Autors: Zhelev, S. M., Rozeva, A. G.
Title: Big data processing in the cloud - Challenges and platforms
Keywords: Cloud computing, NoSql, Big data, Stream processing

Abstract: Choosing the appropriate architecture and technologies for a big data project is a difficult task, which requires extensive knowledge in both the problem domain and in the big data landscape. The paper analyzes the main big data architectures and the most widely implemented technologies used for processing and persisting big data. Clouds provide for dynamic resource scaling, which makes them a natural fit for big data applications. Basic cloud computing service models are presented. Two architectures for processing big data are discussed, Lambda and Kappa architectures. Technologies for big data persistence are presented and analyzed. Stream processing as the most important and difficult to manage is outlined. The paper highlights main advantages of cloud and potential problems.



    AIP Conference Proceedings, vol. 1910, issue 1, pp. 060013, 2017, United States, AIP Publishing LLC

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    Вид: статия в списание, публикация в издание с импакт фактор, публикация в реферирано издание, индексирана в Scopus и Web of Science