Sökning: "Event-driven architecture"
Visar resultat 1 - 5 av 18 uppsatser innehållade orden Event-driven architecture.
1. Comparison between CRUD and CQRS in an event driven system
M1-uppsats, KTH/Hälsoinformatik och logistikSammanfattning : In todays digitalised society, effective solutions to manage huge amount of data is needed. An established design pattern that are used in many systems are CRUD. To handle data in events have become more popular over the years, but CRUD is not optimised for it. A possible replacement is CQRS, it is designed with events in mind. LÄS MER
2. Implementering av händelsedrivenarkitektur och händelsekällor för hälsodata
Kandidat-uppsats, KTH/Hälsoinformatik och logistikSammanfattning : Dagens hälso- och sjukvårdssystem är byggda som en traditionell monolit men det finns fler sätt att utveckla dessa system på. Händelsedriven arkitektur med händel-sekällor för lagring av data är ett modernt sätt att utveckla system. LÄS MER
3. Performance of message brokers in event-driven architecture: Amazon SNS/SQS vs Apache Kafka
M1-uppsats, KTH/Hälsoinformatik och logistikSammanfattning : Microservice architecture, which involves breaking down applications into smaller and loosely coupled components, is becoming increasingly common in the development of modern systems. Connections between these components can be established in various ways. LÄS MER
4. Introducing GA-SSNN: A Method for Optimizing Stochastic Spiking Neural Networks : Scaling the Edge User Allocation Constraint Satisfaction Problem with Enhanced Energy and Time Efficiency
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : As progress within Von Neumann-based computer architecture is being limited by the physical limits of transistor size, neuromorphic comuting has emerged as a promising area of research. Neuromorphic hardware tends to be substantially more power efficient by imitating the aspects of computations in networks of neurons in the brain. LÄS MER
5. Spiking Reinforcement Learning for Robust Robot Control Under Varying Operating Conditions
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : Over the last few years, deep reinforcement learning (RL) has gained increasing popularity for its successful application to a variety of complex control and decision-making tasks. As the demand for deep RL algorithms deployed in challenging real-world environments grows, their robustness towards uncertainty, disturbances and perturbations of the environment becomes more and more important. LÄS MER
