Barbora Buhnova

TL;DR: In this article, the authors performed a systematic literature review and analyzed the results of 188 research papers from the different research communities, and a taxonomy has been created which is used to classify the existing research.

TL;DR: A taxonomy has been created which is used to classify theexisting research and the systematic analysis of the research literature provided in this review aims to help the research community in consolidating the existing research efforts and deriving a research agenda for future developments.

TL;DR: This paper discusses the similarities and differences among Big Data technologies used in different IoT domains, suggests how certain Big Data technology used in one IoT domain can be re-used in another IoT domain, and develops a conceptual framework to outline the critical Big data technologies across all the reviewed IoT domains.

TL;DR: This paper introduces a reliability modeling and prediction technique that considers the relevant architectural factors of software systems by explicitly modeling the system usage profile and execution environment and automatically deriving component usage profiles and offers a UML-like modeling notation whose models are automatically transformed into a formal analytical model.

TL;DR: In this paper, a reliability modeling and prediction technique that considers the relevant architectural factors of software systems by explicitly modeling the system usage profile and execution environment and automatically deriving component usage profiles is presented.