Search for dissertations about: "computing"

Showing result 21 - 25 of 1264 swedish dissertations containing the word computing.

2. 21. From Conceptual Links to Causal Relations — Physical-Virtual Artefacts in Mixed-Reality Space

   Author : Thomas Pederson; Lars-Erik Janlert; William Buxton; Umeå universitet; []
   Keywords : NATURVETENSKAP; NATURAL SCIENCES; Människa-dator-interaktion; Human-Computer Interaction; Mixed Reality; Augmented Reality; Ubiquitous Computing; Pervasive Computing; Graspable User Interfaces; Tangible User Interfaces; Wearable Computing; Context Awareness; User Modelling; Interaction Design; Systems Design; Människa-dator-interaktion; Information technology; Informationsteknologi; business data processing; administrativ databehandling;

   Abstract : This thesis presents a set of concepts and a general design approach for designing Mixed Reality environments based on the idea that the physical (real) world and the virtual (digital) world are equally important and share many properties. Focus is on the design of a technology infrastructure intended to relieve people from some of the extra efforts currently needed when performing activities that make heavy use of both worlds. READ MORE

4. 22. Control over the Cloud : Offloading, Elastic Computing, and Predictive Control

   Author : Per Skarin; Institutionen för reglerteknik; []
   Keywords : TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Cloud; Control Theory; Model Predictive Control; Offloading; Elastic Computing; Networks; Utility Computing; Cloud Services; Internet-of-Things; Distributed Cloud; 5G Systems;

   Abstract : The thesis studies the use of cloud native software and platforms to implement critical closed loop control. It considers technologies that provide low latency and reliable wireless communication, in terms of edge clouds and massive MIMO, but also approaches industrial IoT and the services of a distributed cloud, as an extension of commercial-of-the-shelf software and systems. READ MORE

5. 23. Managing Applications and Data in Distributed Computing Infrastructures

   Author : Salman Zubair Toor; Sverker Holmgren; Dirk Düllmann; Uppsala universitet; []
   Keywords : NATURVETENSKAP; NATURAL SCIENCES; Distributed Computing Infrastructures; Grids; Clouds; Application Management; Distributed Storage; Resource Allocation; Beräkningsvetenskap; Scientific Computing;

   Abstract : During the last decades the demand for large-scale computational and storage resources in science has increased dramatically. New computational infrastructures enable scientists to enter a new mode of science, e-science, which complements traditional theory and experiments. READ MORE

6. 24. An Emulation-Based Performance Evaluation Methodology for Edge Computing and Latency Sensitive Applications

   Author : Manuel Osvaldo Jesús Olguín Muñoz; James Gross; Karl H. Johansson; Yu Xiao; KTH; []
   Keywords : TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Cloud Computing; Edge Computing; Performance Evaluation; Latency-sensitive Applications; Distributed Systems; Emulation; Extended Reality; Cyber-Physical Systems; Networked Control Systems; Wearable Cognitive Assistance; Electrical Engineering; Elektro- och systemteknik;

   Abstract : Cloud Computing, with its globally-accessible nature and virtually unlimited scalability, has revolutionized our daily lives since its widespread adoption in the early 2000s. It allows us to access our documents anywhere, keep in touch with friends, back up photos, and even remotely control our appliances. READ MORE

7. 25. Leveraging multicore processors for scientific computing

   Author : Martin Tillenius; Elisabeth Larsson; Sverker Holmgren; Uppsala universitet; []
   Keywords : NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; Beräkningsvetenskap; Scientific Computing;

   Abstract : This thesis deals with how to develop scientific computing software that runs efficiently on multicore processors. The goal is to find building blocks and programming models that increase the productivity and reduce the probability of programming errors when developing parallel software. READ MORE