A Unified Ontology for the Virtualization Domain

Silvestro, Jacopo; Canavese, Daniele; Cesena, Emanuele; Smiraglia, Paolo

doi:10.1007/978-3-642-25106-1_14

Cited by 2 publications

(1 citation statement)

References 3 publications

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“…Resource Selection Using Automated Feature-Based Configuration Management in Federated Clouds configuration options at the infrastructure layer. Its functional properties are guided by the taxonomies available in the literature [158,284,320,353,383], and it uses attributes to describe the qualitative characteristics of the resources such as network throughput and CPU capacity (i.e., sustainable performance). With this model, the users can see the kind of resources that are available in IaaS clouds, as well as their constraints and variabilities such as disk type, location, among others.…”

Section: Modeling Iaas Clouds Configuration Options With Feature Modelmentioning

confidence: 99%

A user-centered and autonomic multi-cloud architecture for high performance computing applications

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First, I would like to thank my supervisors for their support and advices. Next, I would like to thank my thesis's reviewers Christophe Cérin and Jean-Louis Pazat, and the members of my thesis committee: Christine Froidevaux, Célia Ghedini Ralha, and Christine Morin. I appreciate all yours comments and questions.Additionally, I would like to thank the professors Vander Alves, Genaína Rodrigues, Li Weigang, and Jacques Blanc for their comments, suggestions, and discussions.Next, I am very thankful to Katia Evrat and Valérie Berthou for kindly helping me in various administrative works. In addition, I am grateful to the authors that sent me their papers when I requested them.After, I would like to thank all my team members in INRIA, especially Michael Kruse and Taj Muhammad Khan. I also thank my friends Cícero Roberto, Antônio Junior, Éric Silva, André Ribeiro, Francinaldo Araujo, Emerson Macedo, and the former Logus's team. Moreover, I would like to thank the people I collaborated with during the last years.I further acknowledge the financial assistance of CAPES/CNPq through the program science without borders (grant 237561/2012-3) during the year of 2013, and Campus France/INRIA (project Pascale) during the period of February to July and November to December 2014.Last but not least, I would like to thank my parents and my family for their unconditional support and patience.

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Section: Modeling Iaas Clouds Configuration Options With Feature Modelmentioning

confidence: 99%

A user-centered and autonomic multi-cloud architecture for high performance computing applications

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Dohko: an autonomic system for provision, configuration, and management of inter-cloud environments based on a software product line engineering method

et al. 2017

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International audienceConfiguring and executing applications across multiple clouds is a challenging task due to the various terminologies used by the cloud providers. Therefore, we advocate the use of autonomic systems to do this work automatically. Thus, in this paper, we propose and evaluate Dohko, an autonomic and goal-oriented system for inter-cloud environments. Dohko implements self-configuration, self-healing, and context-awareness properties. Likewise, it relies on a hierarchical P2P overlay (a) to manage the virtual machines running on the clouds and (b) to deal with inter-cloud communication. Furthermore, it depends on a software product line engineering method to enable applications’ deployment and reconfiguration, without requiring pre-configured virtual machine images. Experimental results show that Dohko can free the users from the duty of executing non-native cloud application on single and over many clouds. In particular, it tackles the lack of middleware prototypes that can support different scenarios when using simultaneous services from multiple clouds

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A Unified Ontology for the Virtualization Domain

Cited by 2 publications

References 3 publications

A user-centered and autonomic multi-cloud architecture for high performance computing applications

A user-centered and autonomic multi-cloud architecture for high performance computing applications

Dohko: an autonomic system for provision, configuration, and management of inter-cloud environments based on a software product line engineering method

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