Search for dissertations about: "performance benchmark"
Showing result 1 - 5 of 162 swedish dissertations containing the words performance benchmark.
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1. Towards Measuring and Understanding Performance in Infrastructure- and Function-as-a-Service Clouds
Abstract : Context. Cloud computing has become the de facto standard for deploying modern software systems, which makes its performance crucial to the efficient functioning of many applications. READ MORE
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2. Institutional Ownership - the Anonymous Capital : Corporate Governance and Investment Performance
Abstract : This thesis consists of five separate essays and an introductory chapter, The essays can be read independently from each other, but they are all in the field of corporate governance and investment performance. Specifically, the focus is on the role of institutional owners in the conflict between controlling shareholders and minority owners. READ MORE
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3. On the Challenges of Software Performance Optimization with Statistical Methods
Abstract : Most recent programming languages, such as Java, Python and Ruby, include a collection framework as part of their standard library (or runtime). The Java Collection Framework provides a number of collection classes, some of which implement the same abstract data type, making them interchangeable. READ MORE
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4. Modeling and Control of Flexible Manipulators
Abstract : Industrial robot manipulators are general-purpose machines used for industrial automation in order to increase productivity, flexibility, and product quality. Other reasons for using industrial robots are cost saving, and elimination of hazardous and unpleasant work. READ MORE
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5. Performance Characterization and Optimization of In-Memory Data Analytics on a Scale-up Server
Abstract : The sheer increase in the 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 to understanding the performance of in-memory data analytics with Spark on modern scale-up servers. READ MORE