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I. Breskovic, M. Maurer, V. Emeakaroha, I. Brandic, J. Altmann:
"Towards Autonomic Market Management in Cloud Computing Infrastructures";
Talk: 1st International Conference on Cloud Computing and Services Science (CLOSER 2011), Noordwijkerhout, The Netherlands; 05-07-2011 - 05-09-2011; in: "Proceedings of the 1st International Conference on Cloud Computing and Services Science (CLOSER 2011)", SciTePress, (2011), ISBN: 978-989-8425-52-2; 24 - 34.

Cloud computing markets face challenges, such as a large variety of different resource types in the market.
A large variety of resource types results in a low number of matches of ask and bids. Consequently, the
market has a low liquidity, which is economically inefficient and can lead to market failure. To counteract
this problem, SLA templates (i.e., templates for electronic contracts) have been introduced. However, until
now, SLA templates were static, not able to reflect changes in users´ requirements. In this paper, we apply
the adaptive SLA mapping approach for deriving public SLA templates from private SLA templates of users.
To achieve the adaptation of SLA templates, we combine clustering algorithms with adaptation methods. The
result is a set of new public SLA templates, which reflect the market situation more accurately. This way,
we enable marketplaces to automatically adapt to observed changes of market conditions. For the simulationbased
evaluation of our approach, we formalize a utility and cost model, calculate the overall net utility, and
assess the scalability of the approach. Our results show that the use of clustering algorithms can significantly
improve the performance of the adaptive SLA mapping approach.

Service level agreement, SLA management, Electronic markets, Autonomic computing.

Project Head Ivona Brandic:
Foundations of Self-governing ICT Infrastructures