Sökning: "Cloud deployment"

Visar resultat 1 - 5 av 140 uppsatser innehållade orden Cloud deployment.

1. 1. A Comparative Analysis of SecurityServices Using Identity and AccessManagement (IAM)

   Kandidat-uppsats, Blekinge Tekniska Högskola/Institutionen för datavetenskap

   Författare :Nithya Sree Muddychetty; [2024]
   Nyckelord :Access Control Lists; Identity Access Management; Multi-Factor Authentication; One time password; Single sign on; System Usability Scale; Virtual private network;

   Sammanfattning : Background: Identity and Access Management (IAM) is a critical IT securityframework for managing digital identities and resource access. With roots datingback to ancient civilizations, IAM has evolved from basic authentication to sophisticated methods. LÄS MER

3. 2. Implementing End-to-End MLOps for Enhanced Steel Production

   M1-uppsats, Karlstads universitet/Institutionen för matematik och datavetenskap (from 2013)

   Författare :Marcus Westin; Jacob Berggren; [2024]
   Nyckelord :MLOps; Azure ML; Machine Learning; Computer Science; Microsoft Azure; MLOps; Azure ML; Maskininlärning; Datavetenskap; Microsoft Azure;

   Sammanfattning : Steel production companies must utilize new technologies and innovations to stay ahead of a highly competitive market. Recently, there has been a focus on Industry 4.0, which involves the digitalization of production to integrate with newer technologies such as cloud solutions and the Internet of Things (IoT). LÄS MER

4. 3. Evaluation of Application and Platform ContinuousDeployment Strategies and Tools over Edge Clusters

   Master-uppsats, Umeå universitet/Institutionen för datavetenskap

   Författare :André Lundqvist; [2023]
   Nyckelord :;

   Sammanfattning : The purpose of this thesis was the investigation of using Cloud Native tools in an On-prem Edge Deployment. Edge Computing allows software with explicit demands on latency, data management and reliability to utilize Cloud Computing by moving the compute power to the location of need while leaving the management in the Cloud. LÄS MER

5. 4. Performance analysis: CNN model on smartphones versus on cloud : With focus on accuracy and execution time

   Kandidat-uppsats, Linnéuniversitetet/Institutionen för datavetenskap och medieteknik (DM)

   Författare :Stegmayr Klas; Johansson Edwin; [2023]
   Nyckelord :CNN; Deep learning; iOS; Core ML; CIFAR-10;

   Sammanfattning : In the modern digital landscape, mobile devices serve as crucial data generators.Their usage spans from simple communication to various applications such as userbehavior analysis and intelligent applications. However, privacy concerns associatedwith data collection are persistent. LÄS MER

7. 5. Cloud Computing Pricing and Deployment Efforts : Navigating Cloud Computing Pricing and Deployment Efforts: Exploring the Public-Private Landscape

   Kandidat-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Författare :Casper Kristiansson; Fredrik Lundström; [2023]
   Nyckelord :Cloud computing; Private cloud; Public cloud; Cloud computing services; Cost-effectiveness; Implementation effort; Google GCP; Microsoft Azure; Amazon AWS; Pricing models; Cloud adoption; Cloud cost management; Cloud migration; Instance computing; Serverless computing; Data storage; Molntjänster; Privat moln; Offentligt moln; Kostnadsjämförelse; Kostnadseffektivitet; Google GCP; Microsoft Azure; Amazon AWS; Molninförande; Molnkostnadshantering; Molnmigration; Instance computing; Serverless computing; Dataförvaring;

   Sammanfattning : The expanding adoption of cloud computing services by businesses has transformed IT infrastructure and data management in the computing space. Cloud computing offers advantages such as availability, scalability, and cost-effectiveness, making it a favored choice for businesses of all sizes. LÄS MER