Essays about: "Strömbearbetning"

Found 3 essays containing the word Strömbearbetning.

  1. 1. External Streaming State Abstractions and Benchmarking

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Author : Sruthi Sree Kumar; [2021]
    Keywords : Apache Flink; Distributed Systems; NDB; FlinkNDB; State; State Backends; External State; Stream Processing Systems; Benchmarking; Caching; Apache Flink; Distributed Systems; NDB; FlinkNDB; State; State Backends; External State; Stream Processing Systems; Benchmarking; Caching;

    Abstract : Distributed data stream processing is a popular research area and is one of the promising paradigms for faster and efficient data management. Application state is a first-class citizen in nearly every stream processing system. Nowadays, stream processing is, by definition, stateful. READ MORE

  3. 2. Tail Based Sampling Framework for Distributed Tracing Using Stream Processing

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Author : G Kibria Shuvo; [2021]
    Keywords : Distributed Tracing; Microservices; Observability; Monitoring; Distribuerad spårning; mikrotjänster; observerbarhet; övervakning;

    Abstract : In recent years, microservice architecture has surpassed monolithic architecture in popularity among developers by providing a flexible way of developing complex distributed applications. Whereas a monolithic application functions as a single indivisible unit, a microservices-based application comprises a collection of loosely coupled services that communicate with each other to fulfill the requirements of the application. READ MORE

  4. 3. Improving the performance of stream processing pipeline for vehicle data

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Author : Wenyu Gu; [2020]
    Keywords : Cloud computing; Stream processing; Flink; AWS; Molntjänster; Strömbearbetning; Flink; AWS;

    Abstract : The growing amount of position-dependent data (containing both geo position data (i.e. latitude, longitude) and also vehicle/driver-related information) collected from sensors on vehicles poses a challenge to computer programs to process the aggregate amount of data from many vehicles. READ MORE