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EN
Wireless sensor networks (WSNs) are ad hoc and self-configuring networks having the possibility that any sensor node can connect or leave the network. With no central controller in WSN, wireless sensor nodes are considered responsible for data routing in the networks. The wireless sensor nodes are very small in size and have limited resources, therefore, it becomes difficult to recharge or replace the battery of the sensor nodes at far places. The present study focused on reducing the battery consumption of the sensor nodes by the deployment of the newly proposed Fault Tolerance Multipath Routing Protocol (MRP-FT) as compared with the existing Low Energy Adaptive Clustering Hierarchy (LEACH) protocol under particle swarm optimisation based fault tolerant routing (PSO-FT) technique. The proposed algorithm of MRP-FT-based on the dynamic clustering technique using Boltzmann learning of the neural network and the weights were adjusted according to the area of networks, number of nodes and rounds, the initial energy of nodes (E0), transmission energy of nodes (d
EN
The origin of a cost-efficient, service-oriented, customer-centric, manufacturing system called cloud manufacturing has evolved due to advancements in cyber systems and the availability of internet facilities worldwide. However, there is a significant number of opportunities before the adoption of cloud manufacturing. Through literature survey, expert opinions from academicians and industrialists, various opportunities, namely, pay-as-use, scalability, cost efficiency, flexibility, autonomy, low-risk backup and recovery, low startup cost and location independence associated with the espousal of cloud manufacturing are identified. Further, the Analytic Hierarchy Process (AHP) model is applied to find the weights and prioritize these opportunities, thereby finding the significant key opportunities. Moreover, the consistency ratio is calculated for the accuracy and consistency of the results. As the obtained value of consistency ratio is less than .1, it shows that the result obtained is consistent and accurate. The managerial implication of these outcomes is that the results would indirectly help entrepreneurs in the adoption of cloud manufacturing.
PL
Architektura monolityczna oraz mikroserwisów to dwa popularne sposoby budowania aplikacji sieciowych. Artykuł zawiera ich porównania na podstawie przeprowadzonych badan wydajnościowych. Podsumowanie zawiera rekomendacje do stosowania określonego rodzaju architektury w konkretnym przypadku.
EN
Monolithic architecture and microservices are two popular ways to build web applications. The article contains their comparisons based on the conducted performance research. The summary includes recommendations for the use of a specific type of architecture in a specific case.
EN
The basic parallel versions of the Danish Eulerian Model (UNI-DEM) has been implemented on the new petascale supercomputer DISCOVERER, installed last year in Sofia, Bulgaria by the company Atos. DISCOVERER is part of the European High Performance Computing Joint Undertaking (EuroHPC), which is building a network of 8 powerful supercomputers across the European Union (3 pre-exascale and 5 petascale).The results of some scalability experiments with the basic MPI and a hybrid MPI-OpenMP parallel implementations of UNI-DEM on the new Bulgarian petascale supercomputer DISCOVERER (in EuroHPC network) are presented here. They are compared with similar earlier experiments performed on the Mare Nostrum III supercomputer (petascale too) at Barcelona Supercomputing Centre - the most powerful supercomputer in Spain by that time, upgraded currently to the pre-exascale Mare Nostrum V, also part of the EuroHPC JU infrastructure.
EN
This paper presents a modular and scalable power electronics concept for motor control with continuous output voltage. In contrast to multilevel concepts, modules with continuous output voltage are connected in series. The continuous output voltage of each module is obtained by using gallium nitride (GaN) high electron motility transistor (HEMT)s as switches inside the modules with a switching frequency in the range between 500 kHz and 1 MHz. Due to this high switching frequency a LC filter is integrated into the module resulting in a continuous output voltage. A main topic of the paper is the active damping of this LC output filter for each module and the analysis of the series connection of the damping behaviour. The results are illustrated with simulations and measurements.
EN
Scalability is a key feature of reconfigurable manufacturing systems (RMS). It enables fast and cost-effective adaptation of their structure to sudden changes in product demand. In principle, it allows to adjust a system's production capacity to match the existing orders. However, scalability can also act as a "safety buffer" to ensure a required minimum level of productivity, even when there is a decline in the reliability of the machines that are part of the machine tool subsystem of a manufacturing system. In this article, we analysed selected functional structures of an RMS under design to see whether they could be expanded should the reliability of machine tools decrease making it impossible to achieve a defined level of productivity. We also investigated the impact of the expansion of the system on its reliability. To identify bottlenecks in the manufacturing process, we ran computer simulations in which the course of the manufacturing process was modelled and simulated for 2-, 3-, 4- and 5-stage RMS structures using Tecnomatix Plant Simulation software.
EN
We describe an approach for efficient solution of large-scale convective heat transfer problems that are formulated as coupled unsteady heat conduction and incompressible fluid-flow equations. The original problem is discretized over time using classical implicit methods, while stabilized finite elements are used for space discretization. The algorithm employed for the discretization of the fluid-flow problem uses Picard’s iterations to solve the arising nonlinear equations. Both problems (the heat transfer and Navier–Stokes equations) give rise to large sparse systems of linear equations. The systems are solved by using an iterative GMRES solver with suitable preconditioning. For the incompressible flow equations, we employ a special preconditioner that is based on an algebraic multigrid (AMG) technique. This paper presents algorithmic and implementation details of the solution procedure, which is suitably tuned – especially for ill-conditioned systems that arise from discretizations of incompressible Navier–Stokes equations. We describe a parallel implementation of the solver using MPI and elements from the PETSC library. The scalability of the solver is favorably compared with other methods, such as direct solvers and the standard GMRES method with ILU preconditioning.
8
Content available remote A Set-theoretic Approach to Reasoning Services for the Description Logic DL4,xD
EN
In this paper we consider the most common TBox and ABox reasoning services for the description logic 𝒟ℒ〈4LQSR,x 〉(D) (𝒟 ℒD 4,×, for short) and prove their decidability via a reduction to the satisfiability problem for the set-theoretic fragment 4LQSR. 𝒟 ℒD 4,× is a very expressive description logic. It combines the high scalability and efficiency of rule languages such as the Semantic Web Rule Language (SWRL) with the expressivity of description logics. In fact, among other features, it supports Boolean operations on concepts and roles, role constructs such as the product of concepts and role chains on the left-hand side of inclusion axioms, role properties such as transitivity, symmetry, reflexivity, and irreflexivity, and data types. We further provide a KE-tableau-based procedure that allows one to reason on the main TBox and ABox reasoning tasks for the description logic 𝒟 ℒ D 4,× . Our algorithm is based on a variant of the KE-tableau system for sets of universally quantified clauses, where the KE-elimination rule is generalized in such a way as to incorporate the γ-rule. The novel system, called KEγ -tableau, turns out to be an improvement of the system introduced in [1] and of standard first-order KE-tableaux [2]. Suitable benchmark test sets executed on C++ implementations of the three mentioned systems show that in several cases the performances of the KEγ -tableau-based reasoner are up to about 400% better than the ones of the other two systems.
EN
The need for the scalability of an algorithm is essential when one wants to utilize an HPC infrastructure in an efficient and reasonable way. In such infrastructures, synchronization affects the efficiency of the parallel algorithms. However, one can consider introducing certain means of desynchronization in order to increase the scalability. Allowing certain messages to be omitted or delayed can be easily accepted in the case of metaheuristics. Furthermore, some simulations can also follow this pattern and thereby handle bigger environments. The paper presents a short survey on the desynchronization idea, pointing out already obtained results, or sketching out future work focused on scaling the parallel and distributed computing or simulation algorithms.
10
Content available remote Community Detection in Model-based Testing to Address Scalability: Study Design
EN
Model-based GUI testing has achieved widespread recognition in academy thanks to its advantages compared to code-based testing due to its potentials to automate testing and the ability to cover bigger parts more efficiently. In this study design paper, we address the scalability part of the model-based GUI testing by using community detection algorithms. A case study is presented as an example of possible improvements to make a model-based testing approach more efficient. We demonstrate layered ESG models as an example of our approach to consider the scalability problem. We present rough calculations with expected results, which show 9 times smaller time and space units for 100 events ESG model when a community detection algorithm is applied.
EN
In this paper, we describe the design and analysis of a Soft Cubic Module (SCM) with a single internal pneumatically actuated chamber. The actuation chamber’s shape, size and, orientation have been evaluated to realize a soft robotic actuator which can be further employed for the development of modular soft robotic systems. SCM can be easily manufactured through the molding process and it is composed of single soft material, the silicone polymer. Its external shape allows utilization of this module as a single block actuator as well as makes it easy to combine multiple SCM modules to build multiunit soft robotic systems. We consider it as our first tool to investigate whether the SCM scheme is sufficient to build soft robots which would be able to perform certain given tasks in various configurations like a soft gripper, bio-mimetic crawling mechanism or multi-axis manipulator. So far, the results obtained are encouraging in order to further develop and employ the SCM design scheme, focusing on its further geometrical optimization for both standalone configuration and assembly of multiple modules to realize novel, economic and easy to fabricate soft robotic systems.
12
Content available Model wydajnego i skalowalnego systemu integracji
PL
Niniejsza praca rozwiązuje problem projektu wydajnej i skalowalnej architektury systemu integracyjnego oraz doboru odpowiednich komponentów do jej praktycznej realizacji. Na podstawie przeprowadzonej analizy porównawczej różnych realizacji platform integracyjnych, bazujących na zaproponowanej architekturze wskazano, że w celu zastosowania modelu przesyłania komunikatów typu punkt-punkt najszybszym brokerem integracyjnym jest RabbitMQ, w połączeniu z protokołem AMQP. Dla modelu przesyłania komunikatów publikuj-subskrybuj, brokerem, który najszybciej przesłał określoną liczbę wiadomości jest Apache Kafka, z własnym dedykowanym protokołem.
EN
This thesis solves the problem of designing an efficient and scalable architecture of the integration system and selecting the appropriate components for its practical implementation. Based on the research conducted on integration platforms consisting of specially selected components, it was pointed out that in order to implement the point-to-point messaging model, the fastest integration broker is RabbitMQ, in combination with the AMQP protocol. For the publishsubscribe messaging model the fastest broker is Apache Kafka, with its own dedicated protocol.
EN
Image edge detection plays a crucial role in image analysis and computer vision, it is defined as the process of finding the boundaries between objects within the considered image. The recognized edges may further be used in object recognition or image matching. In this paper a Canny image edge detector is used which gives acceptable results that can be utilized in many disciplines, but this technique is time-consuming especially when a big collection of images is analyzed. For that reason, to enhance the performance of the algorithms, a parallel platform allowing speeding up the computation is used. The scalability of a multicore supercomputer node, which is exploited to run the same routines for a collection of color images (from 2100 to 42000 images) is investigated.
EN
Reliable knowledge of a ship’s position and movement in relation to other traffic participants and obstacles is a fundamental requirement for navigation and avoiding collisions and groundings. Consequently, the onboard provision of resilient position, navigation and time data (PNT) is emphasized by the International Maritime Organization’s (IMO) e-navigation strategy, solution S3 “Improved reliability, resilience and integrity of bridge equipment and navigation information” and by the assigned risk control option RCO5 “Improved reliability and resilience of onboard PNT systems”. An initial step towards resilient PNT has been realized by the maritime community with the development of the performance standards for shipborne multi-system radionavigation receiver equipment (MRR). This MRR performance standard (PS) supports the full use of data coming from current and future radionavigation systems and services. Consequently, the combined use of several global navigation satellite systems (GNSS) and the additional use of space based augmentation systems (SBAS) as well as optional terrestrial radionavigation systems (e.g. eLoran or R-Mode) will be supported to increase the performance of positioning and timing. As a second step, the development of guidelines for an onboard PNT (data processing) unit has been identified as supplementary and necessary. The starting point is the onboard use of a combination of GNSS receivers and autarkic systems (e.g. radar, gyro, echosounders with bathymetric data) for a comprehensive provision of required PNT data. Redundancy in the available data enables the application of integrity monitoring functions to evaluate the current usability of safety-critical data and components. The aim of the guidelines is the specification of data processing rules towards the resilient provision of standardized PNT data and integrity information. For this purpose, a modular architecture for an onboard PNT system is introduced and scaled to the need for data input as well as the performance of data output.
EN
In the paper an overview of scalability and reliability in the SDN (Software Defined Networks) networks has been presented. Problems and limitations for guaranteeing scalability and reliability in SON networks have been indicated. Known methods for assuring scalability and reliability in SDN networks have been described. Projects from research communities for resolving issues with scalability and reliability in SDN networks have been presented. Scientific projects have been categorized based on their common features and the methods for resolving the issues with scalability and reliability. A future field of scientific research has been outlined and all of the presented projects have been graded based on their functionality.
PL
Przedstawiono zagadnienie skalowalności oraz niezawodności w sieciach sterowanych programowo (SON - Software Defined Networking). Omówiono problemy i ograniczenia związane z gwarantowaniem skalowalności oraz niezawodności w sieciach SDN. Opisano znane metody zapewniania skalowalności oraz niezawodności w sieciach SDN. Zaprezentowano projekty środowisk naukowych opracowanych w celu eliminacji problemów ze skalowalnością i niezawodnością w sieciach SON. Dokonano kategoryzacji projektów badawczych ze względu na współdzielone cechy i podejścia do rozwiązania problemu. Przedstawiono dalsze pole do badań naukowych oraz oceniono każdy z przedstawionych projektów pod względem funkcjonalności.
PL
Artykuł prezentuje możliwości zastosowania metod geomatycznych do oceny jakości sporządzonych rysunków miejscowych planów zagospodarowania przestrzennego w aspekcie możliwości ich kontrolowanego rozwoju. Skalowalność, badana w poniższym artykule jest miarą możliwego powielania rozwiązań planistycznych z zakresu komunikacji, optymalizacji wielkości działek budowlanych, rozwoju terenów podmiejskich i racjonalnego wykorzystywania możliwych terenów inwestycyjnych dla budownictwa mieszkaniowego. Analizę przestrzenną wykonano w oparciu o techniki GIS i funkcje zaimplementowane do obsługi przestrzennych baz danych. Skorzystano z wolnego oprogramowania: SQLite/ Spatialite, SpatiaLite_GUI, QGIS.
EN
This article presents the possibility of applying geomatic methods to evaluate the of drawn local development plans quality in terms of of their controlled development possibility. Scalability tested in this article is a measure of the possible duplication of planning solutions, roads communication, size plots optimizing, the development of suburban areas and rational use of possible housing areas. Spatial analysis was performed on GIS technology and functions implemented to spatial databases supporting. A free software: SQLite/SpatiaLite, SpatiaLite_GUI, QGIS was used to perform analises.
EN
Consolidation processes ongoing in polish healthcare sector combined with continuous pressure for cost reduction (including IT costs) forces software vendors to use modern technologies, especially in software architecture area. This article describes concept of architecture for HIS system based on micro-services architecture, which ensures stability, performance and scalability, which is crucial in case of deployment the solution in federated hospitals.
PL
Procesy konsolidacyjne przebiegające w służbie zdrowia oraz nieustająca presja na ograniczanie kosztów (w tym kosztów IT) wymuszają na dostawcach oprogramowania dla szpitali stosowanie nowoczesnych rozwiązań, szczególnie w obszarze architektury systemu. Artykuł opisuje koncepcję architektury systemu klasy HIS opartą na mikrousługach, która zapewnia stabilność, wydajność i łatwość skalowania, co jest kluczowym zagadnieniem w przypadku wdrożenia systemu w sieci jednostek ochrony zdrowia.
18
Content available remote Scalability tests of the direct numerical simulation solver UNS3
EN
In this paper analysis of scalability of the solver UNS3, dedicated to direct numerical simulation (DNS) of Navier-Stokes equations, is presented. Efficiency of parallel computations has been examined with the use of a PC cluster built by the Division of Virtual Engineering. Tests have been carried out on a different number of partitions, in the range of 1÷80. The test case was steady flow around a wall-mounted circular cylinder with Reynolds number set to the value of Re = 10. The research included the measurement of preparatory time, calculation time, communication time, speedup, core hours and efficiency.
PL
W niniejszym artykule zawarto analizę skalowalności solwera UNS3 służącego do obliczeń CFD (ang. computational fluid dynamics) typu DNS (ang. direct numerical simulation). Skuteczność wykorzystania wielowątkowości sprawdzano przy użyciu klastra Zakładu Inżynierii Wirtualnej. Badania prowadzono na procesorach typu Intel® CoreTM 2 Quad oraz Intel® Xeon® przy ilości partycji w zakresie 1÷80. Za testowe zadanie posłużyły obliczenia stacjonarne opływu cylindra o przekroju kołowym zamocowanego na ścianie, przy liczbie Reynoldsa Re = 10. Badano czas obliczeń, czas komunikacji międzywęzłowej, przyspieszenie w wyniku zrównoleglenia, zużycie zasobów oraz efektywność ich wykorzystania.
PL
Efektywność energetyczna, skalowalność i odporność na awarie centrów przetwarzania danych zależą od wielu czynników, ale nie może być żadnych wątpliwości, że jednym z najważniejszych jest instalacja zasilania gwarantowanego (UPS). Istnieje jednak wieIe problemów związanych z projektowaniem instalacji UPS, która łączy sprawność : odpornością i skalowalnością. Artykuł ten przedstawia wyzwania i wyjaśnia, w jaki sposób można skutecznie i kosztowo efektywnie realizować założenia inwestora korzystając z najnowszych osiągnięć w technologii UPS.
PL
Jest oczywiste, że systemy zasilania gwarantowanego z wielu względów muszą być odporne na awarie. W pierwszej części cyklu poświęconego temu zagadnieniu autor zajmuje się uwarunkowaniami istniejącymi w projektowaniu między skalowalnością instalacji UPS a jej niezawodnością, rozbudową i możliwościami stosowania bypassów (systemy łączące rozproszone moduły bypassow z modułowymi zasilaczami UPS).
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