[26 May 2014] A bachelor student at RTSLAB was awarded the best thesis
award from IDA - Simon Andersson. more ...
[31 May 2012] A masters student at RTSLAB was awarded the best thesis
award from IDA - Ulf Magnusson. more ...
[27 February 2008] A masters student at RTSLAB was awarded the best thesis
award from IDA - Johan Sigholm. more ...
[03 March 2004] A masters student at RTSLAB was awarded the best thesis
award from IDA - Tobias Chyssler. more ...
[01 Jul 2003] For second year in a row a masters student at RTSLAB was awarded the best thesis
award from SNART - Mehdi Amirijoo. more ...
Master Thesis - Past Projects - Abstract
Generalized Performance Management of Multi Class Real-Time
Imprecise Data Services
With the increasing demand of real-time services, the applications become
more complex in their data needs. Real-time databases usually provide the
management of data for real-time data services. However the workload applied
to dynamic systems is not always known and the database might face
overloads. Then deadlines can be missed and the freshness of the data might
be violated. Among the proposed approches to resolve this problems, Robust
Quality Management of Differentiated Imprecise Data Services proposed a QoS
model that allows the differentiation of services according to the
importance of the transactions. Further, the database operator can set the
desired nominal and worst-case QoS requirements of the transactions.
However, only one QoS requirement can be specified per importance level. In
this thesis a QoS model that allows the setting of several QoS requirements
for transactions of equal importance is proposed. The performance of the
proposed algorithms is evaluated in different experiments. The simulation
studies show that the proposed solution satisfy the requirements even during
overloads and inaccurate run-time estimation errors.
Author(s): Nicolas Chaufette
Contact: Mehdi Amirijoo
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