Abstract-Band - Fakultät für Informatik, TU Wien - Technische ...
Abstract-Band - Fakultät für Informatik, TU Wien - Technische ...
Abstract-Band - Fakultät für Informatik, TU Wien - Technische ...
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sonal document relevance got considered when ranking search results, as it<br />
improves the result quality significantly. This thesis extends related work in the<br />
area of result personalization, by providing the concept and implementation of<br />
a keyword based personal search engine. Compared to other work, the<br />
personal relevance is measured by the user's activity with keywords of one<br />
document, such as clicking or hovering. A ranking algorithm is introduced,<br />
which considers keyword and document frequencies in the vector space<br />
model, combined with the interaction of those keywords to compute the<br />
document score. The concepts are implemented as an HTML5 browser extension<br />
for Google Chrome, which actively measures the user's interaction with<br />
the visited content, without interfering with the normal surfing behavior.<br />
Querying for visited content retrieves stored documents and orders them<br />
according to their personal relevance. An evaluation is conducted to test<br />
whether the behavioral ranking factors are significant enough for personal<br />
relevance. It is shown, that the interaction of the user with the document's<br />
content correlates with its relevance. Furthermore, a benchmark of WebSQL<br />
and IndexedDB as HTML5 data storage structures for insert, update and search<br />
operations reveals that the latter technology outperforms the former in almost<br />
every configuration.<br />
Thomas Hava<br />
Optimizing Server Applications for Renewable Energy powered Data Centers<br />
Studium: Masterstudium Business Informatics<br />
BetreuerIn: Univ.Prof. Dr. Schahram Dustdar<br />
A constantly increasing growth of the amount of Internet users worldwide, as<br />
well as new types of web services like social networks or video services, are<br />
demanding more and more server capacities within data centers. In fact<br />
between the year 2000 and 2005 the power consumption of data centers has<br />
doubled. In the year 2010 data centers were estimated to consume 1,3% of the<br />
world wide electricity production. Since the increase of data center costs the<br />
concept of green IT developed in the field of data centers. Basic ideas of green<br />
IT are to reduce the ecological footprint and to improve the energy<br />
effectiveness. This goals can be reached by using renewable energy sources<br />
like wind power, photovoltaics or hydro power. These power sources share the<br />
issue, that the amount of energy, which they are producing depends on the<br />
current state of their environment. The key issue of this diploma thesis is to<br />
identify common data center server applications and to analyze if their power<br />
profiles can be aligned to the power production profiles of renewable energy<br />
based power sources.<br />
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