Essays about: "Stream processing"

Showing result 1 - 5 of 127 essays containing the words Stream processing.

  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

  2. 2. Implementation of FaDO in React.js : Implementation of FaDO in React.js

    University essay from Uppsala universitet/Institutionen för informationsteknologi

    Author : Ammar Aldhahyani; [2021]
    Keywords : ;

    Abstract : This report describes the implementation of FaDO as a REACT.JS web-based tool. FaDO is a machine learning method for real-time fraud detection: it flags (financial)transactions as either fraudulent or normal in a real-time fashion. READ MORE

  3. 3. Comparison of State Backends for Modern Stream Processing System

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

    Author : Mikolaj Robakowski; [2021]
    Keywords : ;

    Abstract : Distributed Stream Processing is a very popular computing paradigm used invarious modern computer systems. An important aspect of distributed streamprocessing systems is how they deal with computation state bigger than thesystem memory. READ MORE

  4. 4. FlinkNDB : Guaranteed Data Streaming Using External State

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

    Author : Muhammad Haseeb Asif; [2021]
    Keywords : Apache Flink; NDB; Flink State Backend; RocksDB State Backend; State management; Large State Applications; Apache Flink; NDB; Flink State Backend; RocksDB State Backend; State management; Large State Applications;

    Abstract : Apache Flink is a stream processing framework that provides a unified state management mechanism which, at its core, treats stream processing as a sequence of distributed transactions. Flink handles failures, re-scaling and reconfiguration seamlessly via a form of a two-phase commit protocol that periodically commits all past side effects consistently into the state backends. READ MORE

  5. 5. Development of production layout : A proposal of Lean model for a manufacturing company by using Value Stream Mapping

    University essay from Karlstads universitet/Fakulteten för hälsa, natur- och teknikvetenskap (from 2013)

    Author : Josefin Fransson; [2020]
    Keywords : ;

    Abstract : A general aim among manufacturing companies is to create a high value for the customer by using few resources and gain profit as a result. Tools and methods from Lean can be used for streamlining the production in order to achieve a resource-effective, flexible, and fast production process. READ MORE