High Performance Scientific Computing over Hybrid Cloud Platforms

High Performance Scientific Computing over Hybrid Cloud Platforms

Scientific applications generally require large computational requirements, memory and data management for their execution. Such applications have traditionally used high-performance resources, such as shared memory supercomputers, clusters of PCs with distributed memory, or resources from Grid infr...

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Bibliographic Details
Main Author: Calatrava Arroyo, Amanda
Other Authors: Moltó Martínez, Germán
Format: Doctoral Thesis
Language:English
Published: Universitat Politècnica de València 2016
Subjects:
Checkpointing
Cloud bursting
Cloud computing
Cluster computing
Hybrid cluster
Spot instance
Distributed Computing
Computing
Containers
Cloud
Elasticity
CIENCIAS DE LA COMPUTACION E INTELIGENCIA ARTIFICIAL
Online Access:http://hdl.handle.net/10251/75265

Internet

http://hdl.handle.net/10251/75265

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