Relevant bibliographies by topics / Microsoft Azure (Computing platform)

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers

Academic literature on the topic 'Microsoft Azure (Computing platform)'

Author: Grafiati
Published: 4 June 2021
Last updated: 31 July 2024

Create a spot-on reference in APA, MLA, Chicago, Harvard, and other styles

Select a source type:

Consult the lists of relevant articles, books, theses, conference reports, and other scholarly sources on the topic 'Microsoft Azure (Computing platform).'

Next to every source in the list of references, there is an 'Add to bibliography' button. Press on it, and we will generate automatically the bibliographic reference to the chosen work in the citation style you need: APA, MLA, Harvard, Chicago, Vancouver, etc.

You can also download the full text of the academic publication as pdf and read online its abstract whenever available in the metadata.

Journal articles on the topic "Microsoft Azure (Computing platform)"

1

Ye, Yan Xin, Jian Ming Cui, and Jian Ming Lui. "Achieving Message Board Function Based on Storage Services of the Windows Azure Platform." Applied Mechanics and Materials 380-384 (August 2013): 2411–14. http://dx.doi.org/10.4028/www.scientific.net/amm.380-384.2411.

Full text
Abstract:
in order to study the development of the Windows Azure platform, the paper through the use of cloud computing, one of the platforms Windows Azure, using its Table Storage storage services,to realize a message board function; and realize a good combination of NET Framework and Windows Azure, and explore the Difference of the Microsoft Windows Azure cloud computing platform development and the difference between ordinary ASP.NET development.
APA, Harvard, Vancouver, ISO, and other styles
2

Chauhan, Akash. "A Comparative Study of Cloud Computing Platforms." Turkish Journal of Computer and Mathematics Education (TURCOMAT) 11, no. 1 (April 30, 2020): 821–26. http://dx.doi.org/10.17762/turcomat.v11i1.13563.

Full text
Abstract:
This article offers a comparison and analysis of three of the most widely used cloud computing platforms: Amazon Web Services (AWS), Microsoft Azure, and Google Cloud Platform (GCP). The research focuses on the most important aspects of each platform, such as the virtual machines they offer, the storage choices they provide, the database services they provide, and the serverless computing capabilities they provide. In addition to this, the paper discusses issues like as cost, availability, security, and scalability, as well as some of the positives and negatives associated with using each platform. The literature review that is included in this paper highlights some of the most important findings from recent studies on cloud computing platforms. These findings include the widespread use of Amazon Web Services (AWS), the difficulties that are encountered by organisations in the management of cloud computing resources, and the significance of aspects such as reliability, security, and cost when selecting a cloud computing platform. This article's overarching objective is to offer businesses a comprehensive introduction to AWS, Microsoft Azure, and Google Cloud Platform (GCP), and to assist those businesses in making well-informed choices regarding which cloud platform is best suited to meet their requirements.
APA, Harvard, Vancouver, ISO, and other styles
3

Amrullah, Agit, Agung Nugroho, and Zekriansyah Ramadhan. "PERBANDINGAN KINERJA WEB SERVER PADA PENYEDIA LAYANAN CLOUD MICROSOFT AZURE DAN AMAZON WEB SERVICES." Jurnal Informatika Teknologi dan Sains 5, no. 1 (February 8, 2023): 92–97. http://dx.doi.org/10.51401/jinteks.v5i1.2487.

Full text
Abstract:
Webserver adalah hal yang sangat penting sebagai layanan yang dibutuhkan agar klien dapat mengakses WWW (World Wide Web) menggunakan web browser mereka. Apache dan nginx adalah software web server yang paling banyak dipakai didunia, selain karena integrasinya yang mudah ke berbagai panel web seperti Cpanel, kedua software ini memiliki kestabilan yang mempuni dalam menanangani permintaan klien. Microsoft Azure dan Amazon Web Services sebagai salah satu penyedia layanan Cloud Computing Software As Service (SaaS) dan Platform As Service (PaaS), memiliki performa yang berbeda untuk implementasi pada web server. Penelitian ini bertujuan dalam melakukan analisa kinerja webserver apache dan nginx pada platform Microsoft Azure dan Amazon Web Services (AWS). Dari analisa yang dilakukan bahwasanya webserver Apache lebih unggul dengan margin persentase rata-rata sebesar 7% diplatform Microsoft Azure dan Nginx lebih unggul di platform Microsoft Azure dengan margin persentase sebesar 8,21%.
APA, Harvard, Vancouver, ISO, and other styles
4

Al-Sayyed, Rizik M. H., Wadi’ A. Hijawi, Anwar M. Bashiti, Ibrahim AlJarah, Nadim Obeid, and Omar Y. A. Al-Adwan. "An Investigation of Microsoft Azure and Amazon Web Services from Users’ Perspectives." International Journal of Emerging Technologies in Learning (iJET) 14, no. 10 (May 30, 2019): 217. http://dx.doi.org/10.3991/ijet.v14i10.9902.

Full text
Abstract:
Cloud computing is one of the paradigms that have undertaken to deliver the utility computing concept. It views computing as a utility similar to water and electricity. We aim in this paper to make an investigation of two highly efficacious Cloud platforms: Microsoft Azure (Azure) and Amazon Web Services (AWS) from users’ perspectives the point of view of users. We highlight and compare in depth the features of Azure and AWS from users’ perspectives. The features which we shall focus on include (1) Pricing, (2) Availability, (3) Confidentiality, (4) Secrecy, (5) Tier Account and (6) Service Level Agreement (SLA). The study shows that Azure is more appropriate when considering Pricing and Availability (Error Rate) while AWS is more appropriate when considering Tier account. Our user survey study and its statistical analysis agreed with the arguments made for each of the six comparisons factors.
APA, Harvard, Vancouver, ISO, and other styles
5

Wadly, Fachrid, Arpan, and Muhammad Muttaqin. "IMPLEMENTASI PLATFORM AS A SERVICE (PAAS) PADA DATABASE E-COMMERCE BERBASIS CLOUD COMPUTING." Jurnal Nasional Teknologi Komputer 3, no. 2 (April 30, 2023): 45–58. http://dx.doi.org/10.61306/jnastek.v3i2.88.

Full text
Abstract:
Business competition in the field of information technology continues to increase, one of the technologies itself is cloud computing. Cloud computing can be public or private. One type of cloud computing service used in this study is PaaS. The PaaS cloud computing service provides a platform that users can use to create applications. The Byna Cake shop is a shop that opens a cake business in Aceh, which is located on Pulau Tiga, Aceh, Tamiang. This shop sells various types of cakes which have been produced manually by themselves since 2021. The sales system uses WhatsApp and Instagram media and comes directly to the store, so this system is considered to be less effective and efficient. Therefore, an online sales system is needed, namely by building a web-based E-Commerce application. In implementing this web-based e-commerce application, the author utilizes cloud infrastructure as a cloud provider, namely Microsoft Azure. Computing service used in this research is CMS AbanteCart. Web-based e-commerce application at the Byna Cake store created by configuring a virtual machine to install CMS AbanteCart Packaged By Bitnami on the Microsoft Azure platform. The design used in creating web-based e-commerce applications at the Byna Cake store uses Use Cases and Class Diagrams.
APA, Harvard, Vancouver, ISO, and other styles
6

Qarkaxhija, Jusuf. "Using Cloud Computing as an Infrastructure Case Study- Microsoft Azure." Technium: Romanian Journal of Applied Sciences and Technology 2, no. 3 (May 8, 2020): 93–100. http://dx.doi.org/10.47577/technium.v2i3.473.

Full text
Abstract:
In recent years, the cloud has achieved an immense popularity in the world of tech. This has provided new and improved strategies for cost reduction, and for ensuring better utilisation of cloud resources. Implementation of this model is continuously increasing in numerous businesses , due to the many benefits that the companies are attaining. These cloud resources can belong to either, the infrastructure or platform model. A vast attention has been directed towards the virtualization technology, because the cloud is largely relied upon it. With the help of virtualization, one can quickly download apps or websites, from the cloud. In order to yield the full potential of the cloud, companies should migrate all their current applications to the cloud, and in order to do that- only an internet connection is required. Migration of the existing systems to a scalable cloud solution, can reduce hardware related costs , such as : servers, installation of operating system, database and licence system costs, deployment of database products , and finally employment of professional staff to develop and maintain the system. This research attempts to study and analyze Microsoft Azure, in particular the virtual machine - as part of its infrastructure. The main priority lies in establishing a secure cloud data storage system.
APA, Harvard, Vancouver, ISO, and other styles
7

Truong, Linh, Felipe Ayora, Lloyd D’Orsogna, Patricia Martinez, and Dianne De Santis. "Nanopore sequencing data analysis using Microsoft Azure cloud computing service." PLOS ONE 17, no. 12 (December 2, 2022): e0278609. http://dx.doi.org/10.1371/journal.pone.0278609.

Full text
Abstract:
Genetic information provides insights into the exome, genome, epigenetics and structural organisation of the organism. Given the enormous amount of genetic information, scientists are able to perform mammoth tasks to improve the standard of health care such as determining genetic influences on outcome of allogeneic transplantation. Cloud based computing has increasingly become a key choice for many scientists, engineers and institutions as it offers on-demand network access and users can conveniently rent rather than buy all required computing resources. With the positive advancements of cloud computing and nanopore sequencing data output, we were motivated to develop an automated and scalable analysis pipeline utilizing cloud infrastructure in Microsoft Azure to accelerate HLA genotyping service and improve the efficiency of the workflow at lower cost. In this study, we describe (i) the selection process for suitable virtual machine sizes for computing resources to balance between the best performance versus cost effectiveness; (ii) the building of Docker containers to include all tools in the cloud computational environment; (iii) the comparison of HLA genotype concordance between the in-house manual method and the automated cloud-based pipeline to assess data accuracy. In conclusion, the Microsoft Azure cloud based data analysis pipeline was shown to meet all the key imperatives for performance, cost, usability, simplicity and accuracy. Importantly, the pipeline allows for the on-going maintenance and testing of version changes before implementation. This pipeline is suitable for the data analysis from MinION sequencing platform and could be adopted for other data analysis application processes.
APA, Harvard, Vancouver, ISO, and other styles
8

Rajendran, Prem, Sarthak Maloo, Rohan Mitra, Akchunya Chanchal, and Raafat Aburukba. "Comparison of Cloud-Computing Providers for Deployment of Object-Detection Deep Learning Models." Applied Sciences 13, no. 23 (November 22, 2023): 12577. http://dx.doi.org/10.3390/app132312577.

Full text
Abstract:
As cloud computing rises in popularity across diverse industries, the necessity to compare and select the most appropriate cloud provider for specific use cases becomes imperative. This research conducts an in-depth comparative analysis of two prominent cloud platforms, Microsoft Azure and Amazon Web Services (AWS), with a specific focus on their suitability for deploying object-detection algorithms. The analysis covers both quantitative metrics—encompassing upload and download times, throughput, and inference time—and qualitative assessments like cost effectiveness, machine learning resource availability, deployment ease, and service-level agreement (SLA). Through the deployment of the YOLOv8 object-detection model, this study measures these metrics on both platforms, providing empirical evidence for platform evaluation. Furthermore, this research examines general platform availability and information accessibility to highlight differences in qualitative aspects. This paper concludes that Azure excels in download time (average 0.49 s/MB), inference time (average 0.60 s/MB), and throughput (1145.78 MB/s), and AWS excels in upload time (average 1.84 s/MB), cost effectiveness, ease of deployment, a wider ML service catalog, and superior SLA. However, the decision between either platform is based on the importance of their performance based on business-specific requirements. Hence, this paper ends by presenting a comprehensive comparison based on business-specific requirements, aiding stakeholders in making informed decisions when selecting a cloud platform for their machine learning projects.
APA, Harvard, Vancouver, ISO, and other styles
9

Sajid, Rafat Ul Aman, Sirajul Islam, Abul Bashar Khan Rakib, and Amandeep Kaur. "Interpretation on the Google Cloud Platform and Its Wide Cloud Services." International Journal of Security and Privacy in Pervasive Computing 14, no. 1 (January 1, 2022): 1–7. http://dx.doi.org/10.4018/ijsppc.313586.

Full text
Abstract:
Cloud computing is growing wide and first-rate promising technology. There are three forms of cloud computing: infrastructure as a service (IaaS), software as a service (SaaS), and platform as a service (PaaS). There are many cloud service providers. Among these, AWS (Amazon Web Service), Azure (Microsoft Cloud), IBM Cloud, Oracle Cloud, and VMware are immensely popular. In this paper, the authors study the Google Cloud Platform (GCP) and a few principally used popular services. Google Cloud Platform could be a cloud provider; they supply servers and services that are used on-demand and at scale. Google Cloud Platform is the fastest growing cloud service supplier now.
APA, Harvard, Vancouver, ISO, and other styles
10

Bhaskar, Archana, and Rajeev Ranjan. "Optimized memory model for hadoop map reduce framework." International Journal of Electrical and Computer Engineering (IJECE) 9, no. 5 (October 1, 2019): 4396. http://dx.doi.org/10.11591/ijece.v9i5.pp4396-4407.

Full text
Abstract:
Map Reduce is the preferred computing framework used in large data analysis and processing applications. Hadoop is a widely used Map Reduce framework across different community due to its open source nature. Cloud service provider such as Microsoft azure HDInsight offers resources to its customer and only pays for their use. However, the critical challenges of cloud service provider is to meet user task Service level agreement (SLA) requirement (task deadline). Currently, the onus is on client to compute the amount of resource required to run a job on cloud. This work present a novel memory optimization model for Hadoop Map Reduce framework namely MOHMR (Optimized Hadoop Map Reduce) to process data in real-time and utilize system resource efficiently. The MOHMR present accurate model to compute job memory optimization and also present a model to provision the amount of cloud resource required to meet task deadline. The MOHMR first build a profile for each job and computes memory optimization time of job using greedy approach. Experiment are conducted on Microsoft Azure HDInsight cloud platform considering different application such as text computing and bioinformatics application to evaluate performance of MOHMR of over existing model shows significant performance improvement in terms of computation time. Experiment are conducted on Microsoft Azure HDInsight cloud. Overall, good correlation is reported between practical memory optimization values and theoretical memory optimization values.
APA, Harvard, Vancouver, ISO, and other styles
More sources

Dissertations / Theses on the topic "Microsoft Azure (Computing platform)"

1

Veselý, Tomáš. "Vývoj a provoz PHP aplikací v prostředí Microsoft Azure Platform." Master's thesis, Vysoká škola ekonomická v Praze, 2010. http://www.nusl.cz/ntk/nusl-124738.

Full text
Abstract:
Windows Azure Platform is product of the Microsoft company aimed to host web applications. With this product, Microsoft is reacting on the new trend in IT -- cloud computing. This diploma thesis deals with all the aspects of developing and running PHP applications on Windows Azure Platform. Thesis is divided into two parts -- theoretical and practical. In the theoretical part, Windows Azure Platform is described in detail. The description consists of it's main parts, position in the world of cloud computing, price and main competitors. In the practical part, migration of school PHP application developed during 4IT445 course from LAMP platform to Windows Azure Platform is described. Except the migration itself, the benefits of new platform to application are described. In the thesis conclusion, development and running applications on both platforms is compared. The target of the thesis is to write first complete Czech text about running PHP applications on Windows Azure Platform and to help PHP developers to chose which way to go.
APA, Harvard, Vancouver, ISO, and other styles
2

Hawasli, Ahmad. "azureLang: a probabilistic modeling and simulation language for cyber attacks in Microsoft Azure cloud infrastructure." Thesis, KTH, Skolan för elektroteknik och datavetenskap (EECS), 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-240406.

Full text
Abstract:
Cyber-attack simulation is a suitable method used for assessing the security ofnetwork systems. An attack simulation advances step-wise from a certain systementry-point to explore the attack paths that lead to dierent weaknesses inthe model. Each step is analyzed, and the time to compromise is calculated.Attack simulations are primarily based on attack graphs. The graphs areemployed to model attack steps where nodes can represent assets in the system,and edges can represent the attack steps. To reduce the computational cost associatedwith building an attack graph for each specic system, domain-specicattack languages, or DSL for short, are used.The nal product of this thesis work is azureLang, a probabilistic modelingand simulation language for modeling Microsoft Azure cloud infrastructure.AzureLang is a DSL which denes a generic attack logic for MicrosoftAzure systems. Using azureLang, system administrators can easily instantiatespecic-system scenarios which emulate their Microsoft Azure cloud system infrastructure.After creating the model, attack simulation can be run to assessthe security of the model.
Cyberattacksimulering är en lämplig metod som används för att bedöma säkerhetenhos nätverkssystem. En angrepsimulering går stegvis från ett visst systeminmatningspunkt för att utforska angreppsbanorna som leder till olika svagheter i modellen. Varje steg analyseras och tiden för kompromettera beräknas.Attack-simuleringar baseras huvudsakligen på attackgrafer. Graferna används för att modellera angreppssteg där noder kan representera tillgångar i systemet, och kanterna kan representera attackenstegen. För att minska kostnaden för att skapa attackgrafer för varje specifikt system används domänspecifika språk eller DSL förkortat.Den slutliga produkten av detta examensarbete är azureLang, ett probabilistisk hotmodelleringsoch attacksimuleringsspråk för analys av Microsoft Azure Cloud Infrastructure. AzureLang är en DSL som definierar en generisk attacklogik för Microsoft Azure-system. Med hjälp av azureLang kan systemadministratörer enkelt ordna specifika systemscenarier som efterliknar deras Microsoft Azure cloudsystem infrastruktur. Efter att ha skapat modellen kan attack simu-lering köras för att bedöma modellens säkerhet.
APA, Harvard, Vancouver, ISO, and other styles
3

Siddiqui, Muhammad Anas. "Cloud Computing : Evaluation, as a platform for Scania Architecture." Thesis, Mittuniversitetet, Institutionen för informationsteknologi och medier, 2013. http://urn.kb.se/resolve?urn=urn:nbn:se:miun:diva-18896.

Full text
Abstract:
Cloud computing has been given a great deal of attention during recent years. Almost all the technology market leaders and leading hosting service providers (like IBM, Microsoft and Verizon) have entered into the Cloud market as Cloud Providers. Cloud computing promises to provide highly available, secure, low cost, agile and highly scalable solution to the consumers. Scania is a global company and one of the world’s leading heavy vehicle manufacturers with 35,000+ employees. All the large organizations such as Scania, aim to constantly update themselves with the latest technology in order to meet their business requirements but, these organizations must always be convinced that there is a strong reason(s) to implement new technology. This research provides the method and criteria in relation to initiating Cloud computing. A number of Scania’s specific business requirements that it is possible to map to the Cloud are addressed in this thesis. The methodology of research is split in two parts. Firstly, the identification of business cases at Scania and their requirements with the Cloud and Secondly, the evaluation and comparison of the functionalities and capabilities of different vendors. The accumulated data is then compared and suitable vendors, according to those business requirements are suggested. This thesis also shares the experience of moving on premise applications to the Cloud. These are Scania specific applications which are currently being hosted in-house. The research also addresses the possibilities of portability between the Cloud providers. Although there is no standardization in relation to Cloud computing, some initiatives such as OpenStack are available and its current position and some application and data migration tools are also discussed. The thesis concludes with a general discussion, recommendations in relation to adapting Cloud computing and selecting the Cloud provider. This recommendation applies to every organization including Scania.
APA, Harvard, Vancouver, ISO, and other styles
4

Göthesson, Richard, and Gustav Hedman. "Autentiseringsprocesser i molnbaserade datortjänster." Thesis, Malmö högskola, Fakulteten för teknik och samhälle (TS), 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:mau:diva-20452.

Full text
Abstract:
Tidigare forskning har påvisat brister i olika former av autentiseringsprocesser som leder till autentiseringsattacker. Målet med vår studie är att presentera ett antal riktlinjer som företag och privatpersoner kan följa för att minimera risken för autentiseringsattacker. Metoderna som användes för att komma fram till dessa riktlinjer var kvalitativa där en praktisk observationsstudie, en litteraturstudie samt en enkätundersökning låg till grund för vår insamlade data. Resultatet av studien pekar på att Google Cloud Platform, Amazon Web Services och Microsoft Azure alla har en stark autentiseringsprocess i jämförelse med kritik från tidigare forskning. Enkätundersökningen visade dessutom att olika former av alternativ autentisering, såsom Two Factor Authentication (2FA) och Multi Factor Authentication (MFA), rekommenderas för ett starkt försvar mot autentiseringsattacker.Uppsatsens resultat pekar även på att användarens egenansvar i autentiseringsprocessen är av stor vikt för att minimera risken för autentiseringsattacker. Säkra lösenord bör konstrueras och frekvent bytas ut. Även alternativ autentisering och begränsning av användarens tillgång till känslig information bör tillämpas.
Previous research has shown deficiencies in various forms of authentication processes that lead to authentication attacks. The goal of our study is to present a number of guidelines that businesses and individuals can follow to minimize the risk of authentication attacks. The methods used to reach these guidelines were qualitative. They consisted of a practical observational study, a literature review and a survey, which formed the basis of our collected data. The results of the study indicate that Google Cloud Platform, Amazon Web Services and Microsoft Azure all have a strong authentication process in comparison with the criticism of previous research. The survey also showed that different forms of authentication methods, such as the Two Factor Authentication (2FA) and Multi Factor Authentication (MFA), are recommended for a strong defense against authentication attacks.The thesis’ results also points to the user’s own responsibility in the authentication process are essential to minimize the risk of authentication attacks. Secure passwords should be designed and frequently replaced. Alternative authentication and restricted access to sensitive information for the user should also be applied.
APA, Harvard, Vancouver, ISO, and other styles
5

Barzi, Eddie. "Servizi Serverless di Microsoft Azure." Bachelor's thesis, Alma Mater Studiorum - Università di Bologna, 2021. http://amslaurea.unibo.it/24298/.

Full text
Abstract:
Questo documento vuole presentare alcuni dei servizi cloud offerti da Microsoft Azure, partendo da una panoramica sul cloud computing e sui vantaggi e svantaggi dell'elaborazione serverless. In particolar modo verranno descritti nel dettaglio tre servizi offerti da Microsoft: Azure App Service, Azure Functions e Azure Durable Functions. Ci sarà poi un capitolo dedicato a una comparativa generale sugli equivalenti servizi serverless offerti da Amazon AWS, ovvero AWS Lambda per le Azure Functions e AWS Step Functions per Azure Durable Functions. Infine verrà mostrata la realizzazione di due applicazioni che fanno uso di queste tecnologie, Azure Functions e Azure Durable Functions, procedendo prima con uno sviluppo in locale e poi con il deploy sul cloud.
APA, Harvard, Vancouver, ISO, and other styles
6

Geng, Ningyao. "azureLang: Cyber Threat Modelling in Microsoft Azure cloud computing environment." Thesis, KTH, Skolan för elektroteknik och datavetenskap (EECS), 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-284501.

Full text
Abstract:
When assessing network systems, security has always been one of the priorities.Cyber threat modelling is one of the most suitable methods. From a startingpoint to each valuable asset, the simulation can enable the users to explore certainsecurity weaknesses alongside the attack path. In the end, the time to compromiseshows the security level of the whole system.In principle, most cyber threat models can be built and simulated by attack graphswhere each point in the graph can stand for a certain asset in the network system.However, different systems have different infrastructures and implementations.As a result, it will be more suitable if engineers can develop a domain specificlanguage (DSL) which can be associated with a specific attack graph in order toimprove accuracy and efficiency.In this master thesis work, the final outcome is azureLang, a cyber threat modelinglanguage based on Meta Attack Language (MAL) for Microsoft Azure cloudcomputing environment. Compatible with securiCAD®, a CAD tool developedby Foreseeti AB, a threat model can be built and then be simulated.
Vid bedömning av nätverkssystem har säkerhet alltid varit en av prioriteringarna.Bland tusentals metoder är cyberhotsmodellering en av de mest lämpliga. Frånen startpunkt till varje värdefull tillgång kan simuleringen göra det möjligt föranvändare att utforska vissa säkerhetssvagheter längs attackvägen. I slutändanvisar tiden för kompromiss säkerhetsnivån för hela systemet.I princip kan de flesta cyberhotsmodeller byggas och simuleras med attackgraferdär varje punkt i diagrammet kan stå för en viss tillgång i nätverkssystemet. Menolika system har olika infrastrukturer och implementationer. Som ett resultatkommer det att vara mer lämpligt om ingenjörer kan utveckla ett domänspecifiktspråk (DSL) som kan associeras med en specifik attackgrafik för att förbättranoggrannhet och effektivitet.I det här examensarbetet är slutresultatet azureLang, ett språk för modelleringav hothot baserat på Meta Attack Language (MAL) för Microsoft Azure cloudcomputing-miljö. Kompatibel med securiCAD ®, ett CAD-verktyg utvecklat avForeseeti AB, en hotmodell kan byggas och sedan simuleras.
APA, Harvard, Vancouver, ISO, and other styles
7

Winberg, André, and Ramin Alberto Golrang. "Analytics as a Service : Analysis of services in Microsoft Azure." Thesis, Karlstads universitet, Institutionen för matematik och datavetenskap, 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:kau:diva-47655.

Full text
APA, Harvard, Vancouver, ISO, and other styles
8

Bui, Michael, and Magnus Pedersen. "Implementation of a Log Agent in Microsoft Azure : and packaging it to Azure Marketplace." Thesis, Karlstads universitet, Institutionen för matematik och datavetenskap, 2015. http://urn.kb.se/resolve?urn=urn:nbn:se:kau:diva-36334.

Full text
Abstract:
Cloud computing is still in an early stage of development and Microsoft is now investing considerable amount of resources in the cloud. Microsoft Azure is a cloud platform developed by Microsoft and it is continuously evolving, new features are constantly being added and old features are being updated. Integration Software, which is a company that focuses on products for system integration strongly believes that cloud­-based solutions will have a significant impact on their future. This is why selling and developing solutions and services for the cloud are strategically important for them. The objective of this dissertation is to investigate Microsoft Azure in general and Azure Marketplace in particular. This investigation consisted of an implementation of a Microsoft Azure application and integrating this application with Azure Marketplace and evaluating the expenses for running the application. The purpose for this project is to gain practical experience and to work with new techniques and help Integration Software better understand Azure Marketplace. The application is a Log Agent which fetches data from an external source and resends the data to an external party (Integration Manager). Our first intention was to package and deploy the application to a newly updated Azure Marketplace. The new Azure Marketplace was never released during this dissertation so we decided to deploy the application to the existing version of Azure Marketplace. This was however not fully successful. We encountered some problems in successfully deploying the application to Azure Marketplace. The evaluations for the cost of running an Azure application were not carried out due to lack of time.
APA, Harvard, Vancouver, ISO, and other styles
9

Agarwal, Dinesh. "Scientific High Performance Computing (HPC) Applications On The Azure Cloud Platform." Digital Archive @ GSU, 2013. http://digitalarchive.gsu.edu/cs_diss/75.

Full text
Abstract:
Cloud computing is emerging as a promising platform for compute and data intensive scientific applications. Thanks to the on-demand elastic provisioning capabilities, cloud computing has instigated curiosity among researchers from a wide range of disciplines. However, even though many vendors have rolled out their commercial cloud infrastructures, the service offerings are usually only best-effort based without any performance guarantees. Utilization of these resources will be questionable if it can not meet the performance expectations of deployed applications. Additionally, the lack of the familiar development tools hamper the productivity of eScience developers to write robust scientific high performance computing (HPC) applications. There are no standard frameworks that are currently supported by any large set of vendors offering cloud computing services. Consequently, the application portability among different cloud platforms for scientific applications is hard. Among all clouds, the emerging Azure cloud from Microsoft in particular remains a challenge for HPC program development both due to lack of its support for traditional parallel programming support such as Message Passing Interface (MPI) and map-reduce and due to its evolving application programming interfaces (APIs). We have designed newer frameworks and runtime environments to help HPC application developers by providing them with easy to use tools similar to those known from traditional parallel and distributed computing environment set- ting, such as MPI, for scientific application development on the Azure cloud platform. It is challenging to create an efficient framework for any cloud platform, including the Windows Azure platform, as they are mostly offered to users as a black-box with a set of application programming interfaces (APIs) to access various service components. The primary contributions of this Ph.D. thesis are (i) creating a generic framework for bag-of-tasks HPC applications to serve as the basic building block for application development on the Azure cloud platform, (ii) creating a set of APIs for HPC application development over the Azure cloud platform, which is similar to message passing interface (MPI) from traditional parallel and distributed setting, and (iii) implementing Crayons using the proposed APIs as the first end-to-end parallel scientific application to parallelize the fundamental GIS operations.
APA, Harvard, Vancouver, ISO, and other styles
10

Sehgal, Rakesh. "Service-Oriented Architecture based Cloud Computing Framework For Renewable Energy Forecasting." Thesis, Virginia Tech, 2014. http://hdl.handle.net/10919/25867.

Full text
Abstract:
Forecasting has its application in various domains as the decision-makers are provided with a more predictable and reliable estimate of events that are yet to occur. Typically, a user would invest in licensed software or subscribe to a monthly or yearly plan in order to make such forecasts. The framework presented here differs from conventional software in forecasting, as it allows any interested party to use the proposed services on a pay-per-use basis so that they can avoid investing heavily in the required infrastructure. The Framework-as-a-Service (FaaS) presented here uses Windows Communication Foundation (WCF) to implement Service-Oriented Architecture (SOA). For forecasting, collection of data, its analysis and forecasting responsibilities lies with users, who have to put together other tools or software in order to produce a forecast. FaaS offers each of these responsibilities as a service, namely, External Data Collection Framework (EDCF), Internal Data Retrieval Framework (IDRF) and Forecast Generation Framework (FGF). FaaS Controller, being a composite service based on the above three, is responsible for coordinating activities between them. These services are accessible through Economic Endpoint (EE) or Technical Endpoint (TE) that can be used by a remote client in order to obtain cost or perform a forecast, respectively. The use of Cloud Computing makes these services available over the network to be used as software to forecast energy for solar or wind resources. These services can also be used as a platform to create new services by merging existing functionality with new service features for forecasting. Eventually, this can lead to faster development of newer services where a user can choose which services to use and pay for, presenting the use of FaaS as Platform-as-a-Service (PaaS) in forecasting.
Master of Science
APA, Harvard, Vancouver, ISO, and other styles
More sources

Books on the topic "Microsoft Azure (Computing platform)"

1

Betts, Dominic. Moving applications to the cloud on the Microsoft Windows Azure platform. [Redmond, Wash.]: Microsoft, 2010.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
2

Chou, David. SOA with .net and Windows Azure: Realizing service-orientation with the Microsoft platform. Upper Saddle River, NJ: Prentice Hall, 2010.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
3

Erl, Thomas. SOA with .net and Windows Azure: Realizing service-orientation with the Microsoft platform. Upper Saddle River, NJ: Prentice Hall, 2010.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
4

Seferlis, Christopher, Christopher Nellis, and Timothy Andy Roberts. Practical Guide to Azure Cognitive Services: Leverage the Power of Azure OpenAI to Optimize Operations, Reduce Costs, and Deliver Cutting-Edge AI Solutions. Birmingham, UK: Packt Publishing, Limited, 2023.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
5

Washam, Michael. Automating microsoft azure infrastructure services. Sebastopol, CA: O'Reilly Media, 2015.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
6

Dudley, Richard J. Microsoft Azure: Enterprise application development ; straight talking advice on how to design and build enterprise applications for the cloud. Birmingham, U.K: Packt, 2010.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
7

Vidal, Graupera, Lundrigan Lee, and SpringerLink (Online service), eds. Pro Smartphone Cross-Platform Development: IPhone, BlackBerry, Windows Mobile, and Android Development and Distribution. Berkeley, CA: Apress, 2010.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
8

Jessica, Kuper, ed. A Lexicon of psychology, psychiatry, and psychoanalysis. London: Routledge, 1988.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
9

Microsoft Azure Storage Essentials. Packt Publishing, Limited, 2015.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
10

Moving applications to the cloud on the Microsoft Windows Azure platform. [Redmond, Wash.]: Microsoft, 2010.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
More sources

Book chapters on the topic "Microsoft Azure (Computing platform)"

1

Soh, Julian, Marshall Copeland, Anthony Puca, and Micheleen Harris. "Network Platform as a Service." In Microsoft Azure, 249–69. Berkeley, CA: Apress, 2020. http://dx.doi.org/10.1007/978-1-4842-5958-0_13.

Full text
APA, Harvard, Vancouver, ISO, and other styles
2

Soh, Julian, Marshall Copeland, Anthony Puca, and Micheleen Harris. "Overview of Azure Platform as a Service." In Microsoft Azure, 43–55. Berkeley, CA: Apress, 2020. http://dx.doi.org/10.1007/978-1-4842-5958-0_3.

Full text
APA, Harvard, Vancouver, ISO, and other styles
3

Salvaris, Mathew, Danielle Dean, and Wee Hyong Tok. "Microsoft AI Platform." In Deep Learning with Azure, 79–98. Berkeley, CA: Apress, 2018. http://dx.doi.org/10.1007/978-1-4842-3679-6_4.

Full text
APA, Harvard, Vancouver, ISO, and other styles
4

Bansal, Nirnay. "Microsoft Azure IoT Platform." In Designing Internet of Things Solutions with Microsoft Azure, 33–48. Berkeley, CA: Apress, 2020. http://dx.doi.org/10.1007/978-1-4842-6041-8_3.

Full text
APA, Harvard, Vancouver, ISO, and other styles
5

Copeland, Marshall, Julian Soh, Anthony Puca, Mike Manning, and David Gollob. "Microsoft Azure and Cloud Computing." In Microsoft Azure, 3–26. Berkeley, CA: Apress, 2015. http://dx.doi.org/10.1007/978-1-4842-1043-7_1.

Full text
APA, Harvard, Vancouver, ISO, and other styles
6

Soh, Julian, Marshall Copeland, Anthony Puca, and Micheleen Harris. "Microsoft Azure and Cloud Computing." In Microsoft Azure, 3–20. Berkeley, CA: Apress, 2020. http://dx.doi.org/10.1007/978-1-4842-5958-0_1.

Full text
APA, Harvard, Vancouver, ISO, and other styles
7

Hooyberghs, Johnny. "Azure Quantum." In Introducing Microsoft Quantum Computing for Developers, 307–39. Berkeley, CA: Apress, 2021. http://dx.doi.org/10.1007/978-1-4842-7246-6_11.

Full text
APA, Harvard, Vancouver, ISO, and other styles
8

Bisser, Stephan. "Introduction to Azure Cognitive Services." In Microsoft Conversational AI Platform for Developers, 67–140. Berkeley, CA: Apress, 2021. http://dx.doi.org/10.1007/978-1-4842-6837-7_3.

Full text
APA, Harvard, Vancouver, ISO, and other styles
9

Bisser, Stephan. "Einführung in Azure Cognitive Services." In Microsoft Conversational AI-Platform für Entwickler, 49–102. Berlin, Heidelberg: Springer Berlin Heidelberg, 2022. http://dx.doi.org/10.1007/978-3-662-66472-8_3.

Full text
APA, Harvard, Vancouver, ISO, and other styles
10

Machiraju, Suren, and Suraj Gaurav. "Introducing the Cloud Computing Platform." In Hardening Azure Applications, 1–22. Berkeley, CA: Apress, 2015. http://dx.doi.org/10.1007/978-1-4842-0920-2_1.

Full text
APA, Harvard, Vancouver, ISO, and other styles

Conference papers on the topic "Microsoft Azure (Computing platform)"

1

K, Sreyes, Anushka Xavier K, Dona Davis, and N. Jayapandian. "Internet of Things and Cloud Computing Involvement Microsoft Azure Platform." In 2022 International Conference on Edge Computing and Applications (ICECAA). IEEE, 2022. http://dx.doi.org/10.1109/icecaa55415.2022.9936126.

Full text
APA, Harvard, Vancouver, ISO, and other styles
2

Dordevic, Borislav S., Slobodan P. Jovanovic, and Valentina V. Timcenko. "Cloud Computing in Amazon and Microsoft Azure platforms: Performance and service comparison." In 2014 22nd Telecommunications Forum Telfor (TELFOR). IEEE, 2014. http://dx.doi.org/10.1109/telfor.2014.7034558.

Full text
APA, Harvard, Vancouver, ISO, and other styles
3

Moutaouakal, Widad El, and Karim Baïna. "Comparative Experimentation of MLOps Power on Microsoft Azure, Amazon Web Services, and Google Cloud Platform." In 2023 IEEE 6th International Conference on Cloud Computing and Artificial Intelligence: Technologies and Applications (CloudTech). IEEE, 2023. http://dx.doi.org/10.1109/cloudtech58737.2023.10366138.

Full text
APA, Harvard, Vancouver, ISO, and other styles
4

Kotas, Charlotte, Thomas Naughton, and Neena Imam. "A comparison of Amazon Web Services and Microsoft Azure cloud platforms for high performance computing." In 2018 IEEE International Conference on Consumer Electronics (ICCE). IEEE, 2018. http://dx.doi.org/10.1109/icce.2018.8326349.

Full text
APA, Harvard, Vancouver, ISO, and other styles
5

Luo, Chuan, Bo Qiao, Xin Chen, Pu Zhao, Randolph Yao, Hongyu Zhang, Wei Wu, Andrew Zhou, and Qingwei Lin. "Intelligent Virtual Machine Provisioning in Cloud Computing." In Twenty-Ninth International Joint Conference on Artificial Intelligence and Seventeenth Pacific Rim International Conference on Artificial Intelligence {IJCAI-PRICAI-20}. California: International Joint Conferences on Artificial Intelligence Organization, 2020. http://dx.doi.org/10.24963/ijcai.2020/208.

Full text
Abstract:
Virtual machine (VM) provisioning is a common and critical problem in cloud computing. In industrial cloud platforms, there are a huge number of VMs provisioned per day. Due to the complexity and resource constraints, it needs to be carefully optimized to make cloud platforms effectively utilize the resources. Moreover, in practice, provisioning a VM from scratch requires fairly long time, which would degrade the customer experience. Hence, it is advisable to provision VMs ahead for upcoming demands. In this work, we formulate the practical scenario as the predictive VM provisioning (PreVMP) problem, where upcoming demands are unknown and need to be predicted in advance, and then the VM provisioning plan is optimized based on the predicted demands. Further, we propose Uncertainty-Aware Heuristic Search (UAHS) for solving the PreVMP problem. UAHS first models the prediction uncertainty, and then utilizes the prediction uncertainty in optimization. Moreover, UAHS leverages Bayesian optimization to interact prediction and optimization to improve its practical performance. Extensive experiments show that UAHS performs much better than state-of-the-art competitors on two public datasets and an industrial dataset. UAHS has been successfully applied in Microsoft Azure and brought practical benefits in real-world applications.
APA, Harvard, Vancouver, ISO, and other styles
6

Tao, Yu, and Jan-Peter Muller. "Performance of global 3D model retrievals of the Martian surface using the UCL CASP-GO system on CTX stereo images on linux clusters and Microsoft Azure® cloud computing platforms." In High-Performance Computing in Geoscience and Remote Sensing, edited by Bormin Huang, Sebastián López, and Zhensen Wu. SPIE, 2018. http://dx.doi.org/10.1117/12.2500195.

Full text
APA, Harvard, Vancouver, ISO, and other styles
7

Lang, Willis, Frank Bertsch, David J. DeWitt, and Nigel Ellis. "Microsoft azure SQL database telemetry." In SoCC '15: ACM Symposium on Cloud Computing. New York, NY, USA: ACM, 2015. http://dx.doi.org/10.1145/2806777.2806845.

Full text
APA, Harvard, Vancouver, ISO, and other styles
8

Shehab, Amjad Hameed, and Sufyan T. Faraj Al-Janabi. "Microsoft Azure IoT-based Edge Computing for Smart Homes." In 2020 International Conference on Decision Aid Sciences and Application (DASA). IEEE, 2020. http://dx.doi.org/10.1109/dasa51403.2020.9317274.

Full text
APA, Harvard, Vancouver, ISO, and other styles
9

Suwardi Ansyah, Adi Surya, Miftahol Arifin, Muhammad Bahauddin Alfan, Matthew Vieri Suriawan, Nadhif Haikal Farhansyah, Ary Mazharuddin Shiddiqi, and Hudan Studiawan. "MQTT Broker Performance Comparison between AWS, Microsoft Azure and Google Cloud Platform." In 2023 International Conference on Recent Trends in Electronics and Communication (ICRTEC). IEEE, 2023. http://dx.doi.org/10.1109/icrtec56977.2023.10111870.

Full text
APA, Harvard, Vancouver, ISO, and other styles
10

Mykhailova, Mariia. "Teaching Quantum Computing Using Microsoft Quantum Development Kit and Azure Quantum." In 2023 IEEE International Conference on Quantum Computing and Engineering (QCE). IEEE, 2023. http://dx.doi.org/10.1109/qce57702.2023.20320.

Full text
APA, Harvard, Vancouver, ISO, and other styles
You might also be interested in the extended bibliographies on the topic 'Microsoft Azure (Computing platform)' for particular source types:
Journal articles Dissertations / Theses Books
We offer discounts on all premium plans for authors whose works are included in thematic literature selections. Contact us to get a unique promo code!

To the bibliography