[Back]

M. Maurer, I. Brandic, V. Emeakaroha, S. Dustdar:
"Towards Knowledge Management in Self-adaptable Clouds";
Talk: IEEE 2010 Fourth International Workshop on Software Engineering for Adaptive Service-Oriented Systems (SEASS 2010) - SERVICES 2010, co-located with ICWS 2010, SCC 2010 and CLOUD 2010, Miami, Florida, USA; 07-05-2010 - 07-10-2010; in: "Proceedings of the 2010 IEEE 6th World Congress on Services (SERVICES 2010)", IEEE Computer Society, CFP10SER-CDR (2010), ISBN: 978-0-7695-4129-7; 527 - 534.

Cloud computing represents a promising computing
paradigm where resources have to be dynamically allocated
to software that needs to be executed. Self-manageable Cloud
infrastructures are required to achieve that level of flexibility on
the one hand, and to comply to users´ requirements specified
by means of Service Level Agreements (SLAs) on the other.
Such infrastructures should automatically respond to changing
component, workload, and environmental conditions minimizing
user interactions with the system and preventing violations of
SLAs. However, identification of system states where reactive
actions are necessary for the prevention of SLA violations is far
from trivial. In this paper we investigate how current knowledge
management systems can be used for the prevention of SLA
violations in Clouds. First, we define a typical SLA use case and
formulate the expected behavior of the knowledge management
system in order to prevent possible SLA violations. Second,
we investigate different methods for knowledge management,
e.g., situation calculus and case based reasoning (CBR). We
discuss how these methods match the expected behavior for SLA
violation prevention. In particular we examine the CBR method
and devise several approaches for knowledge management in
Clouds based on CBR. Finally, we evaluate our approach based
on the presented use case.

Knowledge management; Case Based Reasoning; Autonomic Computing; Cloud Computing

http://dx.doi.org/10.1109/SERVICES.2010.26

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