood lumber mills. S3 consists of three main parts. The first part is the framework for construction of the sawmill layout. The second part focuses on individual machine centers, their process and down times, and their interconnections. The third part consists of databases for raw material and final products. S3 inputs process logic from external data files. All parts are integrated in an object-oriented framework. The system was developed using the object-oriented environment, Actor. All data input and output are through database files in dBASE IV format. S3 can model a sawmill represented by the machine center and connection types defined in S3. The size of the model is controlled by the Actor programming environment. The construction of a sawmill model is demonstrated. / Graduation date: 1993

No description available.

Diploma thesis on Accounting outsourcing and key problems of selected software for accounting deals with the accounting outsourcing. Work focuses here on the question of the proper selection of an accounting firm and on the conditions of cooperation with it. In this work the reader is also acquainted with some software for accounting and with their advantages and disadvantages.

The relevance of data processing and analysis today cannot be overstated. The convergence of several technological advancements has fostered the proliferation of systems and infrastructure that together support the generation, transmission, and storage of nearly 15,000 exabytes of digital, analyzabledata. The Hadoop Distributed File System (HDFS) is an open source system designed to leverage the storage capacity of thousands of servers, and is the file system component of an entire ecosystem of tools to transform and analyze massive data sets. While HDFS is used by organizations of all sizes, smaller ones are not as well-suited to organically grow their clusters to accommodate their ever-expanding data sets and processing needs. This is because larger clusters are concomitant with higher investment in servers, greater rates of failures to recover from, and the need to allocate moreresources in maintenance and administration tasks. This poses a potential limitation down the road for organizations, and it might even deter some from venturing into the data world altogether. This thesis addresses this matter by presenting a novel implementation of HopsFS, an already improved version of HDFS, that requires no user-managed data servers. Instead, it relies on S3, a leading object storage service, for all its user-data storage needs. We compared the performance of both S3-based and regular clusters and found that such architecture is not only feasible, but also perfectly viable in terms of read and write throughputs, in some cases even outperforming its original counterpart. Furthermore, our solution provides first-class elasticity, reliability, and availability, all while being remarkably more affordable. / Relevansen av databehandling och analys idag kan inte överdrivas. Konvergensen av flera tekniska framsteg har främjat spridningen av system och infrastruk-tur som tillsammans stöder generering, överföring och lagring av nästan 15,000 exabyte digitala, analyserbara data. Hadoop Distributed File System (HDFS) är ett öppen källkodssystem som är utformat för att utnyttja lagringskapaciteten hos tusentals servrar och är filsystemkomponenten i ett helt ekosystem av verktyg för att omvandla och analysera massiva datamängder. HDFS används av organisationer i alla storlekar, men mindre är inte lika lämpade för att organiskt växa sina kluster för att tillgodose deras ständigt växande datamängder och behandlingsbehov. Detta beror på att större kluster är samtidigt med högre investeringar i servrar, större misslyckanden att återhämta sig från och behovet av att avsätta mer resurser i underhålls- och administrationsuppgifter. Detta utgör en potentiell begränsning på vägen för organisationer, och det kan till och med avskräcka en del från att våga sig helt in i datavärlden. Denna avhandling behandlar denna fråga genom att presentera en ny implementering av HopsFS, en redan förbättrad version av HDFS, som inte kräver några användarhanterade dataservrar. Istället förlitar sig det på S3, en ledande objektlagringstjänst, för alla dess användardata lagringsbehov. Vi jämförde prestandan för både S3-baserade och vanliga kluster och fann att sådan arkitektur inte bara är möjlig, utan också helt livskraftig när det gäller läs- och skrivgenomströmningar, i vissa fall till och med bättre än dess ursprungliga motsvarighet. Dessutom ger vår lösning förstklassig elasticitet, tillförlitlighet och tillgänglighet, samtidigt som den är anmärkningsvärt billigare.

Traditional HPC scientific workloads are tightly coupled, while emerging scientific workflows exhibit even more complex patterns, consisting of multiple characteristically different stages that may be IO-intensive, compute-intensive, or memory-intensive. New high-performance computer systems are evolving to adapt to these new requirements and are motivated by the need for performance and efficiency in resource usage. On the other hand, cloud workloads are loosely coupled, and their systems have matured technologies under different constraints from HPC. In this thesis, the use of cloud technologies designed for loosely coupled dynamic and elastic workloads is explored, repurposed, and examined in the landscape of HPC in three major parts. The first part deals with the deployment of HPC workloads in cloud-native environments through the use of containers and analyses the feasibility and trade-offs of elastic scaling. The second part relates to the use of workflow management systems in HPC workflows; in particular, a molecular docking workflow executed through Airflow is discussed. Finally, object storage systems, a cost-effective and scalable solution widely used in the cloud, and their usage in HPC applications through MPI I/O are discussed in the third part of this thesis. / Framväxande vetenskapliga applikationer är mycket datatunga och starkt kopplade. Nya högpresterande datorsystem anpassar sig till dessa nya krav och motiveras av behovet av prestanda och effektivitet i resursanvändningen. Å andra sidan är moln-applikationer löst kopplade och deras system har mogna teknologier som utvecklats under andra begränsningar än HPC. I den här avhandlingen diskuteras användningen av moln-teknologier som har mognat under löst kopplade applikationer i HPC-landskapet i tre huvuddelar. Den första delen handlar om implementeringen av HPC-applikationer i molnmiljöer genom användning av containrar och analyserar genomförbarheten och avvägningarna av elastisk skalning. Den andra delen handlar om användningen av arbetsflödeshanteringsystem i HPC-arbetsflöden; särskilt diskuteras ett molekylär dockningsarbetsflöde som utförs genom Airflow. Objektlagringssystem och deras användning inom HPC, tillsammans med ett gränssnitt mellan S3-standard och MPI I/O, diskuteras i den tredje delen av denna avhandling / <p>QC 20231122</p>