Search for dissertations about: "computer and systems science Databases"
Showing result 1 - 5 of 31 swedish dissertations containing the words computer and systems science Databases.
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1. Explainable and Resource-Efficient Stream Processing Through Provenance and Scheduling
Abstract : In our era of big data, information is captured at unprecedented volumes and velocities, with technologies such as Cyber-Physical Systems making quick decisions based on the processing of streaming, unbounded datasets. In such scenarios, it can be beneficial to process the data in an online manner, using the stream processing paradigm implemented by Stream Processing Engines (SPEs). READ MORE
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2. 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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3. Language-based Approaches to Safe and Efficient Distributed Programming
Abstract : Distributed systems address the increasing demand for fast access to resources and fault tolerance for data. Strong consistency ensures that all clients observe consistent data updates atomically on all servers in a distributed system, and it is widely used in systems such as relational databases. READ MORE
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4. Optimization and Execution of Complex Scientific Queries
Abstract : Large volumes of data produced and shared within scientific communities are analyzed by many researchers to investigate different scientific theories. Currently the analyses are implemented in traditional programming languages such as C++. READ MORE
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5. Optimistic Replication with Forward Conflict Resolution in Distributed Real-Time Databases
Abstract : In this thesis a replication protocol - PRiDe - is presented, which supports optimistic replication in distributed real-time databases with deterministic detection and forward resolution of transaction conflicts. The protocol is designed to emphasize node autonomy, allowing individual applications to proceed without being affected by distributed operation. READ MORE