TY - GEN
T1 - MPISec I/O
T2 - 2009 9th IEEE/ACM International Symposium on Cluster Computing and the Grid, CCGRID 2009
AU - Prabhakar, Ramya
AU - Patrick, Christina
AU - Kandemir, Mahmut
PY - 2009
Y1 - 2009
N2 - Applications performing scientific computations or processing streaming media benefit from parallel I/O significantly, as they operate on large data sets that require large I/O. MPI-I/O is a commonly used library interface in parallel applications to perform I/O efficiently. Optimizations like collective-I/O embedded in MPI-I/O allow multiple processes executing in parallel to perform I/O by merging requests of other processes and sharing them later. In such a scenario, preserving confidentiality of disk-resident data from unauthorized accesses by processes without significantly impacting performance of the application is a challenging task. In this paper, we evaluate the impact of ensuring data-confidentiality in MPI-I/O on the performance of parallel applications and provide an enhanced interface, called MPISec I/O, which brings an average overhead of only 5.77% over MPI-I/O in the best case, and about 7.82% in the average case.
AB - Applications performing scientific computations or processing streaming media benefit from parallel I/O significantly, as they operate on large data sets that require large I/O. MPI-I/O is a commonly used library interface in parallel applications to perform I/O efficiently. Optimizations like collective-I/O embedded in MPI-I/O allow multiple processes executing in parallel to perform I/O by merging requests of other processes and sharing them later. In such a scenario, preserving confidentiality of disk-resident data from unauthorized accesses by processes without significantly impacting performance of the application is a challenging task. In this paper, we evaluate the impact of ensuring data-confidentiality in MPI-I/O on the performance of parallel applications and provide an enhanced interface, called MPISec I/O, which brings an average overhead of only 5.77% over MPI-I/O in the best case, and about 7.82% in the average case.
UR - http://www.scopus.com/inward/record.url?scp=70349756688&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=70349756688&partnerID=8YFLogxK
U2 - 10.1109/CCGRID.2009.53
DO - 10.1109/CCGRID.2009.53
M3 - Conference contribution
AN - SCOPUS:70349756688
SN - 9780769536224
T3 - 2009 9th IEEE/ACM International Symposium on Cluster Computing and the Grid, CCGRID 2009
SP - 388
EP - 395
BT - 2009 9th IEEE/ACM International Symposium on Cluster Computing and the Grid, CCGRID 2009
Y2 - 18 May 2009 through 21 May 2009
ER -