Self-managed Cost-efficient Virtual Elastic Clusters on Hybrid Cloud Infrastructures

In this study, we describe the further development of Elastic Cloud Computing Cluster (EC3), a tool for creating self-managed cost-efficient virtual hybrid elastic clusters on top of Infrastructure as a Service (IaaS) clouds. By using spot instances and checkpointing techniques, EC3 can significantl...

Descripción completa

Detalles Bibliográficos
Autores: Calatrava Arroyo, Amanda|||0000-0002-9018-9171, Moltó, Germán|||0000-0002-8049-253X, Caballer Fernández, Miguel|||0000-0001-9393-3077, Alonso Abalos, José Miguel|||0000-0001-6812-7364, Romero Alcalde, Eloy
Tipo de recurso: artículo
Fecha de publicación:2016
País:España
Institución:Universitat Politècnica de València (UPV)
Repositorio:RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
Idioma:inglés
OAI Identifier:oai:riunet.upv.es:10251/79206
Acceso en línea:https://riunet.upv.es/handle/10251/79206
Access Level:acceso abierto
Palabra clave:Checkpointing
Cloud bursting
Cloud computing
Cluster computing
Hybrid cluster
Spot instance
CIENCIAS DE LA COMPUTACION E INTELIGENCIA ARTIFICIAL
LENGUAJES Y SISTEMAS INFORMATICOS
Descripción
Sumario:In this study, we describe the further development of Elastic Cloud Computing Cluster (EC3), a tool for creating self-managed cost-efficient virtual hybrid elastic clusters on top of Infrastructure as a Service (IaaS) clouds. By using spot instances and checkpointing techniques, EC3 can significantly reduce the total execution cost as well as facilitating automatic fault tolerance. Moreover, EC3 can deploy and manage hybrid clusters across on-premises and public cloud resources, thereby introducing cloud bursting capabilities. We present the results of a case study that we conducted to assess the effectiveness of the tool based on the structural dynamic analysis of buildings. In addition, we evaluated the checkpointing algorithms in a real cloud environment with existing workloads to study their effectiveness. The results demonstrate the feasibility and benefits of this type of cluster for computationally intensive applications. © 2016 Elsevier B.V. All rights reserved.