Research Projects
[1]
UDA:
User-level data abstractions for next-generation exascale systems.
[2]
FRIEDA:
Scientific data management in heterogeneous cloud environments.
[3]
X-Swap Project:
Analytic model for network performance for science workflows in HPC environments.
Past Projects
[1] Ph.D. thesis: Provenance collection framework for scientific applications and application benchmarks for data reproducibility, data regeneration and result validation.
[2]
Netkarma:
Rule-based provenance capture framework for network experiments on distributed environments.
[3]
Karma:
Standalone tool for provenance collection and representation of provenance data.
[4] FastForward: Distributed speculative computation of compute-intensive programs.
[5]
Magellan:
I/O performance evaluation of HPC applications on different cloud platforms and HPC clusters. Also, developed a timed I/O benchmark and a generic infrastructure for analyzing the HPC workloads.