Search results for "cloud computing"

showing 10 items of 327 documents

Carbon monoxide detection

2019

Carbon monoxide (CO) is a particularly toxic gas, and the CO poisoning is the leading cause of fatal poisoning in the world. One solution to deal with this dangerous gas is to exploit the advantages given to us by the applications and the technology advances in internet of things (IoT). In this context, we propose to integrate carbon monoxide detection objects to the internet, as part of civil protection intervention applications in case of detection of carbon monoxide to avoid poisoning. To do this, we propose a typical IoT architecture to manage the alerts sent to civil protection in the event of detection of carbon monoxide (CO). The architecture is based on the Message Queue Telemetry T…

MQTTExploitComputer scienceEvent (computing)business.industry020206 networking & telecommunicationsContext (language use)Cloud computing02 engineering and technologyComputer securitycomputer.software_genre0202 electrical engineering electronic engineering information engineeringThe InternetCommunications protocolbusinesscomputerMessage queueProceedings of the 3rd International Conference on Future Networks and Distributed Systems
researchProduct

2020

The growth of cloud-based services is mainly supported by the core networking infrastructures of large-scale data centers, while the scalability of these services is influenced by the performance and dependability characteristics of data centers. Hence, the data center network must be agile and reconfigurable in order to respond quickly to the ever-changing application demands and service requirements. The network must also be able to interconnect the big number of nodes, and provide an efficient and fault-tolerant routing service to upper-layer applications. In response to these challenges, the research community began exploring novel interconnect topologies, namely: Flecube, DCell, Ficonn…

InterconnectionComputer Networks and CommunicationsNetwork packetbusiness.industryComputer scienceQuality of service020206 networking & telecommunicationsCloud computing02 engineering and technologyTopologyNetwork topologyAverage path lengthBottleneckComputer Science ApplicationsScalabilityNode (computer science)0202 electrical engineering electronic engineering information engineeringDependabilityData centerElectrical and Electronic EngineeringbusinessSoftwareIEEE/ACM Transactions on Networking
researchProduct

Intelligent Cloud Storage Management for Layered Tiers

2018

Today, the cloud offers a large array of possibilities for storage, with this flexibility comes also complexity. This complexity stems from the variety of storage mediums, such as, blob storage or NoSQL tables, and also from the different cost tiers within these systems. A strategic thinking to navigate this complex cloud storage landscape is important, not only for cost saving but also for prioritizing information, this prioritization has wider implications in other domains such as the Big Data realm, especially for governance and efficiency. In this paper we propose a strategy centered around probabilistic graphical model (PGM), this heuristic oriented management and organizational strate…

Flexibility (engineering)0209 industrial biotechnologyComputer scienceHeuristicbusiness.industryDistributed computingBig dataProbabilistic logicBinary large objectCloud computing02 engineering and technologyNoSQLcomputer.software_genre020901 industrial engineering & automation0202 electrical engineering electronic engineering information engineering020201 artificial intelligence & image processingbusinessCloud storagecomputer
researchProduct

Selection of the Proper Revenue and Pricing Model for SaaS

2014

Recent research on software revenue and pricing models has revealed important ways in which firms can benefit from software renting. However, it is still unclear how SaaS providers select a proper revenue and pricing model to make their services attractive for customers. Based on 32 interviews with software professionals from four case firms, this study reveals how different factors impacted on the selection of a revenue and pricing model. It can be concluded that customers’ needs were the main driving force to the selection of the most appropriate pricing and revenue model in the market. peerReviewed

ta113TheoryofComputation_MISCELLANEOUSbusiness.industryComputer scienceSoftware as a servicecloud computingCloud computingSaaSRentingSoftwareRevenue modelrevenue modelsRevenueYield managementbusinesssoftware pricingSelection (genetic algorithm)Industrial organization2014 IEEE 6th International Conference on Cloud Computing Technology and Science
researchProduct

Accelerating bioinformatics applications via emerging parallel computing systems [Guest editorial]

2015

The papers in this issue focus on advanced parallel computing systems for bioinformatics applications. This papers provide a forum to publish recent advances in the improvement of handling bioinformatics problems on emerging parallel computing systems. These systems can be characterized by exploiting different types of parallelism, including fine-grained versus coarse-grained and thread-level parallelism versus datalevel parallelism versus request-level parallelism. Hence, parallel computing systems based on multi- and many-core CPUs, many-core GPUs, vector processors, or FPGAs offer the promise to massively accelerate many bioinformatics algorithms and applications, ranging from computeint…

Focus (computing)Parallelism (rhetoric)Computer sciencebusiness.industryApplied MathematicsCloud computingParallel computingBioinformaticsComputing MethodologiesGeneticsData-intensive computingUnconventional computingbusinessField-programmable gate arrayMassively parallelBiotechnologyIEEE/ACM Transactions on Computational Biology and Bioinformatics
researchProduct

A Morphological Clustering Method for daily solar radiation curves

2011

Abstract We present a new method based on Mathematical Morphology techniques for the classification of solar radiation curves that we call MfCM. The main advantage of using MfCM as opposed to daily clearness index distributions is that it allows us to keep the dynamics of the solar radiance curves in the analysis: both cloud transitions and variability in direct radiation are simultaneously taken into account. To illustrate our proposal, we use a set of real radiation data collected in a location sited in southern Spain.

Index (economics)Renewable Energy Sustainability and the Environmentbusiness.industryComputer scienceCloud computingMathematical morphologyRadiationDirect radiationSet (abstract data type)RadianceGeneral Materials ScienceCluster analysisbusinessRemote sensingSolar Energy
researchProduct

MODIS-Based Monthly LST Products over Amazonia under Different Cloud Mask Schemes

2016

One of the major problems in the monitoring of tropical rainforests using satellite imagery is their persistent cloud coverage. The use of daily observations derived from high temporal resolution sensors, such as Moderate Resolution Imaging Spectroradiometer (MODIS), could potentially help to mitigate this issue, increasing the number of clear-sky observations. However, the cloud contamination effect should be removed from these results in order to provide a reliable description of these forests. In this study the available MODIS Land Surface Temperature (LST) products have been reprocessed over the Amazon Basin (10 N–20 S, 80 W–45 W) by introducing different cloud masking schemes. The mont…

Information Systems and Management010504 meteorology & atmospheric sciencesLand surface temperatureAmazon rainforestbusiness.industry0211 other engineering and technologiesCloud computing02 engineering and technologyRainforest01 natural sciencesComputer Science ApplicationsSpatial ecologyHigh temporal resolutionEnvironmental scienceSatellite imageryModerate-resolution imaging spectroradiometerbusiness021101 geological & geomatics engineering0105 earth and related environmental sciencesInformation SystemsRemote sensingData
researchProduct

Multitemporal Cloud Masking in the Google Earth Engine

2018

The exploitation of Earth observation satellite images acquired by optical instruments requires an automatic and accurate cloud detection. Multitemporal approaches to cloud detection are usually more powerful than their single scene counterparts since the presence of clouds varies greatly from one acquisition to another whereas surface can be assumed stationary in a broad sense. However, two practical limitations usually hamper their operational use: the access to the complete satellite image archive and the required computational power. This work presents a cloud detection and removal methodology implemented in the Google Earth Engine (GEE) cloud computing platform in order to meet these r…

Masking (art)010504 meteorology & atmospheric sciencesComputer scienceScienceOptical instrumentReal-time computing0211 other engineering and technologiesCloud detectionCloud computing02 engineering and technologyEarth observation satellite01 natural scienceslaw.inventionmultitemporal analysislawSatellite imageLandsat-8change detection021101 geological & geomatics engineering0105 earth and related environmental sciencesbusiness.industryQGoogle Earth Engine (GEE)cloud maskingPower (physics)General Earth and Planetary Sciencesbusinessimage time seriesChange detectionRemote Sensing
researchProduct

Creating a semantically-enhanced cloud services environment through ontology evolution

2014

Currently, the availability of Web resources has grown enormously to the point that whatever a user needs at a given moment can potentially be found on the Internet. These resources are not limited to data items anymore, functionality delivered through some sort of service architectural model is also offered on the Internet. In the last few years, cloud computing has emerged as one of the most popular computing models to provide services over the Internet. However, as the number of available cloud services increases, the problem of service discovery and selection arises. Experience indicates that semantic technologies can provide the basis for enhanced and more precise search processes. In …

Computer Networks and CommunicationsComputer sciencecomputer.internet_protocolService discoveryCloud computingcomputer.software_genreSocial Semantic WebOWL-SWorld Wide WebSemantic computingSemantic analyticsUpper ontologySemantic Web StackSemantic WebInformation retrievalbusiness.industrySearch engine indexingSemantic searchInformation extractionSemantic gridHardware and ArchitectureOntologySemantic technologyThe InternetWeb resourcebusinesscomputerSoftwareFuture Generation Computer Systems
researchProduct

The Cirrus Coupled Cloud-Radiation Experiment-II

2016

A cirrus study has been undertaken during the second Cirrus Cloud-Radiation Experiment field campaign based in Prestwick, Scotland. We report on a case study describing the radiation and microphysics measurements and cloud modelling work.

MicrophysicsMeteorologybusiness.industryEnvironmental scienceCirrusCloud computingRadiationbusinessField campaignLight, Energy and the Environment
researchProduct