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Contributions à la mise en place d'une infrastructure de Cloud Computing à large échelle

Jonathan Pastor 1, 2
2 ASCOLA - Aspect and composition languages
LINA - Laboratoire d'Informatique de Nantes Atlantique, Département informatique - EMN, Inria Rennes – Bretagne Atlantique
Abstract : The continuous increase of computing power needs has favored the triumph of the Cloud Computing model. Customers asking for computing power will receive supplies via Internet resources hosted by providers of Cloud Computing infrastructures. To make economies of scale, Cloud Computing that are increasingly large and concentrated in few attractive places, leading to problems such energy supply, fault tolerance and the fact that these infrastructures are far from most of their end users. During this thesis we studied the implementation of an fully distributed and decentralized IaaS system operating a network of micros data-centers deployed in the Internet backbone, using a modified version of OpenStack that leverages non relational databases. A prototype has been experimentally validated onGrid’5000, showing interesting results, however limited by the fact that OpenStack doesn’t take advantage of a geographically distributed functioning. Thus, we focused on adding the support of network locality to improve performance of Cloud Computing services by favoring collaborations between close nodes. A prototype of the DVMS algorithm, working with an unstructured topology based on the Vivaldi algorithm, has been validated on Grid’5000. This prototype got the first prize at the large scale challenge of the Grid’5000 spring school in 2014. Finally, the work made with DVMS enabled us to participate at the development of the VMPlaceS simulator.
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Submitted on : Wednesday, December 14, 2016 - 8:35:07 AM
Last modification on : Thursday, March 5, 2020 - 5:48:08 PM
Document(s) archivé(s) le : Wednesday, March 15, 2017 - 12:31:08 PM


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  • HAL Id : tel-01416099, version 1


Jonathan Pastor. Contributions à la mise en place d'une infrastructure de Cloud Computing à large échelle. Autre [cs.OH]. Ecole des Mines de Nantes, 2016. Français. ⟨NNT : 2016EMNA0240⟩. ⟨tel-01416099⟩



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