Sökning: "Nätverkstopologi"
Visar resultat 1 - 5 av 17 uppsatser innehållade ordet Nätverkstopologi.
1. Improvement of anautomatic networkdrawing algorithm in thecontext of utility networks
Master-uppsats, KTH/Skolan för industriell teknik och management (ITM)Sammanfattning : The European Union’s ambitious climate targets necessitate substantial reductions in greenhouse gas emissions, particularly within the heating and cooling sector, which accounts for a significant portion of energy consumption. District Heating and Cooling (DHC) systems emerge as a key solution for decarbonizing this sector by enabling high efficiency heat production and the integration of renewable and carbon-neutral energy sources. LÄS MER
2. The Impact of Demand Patterns and Pathfinding Strategies on Payment Channel Networks
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : Payment Channel Networks (PCNs) provide a solution to the scalability problem in blockchain technology. They facilitate multiple-hop transactions via payment channels between peers, allowing for the execution of several transactions before updating each node’s balance on the blockchain. LÄS MER
3. Trustworthy SDN Control Plane for Prioritized Path Recovery
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : Software Defined Networking (SDN) has gained popularity and attractiveness in the past years’ thanks to its dynamic and programmable nature. The possibility to decouple the data plane and control plane allows for the implementation of Internet networks in an innovative way. LÄS MER
4. Nätverkstopologi till N-Tier applikationer : För ökad säkerhet, flexibilitet, skalbarhet och enkelhet
M1-uppsats, Mittuniversitetet/Institutionen för data- och elektroteknik (2023-)Sammanfattning : Multinivåarkitekturer, eller N-nivåarkitekturer där 'N' refererar till antalet nivåer som börjar med 1, är ett sätt att strukturera nätverk och applikationer, antingen i '”on-premises”-infrastrukturer eller på molnplattformar, liksom inom infrastrukturer som kod (IaC). Dessa arkitekturer innebär att man delar upp nätverket eller applikationen i separata lager och nivåer. LÄS MER
5. Distributed Robust Learning
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : Accuracy obtained when training deep learning models with large amounts of data is high, however, training a model with such huge amounts of data on a single node is not feasible due to various reasons. For example, it might not be possible to fit the entire data set in the memory of a single node, training times can significantly increase since the dataset is huge. LÄS MER