Search for dissertations about: "cloud computer"
Showing result 1 - 5 of 166 swedish dissertations containing the words cloud computer.
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1. Outsourcing Computations to a Cloud That You Don't Trust
Abstract : In many application scenarios, data need to be collected, stored and processed. Often sensitive data are collected from IoT devices, which are constrained regarding their resources, and, thus, remote, untrusted cloud servers are required to perform the computations. READ MORE
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2. Performance problem diagnosis in cloud infrastructures
Abstract : Cloud datacenters comprise hundreds or thousands of disparate application services, each having stringent performance and availability requirements, sharing a finite set of heterogeneous hardware and software resources. The implication of such complex environment is that the occurrence of performance problems, such as slow application response and unplanned downtimes, has become a norm rather than exception resulting in decreased revenue, damaged reputation, and huge human-effort in diagnosis. READ MORE
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3. 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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4. Secure and Privacy-Preserving Cloud-Assisted Computing
Abstract : Smart devices such as smartphones, wearables, and smart appliances collect significant amounts of data and transmit them over the network forming the Internet of Things (IoT). Many applications in our daily lives (e.g., health, smart grid, traffic monitoring) involve IoT devices that often have low computational capabilities. READ MORE
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5. Clustering in the Big Data Era: methods for efficient approximation, distribution, and parallelization
Abstract : Data clustering is an unsupervised machine learning task whose objective is to group together similar items. As a versatile data mining tool, data clustering has numerous applications, such as object detection and localization using data from 3D laser-based sensors, finding popular routes using geolocation data, and finding similar patterns of electricity consumption using smart meters. READ MORE