Sökning: "Query optimization"

Visar resultat 1 - 5 av 17 avhandlingar innehållade orden Query optimization.

  1. 1. Optimization and Execution of Complex Scientific Queries

    Författare :Ruslan Fomkin; Tore Risch; Marianne Winslett; Uppsala universitet; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; scientific databases; query processing; data streams; cost-based query optimization; query rewritings; databases and Grids; Computer science; Datavetenskap; Data- och systemvetenskap; Computer Systems Sciences;

    Sammanfattning : Large volumes of data produced and shared within scientific communities are analyzed by many researchers to investigate different scientific theories. Currently the analyses are implemented in traditional programming languages such as C++. LÄS MER

  3. 2. Scalable Scientific Stream Query Processing

    Författare :Milena Ivanova; Tore Risch; Elke A. Rundensteiner; Uppsala universitet; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; data stream management systems; parallel stream processing; scientific stream query processing; user-defined stream partitioning; Computer science; Datalogi; Data- och systemvetenskap; Computer Systems Sciences;

    Sammanfattning : Scientific applications require processing of high-volume on-line streams of numerical data from instruments and simulations. In order to extract information and detect interesting patterns in these streams scientists need to perform on-line analyses including advanced and often expensive numerical computations. LÄS MER

  4. 3. Main-Memory Query Processing Utilizing External Indexes

    Författare :Thanh Truong; Tore Risch; Martin Kersten; Uppsala universitet; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; Database indexing; query processing; index structures; main-memory; index validation; Datavetenskap med inriktning mot databasteknik; Computer Science with specialization in Database Technology;

    Sammanfattning : Many applications require storage and indexing of new kinds of data in main-memory, e.g. color histograms, textures, shape features, gene sequences, sensor readings, or financial time series. LÄS MER

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

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

    Sammanfattning : 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. LÄS MER

  7. 5. Querying Data Providing Web Services

    Författare :Manivasakan Sabesan; Tore Risch; Roberto V. Zicari; Uppsala universitet; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; views of web service operations; web service queries; adaptive parallelization; query optimization; Computer science; Datalogi; Datavetenskap med inriktning mot databasteknik; Computer Science with specialization in Database Technology;

    Sammanfattning : Web services are often used for search computing where data is retrieved from servers providing information of different kinds. Such data providing web services return a set of objects for a given set of parameters without any side effects. LÄS MER