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Next Generation HPC Clouds: A View for Large-Scale Scientific and Data-Intensive Applications

Petcu, Dana, González-Vélez, Horacio, Nicolae, Bogdan, García-Gómez, Juan M. , Fuster-Garcia, Elies and Sheridan, Craig (2014) Next Generation HPC Clouds: A View for Large-Scale Scientific and Data-Intensive Applications. In: Euro-Par 2014: Parallel Processing Workshops. Lecture Notes in Computer Science (8806). Springer International Publishing, Switzerland, pp. 26-37. ISBN 9783319143132

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In spite of the rapid growth of Infrastructure-as-a-Service offers, support to run data-intensive and scientific applications large-scale is still limited. On the user side, existing features and programming models are insufficiently developed to express an application in such way that it can benefit from an elastic infrastructure that dynamically adapts to the requirements, which often leads to unnecessary over-provisioning and extra costs. On the provider side, key performance and scalability issues arise when having to deal with large groups of tightly coupled virtualized resources needed by such applications, which is especially challenging considering the multi-tenant dimension where sharing of physical resources introduces interference both inside and across large virtual machine deployments. This paper contributes with a holistic vision that imagines a tight integration between programming models, runtime middlewares and the virtualization infrastructure in order to provide a framework that transparently handles allocation and utilization of heterogeneous resources while dealing with performance and elasticity issues.

Item Type: Book Section
Subjects: Q Science > QA Mathematics > Electronic computers. Computer science
T Technology > T Technology (General) > Information Technology > Electronic computers. Computer science
Divisions: School of Computing > Staff Research and Publications
Depositing User: Caoimhe Ní Mhaicín
Date Deposited: 02 Jan 2015 09:25
Last Modified: 02 Jan 2015 09:25

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