Performance Analysis and Diagnosis of Cloud-based DDDAS Applications
Abstract
The proposed project will address new systems software to support DDDAS environments supporting battlefield management and autonomous UAV swarms. Specifically the proposal will seek to develop methods to support optimized runtime for DDDAS-based decision-support applications in the context of Cloud Computing. Specific efforts in the project are aimed to develop automated solutions that address this increasingly difficult challenge of performance troubleshooting and tuning of cloud based DDDAS applications by synergistically exploiting techniques from hierarchical performance modeling, on-demand execution tracing, and discriminative sequence mining.
Document Details
- Document Type
- DoD Grant Award
- Publication Date
- Mar 23, 2016
- Source ID
- FA95501510164
Entities
People
- Mohammad Wahiduzzaman Khan
Organizations
- Air Force Office of Scientific Research
- United States Air Force
- University of Connecticut