Search for dissertations about: "Vasiliki Kalavri"

Found 3 swedish dissertations containing the words Vasiliki Kalavri.

  2. 1. Performance Optimization Techniques and Tools for Data-Intensive Computation Platforms : An Overview of Performance Limitations in Big Data Systems and Proposed Optimizations

    Author : Vasiliki Kalavri; Vladimir Vlassov; Alberto Montresor; KTH; []
    Keywords : performance optimization; data-intensive computing; big data; Informations- och kommunikationsteknik; Information and Communication Technology;

    Abstract : Big data processing has recently gained a lot of attention both from academia and industry. The term refers to tools, methods, techniques and frameworks built to collect, store, process and analyze massive amounts of data. Big data can be structured, unstructured or semi-structured. READ MORE

  4. 2. Performance Optimization Techniques and Tools for Distributed Graph Processing

    Author : Vasiliki Kalavri; Vladimir Vlassov; Christian Schulte; Seif Haridi; Peter Van Roy; Peter Boncz; KTH; []
    Keywords : TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Graph processing; distributed systems; big data; Informations- och kommunikationsteknik; Information and Communication Technology;

    Abstract : In this thesis, we propose optimization techniques for distributed graph processing. First, we describe a data processing pipeline that leverages an iterative graph algorithm for automatic classification of web trackers. READ MORE

  5. 3. Scalable Streaming Graph and Time Series Analysis Using Partitioning and Machine Learning

    Author : Zainab Abbas; Vladimir Vlassov; Peter Van Roy; Paris Carbone; Vasiliki Kalavri; Vincenzo Massimiliano Gulisano; KTH; []
    Keywords : TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Stream processing; graph processing; time series; big data; machine learning; Informations- och kommunikationsteknik; Information and Communication Technology;

    Abstract : Recent years have witnessed a massive increase in the amount of data generated by the Internet of Things (IoT) and social media. Processing huge amounts of this data poses non-trivial challenges in terms of the hardware and performance requirements of modern-day applications. READ MORE