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M. Maurer, I. Brandic, R. Sakellariou:
"Simulating Autonomic SLA Enactment in Clouds using Case Based Reasoning";
in: "Proceedings of the COST Action IC0804 on Energy Efficiency in Large Scale Distributed Systems 2nd Year", J. Pierson, H. Hlavacs (ed.); Institut de Recherche en Informatique de Toulouse (IRIT), Université Paul Sabatier, 2011, (invited), ISBN: 978-2-917490-18-1, 36 - 40.

With the emergence of Cloud Computing resources
of physical machines have to be allocated to virtual machines
(VMs) in an on-demand way. However, the efficient allocation
of resources like memory, storage or bandwidth to a VM is not
a trivial task. On the one hand, the Service Level Agreement
(SLA) that defines QoS goals for arbitrary parameters between
the Cloud provider and the customer should not be violated.
On the other hand, the Cloud providers aim to maximize their
profit, where optimizing resource usage is an important part. In
this paper we develop a simulation engine that mimics the control
cycle of an autonomic manager to evaluate different knowledge
management techniques (KM) feasible for efficient resource
management and SLA attainment. We especially focus on the use
of Case Based Reasoning (CBR) for KM and decision-making.
We discuss its suitability for efficiently governing on-demand
resource allocation in Cloud infrastructures by evaluating it
with the simulation engine. Index Terms-Cloud Computing,
Autonomic Computing, Service Level Agreement, Case Based
Reasoning, Knowledge Management, Resource Management.

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