Abstract-Band - Fakultät für Informatik, TU Wien - Technische ...

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