Search for dissertations about: "music streaming"
Showing result 1 - 5 of 6 swedish dissertations containing the words music streaming.
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1. Liquid Streaming : The Spotify Way To Music
Abstract : This thesis accounts for the liquid affordances of musicking via streamed music from the perspective of the end-user. The study is particularly analysing the case of Spotify, which has gained an extraordinary prominent position within the Swedish market. READ MORE
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2. Listening from within a Digital Music Archive : Metadata, Sensibilities, and Music Histories in the Danish Broadcasting Corporation's Music Archive
Abstract : This thesis examines how digital music archives can facilitate different versions of the history of recorded music. It argues that digital technologies and metadata enable coexisting historical narratives of recorded music that move across time and musical genre, and that can cross geographical and cultural space. READ MORE
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3. Aspects of Secure and Efficient Streaming and Collaboration
Abstract : Research within the area of cryptography constitutes the core of this the- sis. In addition to cryptography, we also present results in peer-assisted streaming and web security. We present results on two specific cryptographic problems: broadcast encryption and secure multi-party computation. READ MORE
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4. Data-driven Performance Prediction and Resource Allocation for Cloud Services
Abstract : Cloud services, which provide online entertainment, enterprise resource management, tax filing, etc., are becoming essential for consumers, businesses, and governments. The key functionalities of such services are provided by backend systems in data centers. This thesis focuses on three fundamental problems related to management of backend systems. READ MORE
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5. Scalable Machine Learning through Approximation and Distributed Computing
Abstract : Machine learning algorithms are now being deployed in practically all areas of our lives. Part of this success can be attributed to the ability to learn complex representations from massive datasets. READ MORE