@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 {16338,
	title = {A holistic service provisioning solution for Federated Cloud infrastructures},
	booktitle = {2012 1st International Workshop on European Software Services and Systems Research - Results and Challenges, S-Cube 2012},
	year = {2012},
	pages = {25{\textendash}26},
	publisher = {IEEE},
	organization = {IEEE},
	address = {New York},
	abstract = {Cloud Computing builds on the latest achievements of diverse research areas, such as Grid Computing, Service-oriented computing, business process modeling and virtualization. As this new computing paradigm was mostly lead by companies, several proprietary systems arisen. Recently, alongside these commercial systems, several smaller-scale privately owned systems are maintained and developed. In this paper we present our research results performed within the S-Cube European {FP}7 {NoE} project to enable automated service provisioning for users on a highly dynamic infrastructure consisting of multiple Cloud providers. We developed a Federated Cloud Management architecture that provides unified access to a federated Cloud that aggregates multiple heterogeneous {IaaS} Cloud providers in a transparent manner. We have also incorporated an integrated monitoring approach that enables more reliable provider selection in these heterogeneous environments. {\textcopyright} 2012 IEEE.},
	author = {Attila Kert{\'e}sz and G. Kecskem{\'e}ti and N{\'e}meth, Zsolt and M. Oriol and X. Franch}
}
@inbook {springerlink:10.1007/978-0-387-69858-8_20,
	title = {A Taxonomy of Grid Resource Brokers},
	booktitle = {Distributed and Parallel Systems},
	year = {2007},
	pages = {201-210},
	publisher = {Springer US},
	organization = {Springer US},
	isbn = {978-0-387-69858-8},
	url = {http://dx.doi.org/10.1007/978-0-387-69858-8_20},
	author = {Attila Kert{\'e}sz and P. Kacsuk},
	editor = {Kacsuk, P{\'e}ter and Fahringer, Thomas and N{\'e}meth, Zsolt}
}
