Sökning: "cloud server"
Visar resultat 1 - 5 av 173 uppsatser innehållade orden cloud server.
1. Sustainability demands on internal and external providers of IT
Kandidat-uppsats, Stockholms universitet/Institutionen för data- och systemvetenskapSammanfattning : The use of IT in companies is constantly expanding, and therefore, so is the energy consumption and carbon footprint from IT. If companies do not take steps towards more sustainable IT usage, the footprint will continue to expand, toxic metals will be used in hardware and the usage of world resources will not become more circular. LÄS MER
2. Tenant Separation on a multi-tenant microservice platform
Master-uppsats, Lunds universitet/Institutionen för elektro- och informationsteknikSammanfattning : Axis Communications wishes to investigate their PaaS system, Axis Connected Services(ACX), with regard to separation of the tenants of the platform to ensure the implemented separation technologies are used correctly and to find out whether more separation is necessary. ACX ties together several previously separate services under a single umbrella, with the goal of improving usability and increasing inter-service functionalities and centralisation of the software products Axis has developed for their devices. LÄS MER
3. Comparative Analysis of Load Balancing in Cloud Platforms for an Online Bookstore Web Application using Apache Benchmark
Uppsats för yrkesexamina på grundnivå, Blekinge Tekniska Högskola/Institutionen för datavetenskapSammanfattning : Background :Cloud computing has transformed the landscape of application deploy-ment, offering on-demand access to compute resources, databases, and services viathe internet. This thesis explores the development of an innovative online book-storeweb application, harnessing the power of cloud infrastructure across AWS,Azure, andGCP. LÄS MER
4. Confidential Federated Learning with Homomorphic Encryption
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : Federated Learning (FL), one variant of Machine Learning (ML) technology, has emerged as a prevalent method for multiple parties to collaboratively train ML models in a distributed manner with the help of a central server normally supplied by a Cloud Service Provider (CSP). Nevertheless, many existing vulnerabilities pose a threat to the advantages of FL and cause potential risks to data security and privacy, such as data leakage, misuse of the central server, or the threat of eavesdroppers illicitly seeking sensitive information. LÄS MER
5. Computation Offloading for Real-Time Applications : Server Time Reservation for Periodic Tasks
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : Edge computing is a distributed computing paradigm where computing resources are located physically closer to the data source compared to the traditional cloud computing paradigm. Edge computing enables computation offloading from resource-constrained devices to more powerful servers in the edge and cloud. LÄS MER