Mastergradsoppgaver i teknologi - informatikk
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Mastergradsoppgaver i teknologi - informatikk
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Hansen, Roger Bruun Asp (Master thesis; Mastergradsoppgave, 18-Dec-2012)[+][-]
Abstract: Video is dominating consumer internet traffic. Restless internet users expect smooth playback and low latency when watching video content and vendors risk losing customers if this cannot be provided. Distributed storage systems specialized for delivering video content and for handling the high traffic this lead to, have been developed over many years. This thesis look into building and deploying a distributed video storage to deliver video content to an enterprise sport analytics web interface using open source solutions. We look into properties such as horizontal scalability, fault tolerance, security and privacy to outline an architecture that can scale horizontally and deliver video content in an efficient way to a HTML5 web interface. Our conjecture is that developing such a distributed storage solution from scratch is not feasible, and that other, accessible, storage solutions should be evaluated. We ended up with deploying OpenStack Object Storage on our cluster, integrating it with the web front end for uploading, managing and accessing video content. Our experiments test and evaluate the performance and boundaries of our system. We also discuss elasticity problems related to sudden spikes in interest, and solutions in the context of privacy and economic issues. The final deployed video storage system has replaced an old centralized approach that previously has been used. It is currently in production delivering video content to a web interface that is used for soccer analytics by our sport partner Tromsø IL. A case study has been made to observe how they have been using our systems for the last year. URI: http://hdl.handle.net/10037/5163 File(s) in this item: 1
thesis.pdf (1.705Mb) -
Gjerdrum, Anders Tungeland (Master thesis; Mastergradsoppgave, 06-Jul-2012)[+][-]
Abstract: The advent of cloud computing alongside with pervasive form factors such as smart devices, introduces a new meaning to asymmetric system models. These new clients act as a presentational layer alleviating much of the computational and storage concerns to cloud services. The application platforms associated with these creates new opportunities for third party developers to provide domain specific applications (apps) to smart devices. Restricted interaction surfaces on smart device introduce new challenges to how apps are managed on these. Moreover, for security purposes as well as strict resource requirements, apps running in these environments are commonly subject to very strict isolation. We conjure that there are benefits with allowing automatic configuration apps onto a client system. Furthermore, we suggest that integration between apps residing at the same host, as well as different hosts, is beneficial to system functionality. By enabling this we could alleviate much of the interaction necessary for users and reduce the time consumed in using such smart devices. The concrete asymmetric system explored in this thesis is the Windows 8 app platform. This platform poses several hindrances to our conjecture. For security reasons, automatic configuration of apps onto a client system is prohibited. Apps run inside a sandboxed environment where they are isolated from the system and other apps. Access to resources is prohibited unless explicitly allowed by the user. As a consequence, communication between apps is forbidden. This is further complicated by the fact that apps in this environment are suspended when not in use. This thesis introduces Javza, a runtime to support dynamic app configuration and integration in Windows 8. Javza provides support for automatic installment of apps based on simplified contextual information. Furthermore, it provides app integration by allowing apps to share data, both within the same and across different systems. We present and evaluate the associated performance costs of deploying Javza inside a Windows 8 environment. We further evaluate the applicability of Javza by implementing a specific use case involving collaborative search. Lastly we discuss some of the security implications associated with our design, and some future improvements in Windows 8 to support our conjecture. URI: http://hdl.handle.net/10037/4397 File(s) in this item: 1
thesis.pdf (6.409Mb) -
Sundby, David (Master thesis; Mastergradsoppgave, 01-Jun-2011)[+][-]
Abstract: The widespread use of digital cameras and mobile phones, along with a rapidly growth of image sharing, challenges current image retrieval techniques. It is difficult for image retrieval system to find the semantic meaning of images based on human’s subjectivity and the size of current image databases makes it difficult to organize and search images. This thesis shows that information retrieval techniques can be used to reduce the search space of existing image collections, by creating collection summaries that holds only the most representative metadata from existing image collections. The representative metadata are metadata that are most distinguishing for the specific image collection. The system take advantage of the metadata available for images, which includes user provided tags, date/time, GPS coordinates, and metadata augmented by the system using already available metadata. Higher level representations of user provided terms are located and ensures that the system captures the most descriptive properties of the image collections. The system designed is able to produce collection summaries that capture properties of an image collection that support human’s natural perception as long as enough metadata are available. Also, the system increase the contextual understanding of images as long as date/time (of capture) and GPS coordinates is available for all or some of the images in the collection. The evaluation of the system indicates that grouping user provided terms into higher level representations is very useful for capturing the most important properties of an image collection. Also the evaluation expresses the usefulness of augmenting images with additional metadata and converting numeric metadata into readable terms. The comparisons made in the evaluation indicates that not only are the collection summaries similar to individual test users perception of image collections, but the summaries also includes more descriptive information of relevance. URI: http://hdl.handle.net/10037/3657 File(s) in this item: 2
source.zip (94.54Mb)thesis.pdf (3.098Mb) -
Gironi, Lorenzo (Master thesis; Mastergradsoppgave, 01-Jun-2011)[+][-]
Abstract: Hospital's communication infrastructure suffers from different types of common problems. Currently, this infrastructure relies mainly on the use of pagers which are devices particularly interruptive for the daily work of hospital's workers, and moreover they do not support context-awareness communication. Wireless phones are supposed to be a valid alternative to pagers and they can also be used to efficiently increase awareness between workers. Unfortunately, wireless phones can become more interruptive than pagers due to the synchronous communication channel they provide. The aim of this thesis is to propose an implementation of a context-aware solution, based on an Ascom/trixbox communication platform, which tries to overcome this problem. In particular it is specifically designed to balance availability and interruptions gained by using the Ascom wireless phones considering contextual information relating to the users carrying these devices, and it provides several features useful to increase awareness. This work is based on an on-going research project at the Norwegian Centre for Integrated Care and Telemedicine (NST), in collaboration with the University Hospital of Northern Norway (UNN) and Telenor. The focus of this project, named Context sensitive systems for mobile communication in hospitals is to design and develop context-sensitive interfaces, middleware and new interaction forms for mobile devices that support multi-modal communication. URI: http://hdl.handle.net/10037/3525 File(s) in this item: 1
thesis.pdf (1.499Mb) -
Johansen, Terje Andre (Master thesis; Mastergradsoppgave, Jun-2011)[+][-]
Abstract: In biology the introduction next generation technology is increasing the amount of data generated rapidly. New sequencing machines are able to produce terabytes of genomic data in days and in later years the cost of storing data has become higher than to produce it. With enormous amounts of data arrives great opportunities, but also new challenges; how should biologists analyze and interpret the results? Going through terabytes of data manually is time consuming, and is in reality not practical. Because of this bioinformatics are working together with computer scientists to create programs that can parse, integrate, analyze and visualize data in ways that can aid the biologist to extract novel biological knowledge from it. URI: http://hdl.handle.net/10037/3523 File(s) in this item: 1
thesis.pdf (2.724Mb)
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