Cloud application monitoring experimentation and research

Project Information

Discipline

Computer Science (401) 

Subdiscipline

11.07 Computer Science 

Orientation

Research 

Research and experimentation in providing efficient application monitoring techniques in IaaS cloud environments. Issues being investigated include kernel and system level monitoring aides, application level monitoring, performance evaluation, remote monitoring and analysis.

IaaS cloud computing introduces new challenges and opportunities in application monitoring. The challenges include the remote and virtualized execution of the platform and application, often controlled by SLAs, which imply limited and potentially unpredictable communication channels. Opportunities include the ability to custom-build an environment from the kernel up that can include special monitoring capability for cloud deployment.

Better monitoring and control over computing in the cloud will enable this new paradigm to reach higher capabilities and offer new and better foundations for the myriad ways that computing supports and betters our society.

Project Contact

Project Lead

Jonathan Cook (joncook) 

Project Manager

Jonathan Cook (joncook) 

Project Members

Abdel-Rahman Al-Ghuwairi  

Resource Requirements

Hardware System

• I don't care (what I really need is a software environment and I don't care where it runs)

 

We hope to augment our local resources with FutureGrid resources and also to use FutureGrid to conduct true remote-cloud performance evaluations (e.g., for remote monitoring).

A few VMS, not computationally intense.

Project Timeline

Submitted

02/09/2011 - 13:41