Cloud application monitoring experimentation and research

Project Details

Project Lead
Jonathan Cook 
Project Manager
Jonathan Cook 
Project Members
Abdel-Rahman Al-Ghuwairi  
Supporting Experts
Yuduo Zhou  
Institution
New Mexico State University, Computer Science Department  
Discipline
Computer Science (401) 
Subdiscipline
11.07 Computer Science 

Abstract

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.

Intellectual Merit

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.

Broader Impacts

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.

Scale of Use

A few VMS, not computationally intense.