Search for dissertations about: "Datorsystem"
Showing result 6 - 10 of 618 swedish dissertations containing the word Datorsystem.
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6. Performance Characterization of In-Memory Data Analytics on a Scale-up Server
Abstract : The sheer increase in volume of data over the last decade has triggered research in cluster computing frameworks that enable web enterprises to extract big insights from big data. While Apache Spark defines the state of the art in big data analytics platforms for (i) exploiting data-flow and in-memory computing and (ii) for exhibiting superior scale-out performance on the commodity machines, little effort has been devoted at understanding the performance of in-memory data analytics with Spark on modern scale-up servers. READ MORE
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7. Artificial Software Diversification for WebAssembly
Abstract : WebAssembly has become the fourth official web language, along with HTML, CSS and JavaScript since 2019. WebAssembly allows web browsers to execute existing programs or libraries written in other languages, such as C/C++ and Rust. In addition, WebAssembly evolves to be part of edge-cloud computing platforms. READ MORE
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8. Software Diversification for WebAssembly
Abstract : WebAssembly, now the fourth ocially recognized web language, enables web browsers to port native applications to the Web. Furthermore, WebAssembly has evolved into an essential element for backend scenarios such as cloud and edge computing. READ MORE
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9. Scalable and Reliable Data Stream Processing
Abstract : Data-stream management systems have for long been considered as a promising architecture for fast data management. The stream processing paradigm poses an attractive means of declaring persistent application logic coupled with state over evolving data. READ MORE
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10. Constraint-Based Register Allocation and Instruction Scheduling
Abstract : Register allocation (mapping variables to processor registers or memory) and instruction scheduling (reordering instructions to improve latency or throughput) are central compiler problems. This dissertation proposes a combinatorial optimization approach to these problems that delivers optimal solutions according to a model, captures trade-offs between conflicting decisions, accommodates processor-specific features, and handles different optimization criteria. READ MORE