Essays about: "Caching data"
Showing result 1 - 5 of 49 essays containing the words Caching data.
-
1. Optimizing Consensus Protocols with Machine Learning Models : A cache-based approach
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Distributed systems offer a reliable and scalable solution for tackling massive and complex tasks that cannot be handled by a single computer. However, standard consensus protocols used in such systems often replicate data without considering the workload, leading to unnecessary retransmissions. READ MORE
-
2. CLIENT-SIDE CACHING: REDUCING SERVER LOAD AND LATENCY IN A NETWORK TRAFFIC ANALYSIS TOOL
University essay from Umeå universitet/Institutionen för datavetenskapAbstract : Caching is a fundamental technique widely used in the field of computing to reduce network traffic, server load, and latency. Storing frequently accessed data in a high-speed cache layer can make future requests process faster by involving fewer system components when generating and serving the response. READ MORE
-
3. Sustainable IoT Data Caching Policy using Deep Reinforcement Learning
University essay from Luleå tekniska universitet/Institutionen för system- och rymdteknikAbstract : Over the years, the Internet of Things has grown significantly and integrated into many fields such as medicine, agriculture, smart homes, etc. This growth has resulted in a significant increase in the amount of data generated. READ MORE
-
4. API Latency and User Experience: What Aspects Impact Latency and What are the Implications for Company Performance?
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Cloud computing has grown during recent years because of the ability for enterprises to scale without having to consider underlying infrastructure. As the complexity of the service increases, there is a significant risk of increasing latency between microservices and application programming interfaces (APIs). READ MORE
-
5. Prediction of user actions with an Association Rules and two Neural Network models in a configuration environment
University essay from Linköpings universitet/Institutionen för datavetenskapAbstract : Extensive configurators might suffer from latency due to their complexity - something which could hurt user experience and, in turn, sales. Machine learning models could potentially learn the patterns of user actions by looking at past configuration sessions. READ MORE