[[abstract]]This paper presents the issues involved in selecting an appropriate file declustering method to serve various access patterns on distributed parallel computing environments. A good file declustering method for multiple access patterns must (1) maximize the overall local access ratio, (2) minimize the performance variance between the access patterns, and (3) balance disk loads. The variable striping file declustering (VSFD) method is proposed for optimizing the file allocation in the I/O nodes with multiple access patterns and can increase the local access ratio. In addition, VSFD can provide uniform and consistent performance across different access patterns, because it is able to induce the smallest variance in local disk acces...
Part 5: I/O, File Systems, and Data ManagementInternational audienceThis paper presents a novel mech...
[[abstract]]© 2005 Springer Verlag-Providing data availability in a high performance computing envir...
As we move towards the Exactable era of supercomputing, node-level failures are becoming more common...
Parallel systems leverage parallel file systems to efficiently perform I/O to shared files. These pa...
ABSTRACT: This study addresses the scalability issues involving file systems as critical components ...
Several algorithms for parallel disk systems have appeared in the literature recently, and they are ...
In this thesis, we propose a self-tuning approach for automatically selecting and refining the file ...
[[abstract]]This paper presents a parallel file object environment to support distributed array stor...
Declustering is a well known strategy to achieve maximum I/O parallelism in multi-disk systems. Many...
Declustering is a well known strategy to achieve maximum I/O parallelism in multi-disk systems. Many...
Abstract—Today’s computational science demands have re-sulted in ever larger parallel computers, and...
Large data stores are pushing the limits of modern technology. Parallel file systems provide high I/...
PIOUS is a parallel file system architecture that provides cost-effective, scalable bandwidth in a n...
Parallel file systems employ data declustering to increase I/O throughput. But because a single read...
I/O data access is a recognized performance bottleneck of high-end computing. Several commercial and...
Part 5: I/O, File Systems, and Data ManagementInternational audienceThis paper presents a novel mech...
[[abstract]]© 2005 Springer Verlag-Providing data availability in a high performance computing envir...
As we move towards the Exactable era of supercomputing, node-level failures are becoming more common...
Parallel systems leverage parallel file systems to efficiently perform I/O to shared files. These pa...
ABSTRACT: This study addresses the scalability issues involving file systems as critical components ...
Several algorithms for parallel disk systems have appeared in the literature recently, and they are ...
In this thesis, we propose a self-tuning approach for automatically selecting and refining the file ...
[[abstract]]This paper presents a parallel file object environment to support distributed array stor...
Declustering is a well known strategy to achieve maximum I/O parallelism in multi-disk systems. Many...
Declustering is a well known strategy to achieve maximum I/O parallelism in multi-disk systems. Many...
Abstract—Today’s computational science demands have re-sulted in ever larger parallel computers, and...
Large data stores are pushing the limits of modern technology. Parallel file systems provide high I/...
PIOUS is a parallel file system architecture that provides cost-effective, scalable bandwidth in a n...
Parallel file systems employ data declustering to increase I/O throughput. But because a single read...
I/O data access is a recognized performance bottleneck of high-end computing. Several commercial and...
Part 5: I/O, File Systems, and Data ManagementInternational audienceThis paper presents a novel mech...
[[abstract]]© 2005 Springer Verlag-Providing data availability in a high performance computing envir...
As we move towards the Exactable era of supercomputing, node-level failures are becoming more common...