Search results for "cloud computing"

showing 10 items of 327 documents

Comparison of different revenue models in SaaS

2012

Cloud computing brings new possibilities for software firms to sell their products within a Software-as-a-Service (SaaS) model. However, although SaaS provides new revenue models, it may not easily achieve a profitable revenue stream. For customers, SaaS promises cost savings related to IT expenses. However, it may be difficult to estimate which revenue model will be best for a given situation. In this paper I present the common revenue models used in SaaS, examining their advantages and disadvantages from the point of view of the software provider and the customer. Keywords-Revenue models, SaaS, Cloud computing, Business in cloud

TheoryofComputation_MISCELLANEOUSbusiness.industryComputer scienceInformationSystems_INFORMATIONSYSTEMSAPPLICATIONSSoftware as a serviceCloud computingRevenue streamEnvironmental economicsDiscount pointsBusiness in CloudCost savingsSaaSSoftwareRevenue modelCloud computingbusinessRevenue models2nd Annual International Conference on Computer Games, Multimedia and Allied Technology (CGAT 2012)
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Advantages of Public Cloud Infrastructure in Different Technology Adoption Lifecycle Stages

2012

Independent software vendors (ISV) utilize cloud infrastructure for different reasons. We hypothesize that the motivation to adopt cloud infrastructure-as-a-service (IaaS) changes as the ISV’s product is getting adopted by the market. In this paper we consider how the infrastructure needs of ISVs change along the stages of ISV product’s adoption lifecycle, and analyze the potential benefits of utilizing IaaS in different stages. The analysis is illustrated with the cases of ISV firms with documented use of IaaS. These cases support the hypothesis that different benefits of IaaS are gaining importance along the adoption lifecycle. peerReviewed

infrastructure as a service (IaaS)technology adoption lifecycleData_MISCELLANEOUScloud computing
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Green LAI Mapping and Cloud Gap-Filling Using Gaussian Process Regression in Google Earth Engine

2021

For the last decade, Gaussian process regression (GPR) proved to be a competitive machine learning regression algorithm for Earth observation applications, with attractive unique properties such as band relevance ranking and uncertainty estimates. More recently, GPR also proved to be a proficient time series processor to fill up gaps in optical imagery, typically due to cloud cover. This makes GPR perfectly suited for large-scale spatiotemporal processing of satellite imageries into cloud-free products of biophysical variables. With the advent of the Google Earth Engine (GEE) cloud platform, new opportunities emerged to process local-to-planetary scale satellite data using advanced machine …

Earth observationGoogle Earth Engine (GEE); Gaussian process regression (GPR); machine learning; Sentinel-2; gap filling; leaf area index (LAI)010504 meteorology & atmospheric sciencesComputer scienceScienceleaf area index (LAI)0211 other engineering and technologiesCloud computing02 engineering and technologycomputer.software_genre01 natural sciencesKrigingGaussian process regression (GPR)021101 geological & geomatics engineering0105 earth and related environmental sciencesPixelbusiness.industryQGoogle Earth Engine (GEE)machine learningKernel (image processing)Ground-penetrating radarGeneral Earth and Planetary SciencesData miningSentinel-2Scale (map)businesscomputergap fillingLevel of detailRemote Sensing; Volume 13; Issue 3; Pages: 403
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Cloud detection machine learning algorithms for PROBA-V

2020

This paper presents the development and implementation of a cloud detection algorithm for Proba-V. Accurate and automatic detection of clouds in satellite scenes is a key issue for a wide range of remote sensing applications. With no accurate cloud masking, undetected clouds are one of the most significant sources of error in both sea and land cover biophysical parameter retrieval. The objective of the algorithms presented in this paper is to detect clouds accurately providing a cloud flag per pixel. For this purpose, the method exploits the information of Proba-V using statistical machine learning techniques to identify the clouds present in Proba-V products. The effectiveness of the propo…

FOS: Computer and information sciencesComputer Science - Machine Learning010504 meteorology & atmospheric sciencesComputer scienceRemote sensing applicationFeature extraction0211 other engineering and technologiesFOS: Physical sciencesCloud computing02 engineering and technologyLand coverMachine learningcomputer.software_genre01 natural sciencesMachine Learning (cs.LG)Astrophysics::Galaxy Astrophysics021101 geological & geomatics engineering0105 earth and related environmental sciencesPixelbusiness.industrySupport vector machinePhysics - Atmospheric and Oceanic PhysicsAtmospheric and Oceanic Physics (physics.ao-ph)Artificial intelligencebusinesscomputerAlgorithm2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS)
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An Analysis of the Romanian Internet Banking Market from the Perspective of Cloud Computing Services

2013

Abstract The Internet banking today is not something new anymore; all the banks in the Romanian market (and not only) are offering different forms of Internet banking which is ultimately a service in the cloud. In terms of cloud computing, Internet banking represents SaaS for the users, an application which uses Internet for making payments, viewing information, making deposits and so on. In this paper we briefly analyse the Romanian Internet banking market and compare some of the most popular Internet banking platforms. We will also draw some conclusions about this market in the context of the new Cloud computing delivery models.

Service (business)Mobile bankingbusiness.industrySoftware as a serviceInternet privacyGeneral Engineeringonline bankingEnergy Engineering and Power TechnologyContext (language use)Cloud computingelectronic bankingcloud computing.CommerceSMS bankingRetail bankingmobile bankingThe Internetbusinessinternet bankingProcedia Economics and Finance
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Efficacy of the cloud computing technology in the management of communications and business processes of the companies

2016

W artykule zbadano tendencje rozwoju i stosowania różnych klas systemów informatycznych w zarządzaniu w relacji do rodzajów procesów biznesowych. Zaprezentowano krótki przegląd aktualnego stanu wykorzystania technologii chmury obliczeniowej na świecie i na Ukrainie. Korzyści wynikające z zastosowania modelu "SaaS - Software as a Service" zostały wyjaśnione na przykładzie innowacji międzynarodowego projektu "Bitrix 24", w którym zrealizowane zostały główne cele systemów CRM w połączeniu z szerokimi możliwościami koordynacji procesów komunikacyjnych i biznesowych nowoczesnych firm. Projekt ten został przetłumaczony na większość języków europejskich i wykorzystuje narzędzia społecznego środowi…

systemy CRMCRMsystemscloud computing technologiesspołeczny Intranetcommunicationssocial Intranetzarządzanie procesami biznesowymikomunikacjasystemy ERPERP-systemsbusiness processes managementtechnologie chmury obliczeniowejPolish Journal of Management Studies
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Proprietà e proprietà europea nella Carta di Nizza

2013

IPRs in the third phase of the digital era. Cloud computing and the farewell to the property paradigm

Settore IUS/14 - Diritto Dell'Unione Europeacloud computing nuvola web-storage IPRs proprietà intellettuale privacy intellectual property riservatezza ICT tecnologia tecnologie dell'informazione e della comunicazione informatica giuridica informatica del diritto diritto di proprietà proprietà europea diritto privato europeoSettore IUS/01 - Diritto PrivatoSettore IUS/04 - Diritto Commerciale
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APIS to extract information in social channels in educational context

2018

In this days the world is involved in the research and development of new resources, and methods that allow the use of new technologies fulfilling a goal that is the learning of education through the Web, thus using resources such as different APIs for different purposes. Taking into account the functionalities provided by the APIs, the objective was to obtain information about the different educational resources in the social channels of the Universidad Tecnica Particular de Loja (UTPL). The study of pervious APIs is a part of the project Use of Cloud Computing tools, Bodies of Knowledge and affective computing in the process of developing technological skills focused on problem solving of…

Emerging technologiesComputer sciencebusiness.industry020207 software engineeringCloud computing02 engineering and technologyWorld Wide WebBody of knowledgeEngineering educationEducational resources0202 electrical engineering electronic engineering information engineering020201 artificial intelligence & image processingbusinessAffective computingCoding (social sciences)2018 13th Iberian Conference on Information Systems and Technologies (CISTI)
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Impact of Storage Acquisition Intervals on the Cost-Efficiency of the Private vs. Public Storage

2012

The volume of worldwide digital content has increased nine-fold within the last five years, and this immense growth is predicted to continue in foreseeable future reaching 8ZB already by 2015. Traditionally, in order to cope with the growing demand for storage capacity, organizations proactively built and managed their private storage facilities. Recently, with the proliferation of public cloud infrastructure offerings, many organizations, instead, welcomed the alternative of outsourcing their storage needs to the providers of public cloud storage services. The comparative cost-efficiency of these two alternatives depends on a number of factors, among which are e.g. the prices of the public…

business.industryComputer scienceDigital contentmedia_common.quotation_subjectcost modelCloud computingProvisioningEnvironmental economicsInformation repositoryComputer securitycomputer.software_genreOutsourcingstorage servicesService (economics)Converged storageacquisition intervalbusinessCloud storagecomputerverkkotallennusmedia_common2012 IEEE Fifth International Conference on Cloud Computing
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A Patient-Centric Attribute Based Access Control Scheme for Secure Sharing of Personal Health Records Using Cloud Computing

2016

Personal health records (PHR) are an emerging health information exchange model, which facilitates PHR owners to efficiently share their private health data among a variety of users including healthcare professionals as well as family and friends. PHRs are usually outsourced and stored in third-party cloud platforms which relieves PHR owners from the burden of managing their PHR data while achieving better availability of health data. However, outsourcing private health data raises significant privacy concerns because there is a higher risk of leaking health information to unauthorized parties. To ensure PHR owners' control of their outsourced PHR data, attribute based encryption (ABE) mech…

020203 distributed computingbusiness.industryComputer scienceInternet privacy020206 networking & telecommunicationsAccess controlHealth information exchangeCloud computing02 engineering and technologyEncryptionComputer securitycomputer.software_genreOutsourcingResource (project management)Health care0202 electrical engineering electronic engineering information engineeringAttribute-based encryptionbusinesscomputer2016 IEEE 2nd International Conference on Collaboration and Internet Computing (CIC)
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