An analytic performance model of disk arrays
SIGMETRICS '93 Proceedings of the 1993 ACM SIGMETRICS conference on Measurement and modeling of computer systems
An analytic behavior model for disk drives with readahead caches and request reordering
SIGMETRICS '98/PERFORMANCE '98 Proceedings of the 1998 ACM SIGMETRICS joint international conference on Measurement and modeling of computer systems
SOSP '01 Proceedings of the eighteenth ACM symposium on Operating systems principles
GPFS: A Shared-Disk File System for Large Computing Clusters
FAST '02 Proceedings of the Conference on File and Storage Technologies
A Modular, Analytical Throughput Model for Modern Disk Arrays
MASCOTS '01 Proceedings of the Ninth International Symposium in Modeling, Analysis and Simulation of Computer and Telecommunication Systems
Storage device performance prediction with CART models
Proceedings of the joint international conference on Measurement and modeling of computer systems
The Panasas ActiveScale Storage Cluster: Delivering Scalable High Bandwidth Storage
Proceedings of the 2004 ACM/IEEE conference on Supercomputing
Ursa minor: versatile cluster-based storage
FAST'05 Proceedings of the 4th conference on USENIX Conference on File and Storage Technologies - Volume 4
Exploiting Lustre File Joining for Effective Collective IO
CCGRID '07 Proceedings of the Seventh IEEE International Symposium on Cluster Computing and the Grid
Modeling the relative fitness of storage
Proceedings of the 2007 ACM SIGMETRICS international conference on Measurement and modeling of computer systems
Measurement and analysis of TCP throughput collapse in cluster-based storage systems
FAST'08 Proceedings of the 6th USENIX Conference on File and Storage Technologies
On application-level approaches to avoiding TCP throughput collapse in cluster-based storage systems
PDSW '07 Proceedings of the 2nd international workshop on Petascale data storage: held in conjunction with Supercomputing '07
Prefetching with adaptive cache culling for striped disk arrays
ATC'08 USENIX 2008 Annual Technical Conference on Annual Technical Conference
IPDPS '09 Proceedings of the 2009 IEEE International Symposium on Parallel&Distributed Processing
| Hi-index | 0.00 |
Cluster-based storage systems connected with TCP/IP networks are expected to achieve a high throughput by striping files across multiple storage servers. However, for the storage system interconnected with the TCP/IP network, several critical issues, like Incast effect and data access interference, invalidate the assumption that higher access parallelism always results in increased I/O throughput. To address this issue, we propose a new file striping strategy, named as storage server grouping (SSG), which changes file striping pattern across the storage servers based on the analysis of file popularity and impact of the number of storage servers on the clients' perceived performance (I/O speedup) to reduce the interference of data accesses to popular files and avoid dramatic reduction of system throughput caused by the Incast effect. Our experimental evaluation shows that SSG can improve I/O throughput by 22.1% on average.