Sökning: "Distributed storage"
Visar resultat 11 - 15 av 247 uppsatser innehållade orden Distributed storage.
11. Classification of imbalanced disparate medical data using ontology
Kandidat-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : Through the digitization of healthcare, large volumes of data are generated and stored in healthcare operations. Today, a multitude of platforms and digital infrastructures are used for storage and management of data. The systems lack a common ontology which limits the interoperability between datasets. LÄS MER
12. Cloud-native storage solutions for Kubernetes : A performance comparison
Kandidat-uppsats, Högskolan i Skövde/Institutionen för informationsteknologiSammanfattning : Kubernetes is a container orchestration system that has been rising in popularity in recent years. The modular nature of Kubernetes allows the usage of different storage solutions, and for cloud environments, cloud-native distributed storage solutions maybe attractive due to their redundant nature. LÄS MER
13. Faster Reading with DuckDB and Arrow Flight on Hopsworks : Benchmark and Performance Evaluation of Offline Feature Stores
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : Over the last few years, Machine Learning has become a huge field with “Big Tech” companies sharing their experiences building machine learning infrastructure. Feature Stores, used as centralized data repositories for machine learning features, are seen as a central component to operational and scalable machine learning. LÄS MER
14. Elevers perspektiv på livsmedelsförvaring : -En enkätstudie bland elever i årskurs 8-9
Kandidat-uppsats, Umeå universitet/Institutionen för kost- och måltidsvetenskapSammanfattning : Sammanfattning Bakgrund: Korrekt förvaring av livsmedel är avgörande för att bibehålla matens kvalitet och förhindra att livsmedel blir dåligt. Dåliga livsmedel kan påverka vår hälsa negativt. En korrekt livsmedelsförvaring bidrar till ett minskat matsvinn och en hållbar utveckling. LÄS MER
15. Federated Learning for edge computing : Real-Time Object Detection
Magister-uppsats, Högskolan i Skövde/Institutionen för informationsteknologiSammanfattning : 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. LÄS MER