Christos FILIPPIDIS

Research Statement

High performance computing (HPC) has crossed the Petaflop mark and is reaching the Exaflop range quickly. The exascale system is projected to have millions of nodes, with thousands of cores for each node. At such an extreme scale, the substantial amount of concurrency can cause a critical contention issue for I/O system. My research proposes a dynamically coordinated I/O architecture for addressing some of the limitations that current parallel file systems and storage architectures are facing with very large-scale systems. The fundamental idea is to coordinate I/O accesses according to the topology/profile of the infrastructure, the load metrics, and the I/O demands of each application. IKAROS approach can fully utilize the provided I/O and network resources, minimize disk and network contention, and achieve better performance.

Research Interests: Data Transfer & Management, Grid/Cloud Computing, HPC/HTC, Computer Networks, Data Analytics, Data Mining, Cyber Security.