@conference {16333,
	title = {Facilitating self-adaptable Inter-Cloud management},
	booktitle = {Proceedings of the 20th international Euromicro conference on parallel, distributed and network-based processing},
	year = {2012},
	pages = {575{\textendash}582},
	publisher = {IEEE Computer Society Press},
	organization = {IEEE Computer Society Press},
	address = {Los Alamitos},
	abstract = {Cloud Computing infrastructures have been developed as individual islands, and mostly proprietary solutions so far. However, as more and more infrastructure providers apply the technology, users face the inevitable question of using multiple infrastructures in parallel. Federated cloud management systems offer a simplified use of these infrastructures by hiding their proprietary solutions. As the infrastructure becomes more complex underneath these systems, the situations (like system failures, handling of load peaks and slopes) that users cannot easily handle, occur more and more frequently. Therefore, federations need to manage these situations autonomously without user interactions. This paper introduces a methodology to autonomously operate cloud federations by controlling their behavior with the help of knowledge management systems. Such systems do not only suggest reactive actions to comply with established Service Level Agreements ({SLA}) between provider and consumer, but they also find a balance between the fulfillment of established {SLAs} and resource consumption. The paper adopts rule-based techniques as its knowledge management solution and provides an extensible rule set for federated clouds built on top of multiple infrastructures.},
	author = {G. Kecskem{\'e}ti and M. Maurer and I. Brandic and Attila Kert{\'e}sz and N{\'e}meth, Zsolt and S. Dustdar},
	editor = {Stotzka, R. and Schiffers, M. and Cotronis, Y.}
}
@conference {16334,
	title = {Integrated Monitoring Approach for Seamless Service Provisioning in Federated Clouds},
	booktitle = {Proceedings of the 20th international Euromicro conference on parallel, distributed and network-based processing},
	year = {2012},
	pages = {567{\textendash}574},
	publisher = {IEEE Computer Society Press},
	organization = {IEEE Computer Society Press},
	address = {Los Alamitos},
	abstract = {Cloud Computing offers simple and cost effective outsourcing in dynamic service environments, and allows the construction of service-based applications using virtualization. By aggregating the capabilities of various {IaaS} cloud providers, federated clouds can be built. Managing such a distributed, heterogeneous environment requires sophisticated interoperation of adaptive coordinating components. In this paper we introduce an integrated federated management and monitoring approach that enables autonomous service provisioning in fed- erated clouds. In this architecture, cloud brokers manage the number and the location of the utilized virtual machines for the received service requests. In order to provide seamless service executions, a state of the art monitoring solution is proposed that supports cloud selection performed by the management layer of the architecture. Our solution is able to cope with highly dynamic service executions by federating heterogeneous cloud infrastructures in a transparent and autonomous manner.},
	author = {Attila Kert{\'e}sz and G. Kecskem{\'e}ti and A. Marosi and M. Oriol and X. Franch and J. Marco},
	editor = {Stotzka, R. and Schiffers, M. and Cotronis, Y.}
}
