In this paper we present the behavior of PAFS in a scientific environment where big parallel applications are run. PAFS is a parallel/distributed file system with a cooperative cache that avoids the coherence problem while it continues to be highly scalable and achieves very good performance. The results presented in this paper have been obtained through simulation using the CHARISMA trace files and have been compared with other cooperative algorithms. Keywords Input/Output, Parallel/Distributed File System, Cooperative Cache, Cache Coherence, PAFS, xFS, CHARISMA. 1 Introduction In recent years, a lot of work has been devoted to parallel I/O and parallel/distributed file systems. This work has produced many different file systems along wi...
The trend in parallel computing toward large-scale cluster computers running thousands of cooperatin...
Client-side file caching is one of many I/O strategies adopted by today’s parallel file systems that...
Abstract—Today’s computational science demands have re-sulted in ever larger parallel computers, and...
If we examine the structure of the applications that run on parallel machines, we observe that their...
Phenomenal improvements in the computational performance of multiprocessors have not been matched by...
As we move towards the Exactable era of supercomputing, node-level failures are becoming more common...
zFS is a scalable distributed file system that uses Object Store Devices (OSDs) for storage manageme...
Parallel scientific applications require high-performance I/O support from underlying file systems. ...
[[abstract]]Providing data availability in a high performance computing environment is very importan...
Parallel scientific applications require high-performance I/O support from underlying file systems. ...
Improvements in the processing speed of multiprocessors are outpacing improvements in the speed of d...
Client-side file caching has long been recognized as a file system enhancement to reduce the amount ...
Input/Output (I/O) operations can represent a significant proportion of the run-time of parallel sci...
Parallel input/output in high performance computing is a field of increasing importance. In particul...
Multiprocessors have permitted astounding increases in computational performance, but many cannot me...
The trend in parallel computing toward large-scale cluster computers running thousands of cooperatin...
Client-side file caching is one of many I/O strategies adopted by today’s parallel file systems that...
Abstract—Today’s computational science demands have re-sulted in ever larger parallel computers, and...
If we examine the structure of the applications that run on parallel machines, we observe that their...
Phenomenal improvements in the computational performance of multiprocessors have not been matched by...
As we move towards the Exactable era of supercomputing, node-level failures are becoming more common...
zFS is a scalable distributed file system that uses Object Store Devices (OSDs) for storage manageme...
Parallel scientific applications require high-performance I/O support from underlying file systems. ...
[[abstract]]Providing data availability in a high performance computing environment is very importan...
Parallel scientific applications require high-performance I/O support from underlying file systems. ...
Improvements in the processing speed of multiprocessors are outpacing improvements in the speed of d...
Client-side file caching has long been recognized as a file system enhancement to reduce the amount ...
Input/Output (I/O) operations can represent a significant proportion of the run-time of parallel sci...
Parallel input/output in high performance computing is a field of increasing importance. In particul...
Multiprocessors have permitted astounding increases in computational performance, but many cannot me...
The trend in parallel computing toward large-scale cluster computers running thousands of cooperatin...
Client-side file caching is one of many I/O strategies adopted by today’s parallel file systems that...
Abstract—Today’s computational science demands have re-sulted in ever larger parallel computers, and...