Optimizing Virtual Machine I/O Performance in Virtualized Cloud by Differenciated-frequency Scheduling and Functionality Offloading

Many enterprises are increasingly moving their applications to private cloud environments or public cloud platforms. A key technology driving cloud computing is virtualization which can serve multiple VMs in one physical machine hence providing better management flexibility and significant savings in operational costs. However, one important consequence of virtualized hosts in the cloud is the negative impact it has on the I/O performance of the applications running in the VMs.

Name thesis:degree_name

Doctor of Philosophy (PhD)

Level thesis:degree_level

Dissertation

Discipline thesis:degree_discipline

Computer Science

Year

2015

Author dc:creator

• Xu, Cong

Contributors dc:contributor

• Dongyan Xu
• Ramana Kompella
• Patrick Eugster
• Yung-Hsiang Lu
• Sonia Fahmy

• Cloud Computing
• I/O Optimization
• Operating Systems
• Virtualization

Repository record dc:identifier

https://docs.lib.purdue.edu/open_access_dissertations/1328

OAI identifier oai:identifier

oai:docs.lib.purdue.edu:open_access_dissertations-2544