Sökning: "händelsedriven"

Visar resultat 1 - 5 av 7 uppsatser innehållade ordet händelsedriven.

  1. 1. Comparison between CRUD and CQRS in an event driven system

    M1-uppsats, KTH/Hälsoinformatik och logistik

    Författare :Rasmus Jansson; [2024]
    Nyckelord :CQRS; CRUD; Event Driven Architecture; Event Sourcing; EventStoreDB; Kafka; CQRS; CRUD; Händelsedriven Arkitektur; Händelsekällor; EventStoreDB; Kafka;

    Sammanfattning : 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. 2. Implementering av händelsedrivenarkitektur och händelsekällor för hälsodata

    Kandidat-uppsats, KTH/Hälsoinformatik och logistik

    Författare :Kasper Karlström; Samsom Dewitsegid; [2024]
    Nyckelord :Event driven architecture; event sourcing; event store; broker; blockchain; Händelsedriven arkitektur; händelsekällor; händelsebutik; broker; blockkedjor;

    Sammanfattning : 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. 3. Performance of message brokers in event-driven architecture: Amazon SNS/SQS vs Apache Kafka

    M1-uppsats, KTH/Hälsoinformatik och logistik

    Författare :Johan Edeland; Ivan Zivkovic; [2023]
    Nyckelord :event-based architecture; message broker; latency testing; load testing; data streaming; cloud; backend; Apache Kafka; Amazon Simple Queue Service; Amazon Simple Notification Service; händelsedriven arkitektur; meddelandebuss; latenstestning; lasttestning; data strömning; moln; backend; Apache Kafka; Amazon Simple Queue Service; Amazon Simple Notification Service;

    Sammanfattning : 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. 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)

    Författare :Nathan Allard; [2023]
    Nyckelord :;

    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. 5. Data Transfer and Management through the IKAROS framework : Adopting an asynchronous non-blocking event driven approach to implement the Elastic-Transfer's IMAP client-server connection

    Master-uppsats, KTH/Radio Systems Laboratory (RS Lab)

    Författare :Nikolaos Gkikas; [2015]
    Nyckelord :parallel file systems; distributed file systems; IKAROS file system; elastic-transfer; grid computing; storage systems; I O limitations; exascale; low power consumption; low cost devices; synchronous; blocking; asynchronous; non-blocking; event-driven; JSON.; parallella filsystem; distribuerade filsystem; IKAROS filsystem; elastic-transfer; grid computing; lagringssystem; I O-begränsningar; exa-skala; låg energiförbrukning; lågkostnadsenheter; synkron; blockerande; asynkron; icke-blockerande; händelsedriven; JSON;

    Sammanfattning : Given the current state of input/output (I/O) and storage devices in petascale systems, incremental solutions would be ineffective when implemented in exascale environments. According to the "The International Exascale Software Roadmap", by Dongarra, et al. LÄS MER