TY - JOUR
TI - IKAROS: A scalable I/O framework for high-performance computing systems
AU - Filippidis, C.
AU - Tsanakas, P.
AU - Cotronis, Y.
JO - Journal of Systems and Software
PY - 2016
VL - 118
TODO - null
SP - 277-287
PB - W B SAUNDERS CO-ELSEVIER INC
SN - 0164-1212
TODO - 10.1016/j.jss.2016.05.027
TODO - Digital storage;  Energy storage;  File organization;  Grid computing;  Large scale systems;  Network architecture, Distributed systems;  Exascale;  GPFS;  High performance computing;  Parallel file system, Information management
TODO - 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. This study 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. The measurements have shown that by using IKAROS approach we can fully utilize the provided I/O and network resources, minimize disk and network contention, and achieve better performance. © 2016 Elsevier Inc. All rights reserved.
ER -