Sökning: "apache"
Visar resultat 16 - 20 av 241 uppsatser innehållade ordet apache.
16. Semi-Random Leader Election for Distributed Moving Target Defense Coordination in Kubernetes
Master-uppsats, Umeå universitet/Institutionen för datavetenskapSammanfattning : In this Master’s thesis project, we developed a distributed version of an existing coordinator for moving target defense (MTD) in Kubernetes. Our prototype consists of an ensemble of coordinator candidates which run as containers in pods in the Kubernetes cluster themselves. LÄS MER
17. Kartläggning, demonstration och hantering av vanliga sårbarheter i populära webbservrar
Master-uppsats, Linköpings universitet/Institutionen för datavetenskapSammanfattning : En potentiell risk med att världen blir mer digitaliserad är att mängden sårbara system ökar. En konsekvens av det är att fler privatpersoner, organisationer och företag faller offer för den ökande cyberbrottsligheten. LÄS MER
18. Building High-performing Web Rendering of Large Data Sets
Uppsats för yrkesexamina på avancerad nivå, Umeå universitet/Institutionen för fysikSammanfattning : Interactive visualization is an essential tool for data analysis. Cloud-based data analysis software must handle growing data sets without relying on powerful end-user hardware. This thesis explores and tests various methods to speed up primarily time series plots of large data sets on the web for the biotechnology research company Sartorius. LÄS MER
19. Methods for Comparing Database Management Systems
Master-uppsats, Linköpings universitet/Medie- och Informationsteknik; Linköpings universitet/Tekniska fakultetenSammanfattning : Zenon AB is an it-company of which, this thesis was made in collaboration with. Zenon AB has clients that generate large amounts of data, therefore it is important for Zenon AB that they make competent choices of database management systems (DBMS) when designing systems for their clients. LÄS MER
20. Resource-efficient and fast Point-in-Time joins for Apache Spark : Optimization of time travel operations for the creation of machine learning training datasets
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : A scenario in which modern machine learning models are trained is to make use of past data to be able to make predictions about the future. When working with multiple structured and time-labeled datasets, it has become a more common practice to make use of a join operator called the Point-in-Time join, or PIT join, to construct these datasets. LÄS MER