Essays about: "private cloud computing"

Showing result 1 - 5 of 36 essays containing the words private cloud computing.

1. 1. Transitioning from on-premise computing to cloud computing A cost comparison case study on a Swedish grocery retail company

   University essay from Uppsala universitet/Institutionen för informationsteknologi

   Author : Per Bondeson; [2023]
   Keywords : ;

   Abstract : Using public cloud platforms for managing applications and compute is becoming increasingly common among organizations. In this thesis, a case study was performed at a Swedish grocery retailer that was in pursue of migrating all analytics related IT-resources hosted on both on-premise and private cloud to a public cloud platform. READ MORE

3. 2. Cloud Computing Pricing and Deployment Efforts : Navigating Cloud Computing Pricing and Deployment Efforts: Exploring the Public-Private Landscape

   University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Author : Casper Kristiansson; Fredrik Lundström; [2023]
   Keywords : 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;

   Abstract : 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. READ MORE

4. 3. Cloud Computing and the GLAM sector : A case study of the new Digital Archive Project of Åland Maritime Museum.

   University essay from Uppsala universitet/Institutionen för ABM

   Author : Ubaid Ali Faruqi; [2023]
   Keywords : Cloud computing technology; Amazon Web Services AWS ; Data storage; AWS Simple Storage Service S3 ; Low-cost-high-storage; Prototype creation; Preservation and access; Sustainable Digitization; Scalability; Readiness for adapting; GLAM sector; User Experience UX ;

   Abstract : This thesis examines the benefits and drawbacks of cloud computing technology within the GLAM (Galleries, Libraries, Archives, and Museums) sector of Sweden and Finland. It employs the case study of the recently developed and launched Digital Archive Project at Åland Maritime Museum which leveraged the Amazon Web Services (AWS) technology stack to provide a cloud-based digital platform for the museum's archival materials. READ MORE

5. 4. Federated Learning for edge computing : Real-Time Object Detection

   University essay from Högskolan i Skövde/Institutionen för informationsteknologi

   Author : Ardit Memia; [2023]
   Keywords : Federated Learning; Artificial Intelligence; Machine Learning; Edge computing; Object Detection; Decentralized AI;

   Abstract : In domains where data is sensitive or private, there is a great value in methods that can learn in a distributed manner without the data ever leaving the local devices. Federated Learning (FL) has recently emerged as a promising solution to collaborative machine learning challenges while maintaining data privacy. READ MORE

6. 5. Machine Learning with Reconfigurable Privacy on Resource-Limited Edge Computing Devices

   University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Author : Zannatun Nayem Tania; [2021]
   Keywords : Data Privacy; Resource Management; Machine Learning; Fitbit; Internet of Things IoT ; Optimization; Dataintegritet; Resurshantering; Machine Learning; Fitbit; Internet of Things IoT ; Optimering;

   Abstract : Distributed computing allows effective data storage, processing and retrieval but it poses security and privacy issues. Sensors are the cornerstone of the IoT-based pipelines, since they constantly capture data until it can be analyzed at the central cloud resources. However, these sensor nodes are often constrained by limited resources. READ MORE