R
Raül Sirvent
Researcher at Barcelona Supercomputing Center
Publications - 55
Citations - 1102
Raül Sirvent is an academic researcher from Barcelona Supercomputing Center. The author has contributed to research in topics: Grid & Cloud computing. The author has an hindex of 11, co-authored 51 publications receiving 941 citations. Previous affiliations of Raül Sirvent include Polytechnic University of Catalonia & IBM.
Papers
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Journal ArticleDOI
OPTIMIS: A holistic approach to cloud service provisioning
Ana Juan Ferrer,Francisco Guevara Hernández,Johan Tordsson,Erik Elmroth,Ahmed Ali-Eldin,Csilla Zsigri,Raül Sirvent,Jordi Guitart,Rosa M. Badia,Karim Djemame,Wolfgang Ziegler,Theo Dimitrakos,Srijith K. Nair,George Kousiouris,Kleopatra Konstanteli,Theodora Varvarigou,Benoit Hudzia,Alexander Kipp,Stefan Wesner,Marcelo Corrales,Nikolaus Forgó,Tabassum Sharif,Craig Sheridan +22 more
TL;DR: By addressing the whole service life cycle, taking into account several cloud architectures, and by taking a holistic approach to sustainable service provisioning, the toolkit aims to provide a foundation for a reliable, sustainable, and trustful cloud computing industry.
Journal ArticleDOI
ServiceSs: An Interoperable Programming Framework for the Cloud
Francesc Lordan,Enric Tejedor,Jorge Ejarque,Roger Rafanell,Javier Alvarez,Fabrizio Marozzo,Daniele Lezzi,Raül Sirvent,Domenico Talia,Rosa M. Badia +9 more
TL;DR: This paper presents how ServiceSs transparently interoperates with multiple providers implementing the appropriate interfaces to execute scientific applications on federated clouds.
Journal ArticleDOI
Programming Grid Applications with GRID superscalar
TL;DR: The current GRID superscalar prototype based on Globus Toolkit 2.x is presented, together with examples and performance evaluation of some benchmarks.
Journal ArticleDOI
COMP Superscalar, an interoperable programming framework
Rosa M. Badia,Javier Conejero,Carlos Díaz,Jorge Ejarque,Daniele Lezzi,Francesc Lordan,Cristian Ramon-Cortes,Raül Sirvent +7 more
TL;DR: Abstract COMPSs is a programming framework that aims to facilitate the parallelization of existing applications written in Java, C/C++ and Python scripts and provides scalability and elasticity features allowing the dynamic provision of resources.
Proceedings ArticleDOI
A Multi-agent Approach for Semantic Resource Allocation
TL;DR: This paper presents a distributed resource allocation process which combines the benefits of semantic web for making easier the integration between multiple resource providers in the Cloud and agent technologies for coordinating and adapting the execution accross the different providers.