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Counting events with distributed data types to achieve strong eventual consistency

Luka Šilovinac (2016) Counting events with distributed data types to achieve strong eventual consistency. EngD thesis.

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    Abstract

    Modern web applications face an ever increasing amount of web traffic. The requirement to store data of this traffic at an increasing rate lead to development of a large number of database solutions for different purposes. We explore the problem of counting events and reliably storing counters in environments where high availability and scalability are a requirement. Counters can be used to solve different problems in web applications. We evaluate three different distributed database solutions that can be used to store counters by simulating network traffic and conclude that CRDT data types can be an effective solution to the problem of counting.

    Item Type: Thesis (EngD thesis)
    Keywords: distributed systems, databases, counting events, CRDT, MongoDB, HBase
    Number of Pages: 58
    Language of Content: Slovenian
    Mentor / Comentors:
    Name and SurnameIDFunction
    doc. dr. Dejan Lavbič302Mentor
    Link to COBISS: http://www.cobiss.si/scripts/cobiss?command=search&base=51012&select=(ID=1537088963)
    Institution: University of Ljubljana
    Department: Faculty of Computer and Information Science
    Item ID: 3435
    Date Deposited: 19 Aug 2016 15:29
    Last Modified: 08 Sep 2016 13:24
    URI: http://eprints.fri.uni-lj.si/id/eprint/3435

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