Thesis supervisor: Róbert Lovas
Location of studies (in Hungarian): Óbudai Egyetem Abbreviation of location of studies: ÓE
Description of the research topic:
Information technology faces several challenges in the scope of scientific research, social networks, industry, agriculture, and further widely spreading Big Data application areas due to the extremely high volume, variety and velocity of generated data. In order to collect, store, and perform research analytics or simulation on such data sets, new IT solutions are required from e-Infrastructures.
Recently several approaches have been emerging in the various e-Infrastructure trends; wide range of methods, tools and partial solutions are already available, e.g. leveraging on grid computing for scientific purposes, private and public cloud computing, or volunteer distributed (crowd) computing. Besides the FIWARE and LAMBDA architectures, some open source platforms (e.g. Apache Spark) have been already developed, and the major global IT companies provide services or products to support application areas addressing the above described challenges.
Due to the complexity of this generic topic, the design and creation processes of the necessary e-Infrastructure might be complex IT tasks for a specific given research, analysis, or simulation use case by taking into consideration (as much as possible) the efficiency and other crucial factors.
Number of students who can be accepted: 1
Deadline for application: 2020-09-01
2024. IV. 17. ODT ülés Az ODT következő ülésére 2024. június 14-én, pénteken 10.00 órakor kerül sor a Semmelweis Egyetem Szenátusi termében (Bp. Üllői út 26. I. emelet).
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