Publicação
Benchmarking the performance of hypervisors on different workloads
| Resumo: | Many organizations rely on a heterogeneous set of applications in virtual environment to deliver critical services to their customers. Different workloads utilize system resources at different levels. Depending on the resource utilization pattern some workloads may be better suited for hosting on a virtual platform. This paper discusses a novel framework for benchmarking the performance of Oracle database workloads such as Online Analytical Processing (OLAP), Online Transaction Processing (OLTP), Web load and Email on two different hypervisors. Further, Design of Experiments (DoE) is used to identify the significance of input parameters, and their overall effect on two hypervisors, which provides a quantitative and qualitative comparative analysis to customers with high degree of accuracy to choose the right hypervisor for their workload in datacenters. |
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| Autores principais: | Bhukya, Devi |
| Outros Autores: | Gonçalves, Carlos; Gomes, Diogo; Aguiar, Rui L. |
| Assunto: | Virtualization DOE Full factorial design Main effect Interaction effect |
| Ano: | 2014 |
| País: | Portugal |
| Tipo de documento: | documento de conferência |
| Tipo de acesso: | acesso aberto |
| Instituição associada: | Universidade de Aveiro |
| Idioma: | inglês |
| Origem: | RIA - Repositório Institucional da Universidade de Aveiro |
| Resumo: | Many organizations rely on a heterogeneous set of applications in virtual environment to deliver critical services to their customers. Different workloads utilize system resources at different levels. Depending on the resource utilization pattern some workloads may be better suited for hosting on a virtual platform. This paper discusses a novel framework for benchmarking the performance of Oracle database workloads such as Online Analytical Processing (OLAP), Online Transaction Processing (OLTP), Web load and Email on two different hypervisors. Further, Design of Experiments (DoE) is used to identify the significance of input parameters, and their overall effect on two hypervisors, which provides a quantitative and qualitative comparative analysis to customers with high degree of accuracy to choose the right hypervisor for their workload in datacenters. |
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