Sökning: "serverless"
Visar resultat 26 - 30 av 43 uppsatser innehållade ordet serverless.
26. Building a System for Driving and Rest Times from Activity Changes
Uppsats för yrkesexamina på avancerad nivå, Uppsala universitet/Institutionen för informationsteknologiSammanfattning : This project explores an improved design for a system that tracks drive and rest time data for heavy vehicle drivers. Tracking rest and driving time data for drivers of heavy vehicles is important since it allows for the drivers to ensure that they are following the laws related to how often they must take breaks. LÄS MER
27. Scaling the Simulation Core of Modifiable Virtual Environments with Serverless Computing
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : Modifiable Virtual Environments (MVEs) are widely popular, especially in the video game industry. An example application of MVEs is the game Minecraft, which has a player count reaching into the hundreds of millions. But despite the huge number of users, MVE applications have significant limitations regarding scalability. LÄS MER
28. Efficient serverless resource scheduling for distributed deep learning.
Master-uppsats, Umeå universitet/Institutionen för datavetenskapSammanfattning : Stemming from the growth and increased complexity of computer vision, natural language processing, and speech recognition algorithms; the need for scalability and fault tolerance of machine learning systems has risen. In order to comply with these demands many have turned their focus towards implementing machine learning on distributed systems. LÄS MER
29. Elasticity of Elasticsearch
Master-uppsats, Uppsala universitet/Avdelningen för datorteknikSammanfattning : Elasticsearch has evolved from an experimental, open-source, NoSQL database for full-text documents to an easily scalable search engine that canhandle a large amount of documents. This evolution has enabled companies todeploy Elasticsearch as an internal search engine for information retrieval (logs,documents, etc.). LÄS MER
30. Comparing a gang-like scheduler with the default Kubernetes scheduler in a multi-tenant serverless distributed deep learning training environment
Master-uppsats, Umeå universitet/Institutionen för datavetenskapSammanfattning : Systems for running distributed deep learning training on the cloud have recently been developed. An important component of a distributed deep learning job handler is its resource allocation scheduler. This scheduler allocates computing resources to parts of a distributed training architecture. LÄS MER