Tuning the performance of I/O-intensive parallel applications
Proceedings of the fourth workshop on I/O in parallel and distributed systems: part of the federated computing research conference
Heuristics for Scheduling I/O Operations
IEEE Transactions on Parallel and Distributed Systems
Cluster I/O with River: making the fast case common
Proceedings of the sixth workshop on I/O in parallel and distributed systems
On implementing MPI-IO portably and with high performance
Proceedings of the sixth workshop on I/O in parallel and distributed systems
Parallel I/O for scientific applications on heterogeneous clusters: a resource-utilization approach
ICS '99 Proceedings of the 13th international conference on Supercomputing
Evaluation of collective I/O implementations on parallel architectures
Journal of Parallel and Distributed Computing
A case study in application I/O on Linux clusters
Proceedings of the 2001 ACM/IEEE conference on Supercomputing
An Integrated Resource Scheduling Approach on Cluster Computing Systems
IPDPS '03 Proceedings of the 17th International Symposium on Parallel and Distributed Processing
Performance of Parallel I/O Scheduling Strategies on a Network of Workstations
ICPADS '01 Proceedings of the Eighth International Conference on Parallel and Distributed Systems
Panda: fast access to persistent arrays using high-level interfaces and server directed input/output
Panda: fast access to persistent arrays using high-level interfaces and server directed input/output
PVFS: a parallel file system for linux clusters
ALS'00 Proceedings of the 4th annual Linux Showcase & Conference - Volume 4
Fault-tolerant grid resource management infrastructure
Neural, Parallel & Scientific Computations - Special issue: Grid computing
Adaptive parallel I/O scheduling algorithm for multiprogrammed systems
Future Generation Computer Systems - Parallel input/output management techniques (PIOMT) in cluster and grid computing
A performance model for analysis of heterogeneous multi-cluster systems
Parallel Computing
Adaptive parallel I/O scheduling algorithm for multiprogrammed systems
Future Generation Computer Systems - Parallel input/output management techniques (PIOMT) in cluster and grid computing
MetaLoRaS: a predictable metascheduler for non-dedicated multiclusters
ISPA'06 Proceedings of the 4th international conference on Parallel and Distributed Processing and Applications
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In this paper, we address the problem of effective management of parallel I/O in multiprogrammed cluster computing systems by using appropriate I/O scheduling strategies. The performance of I/O devices lags behind the performance of processors and network systems, resulting in I/O becoming the bottleneck in current systems. This gap is expected to increase in the future since I/O performance is limited by physical motion. Therefore, it is imperative that novel techniques for improving I/O performance be developed. Parallel I/O is a promising approach to alleviating this bottleneck. However, very little work exists with respect to scheduling parallel I/O operations explicitly. We propose new I/O scheduling algorithms and evaluate the relative performance of the proposed policies against the most commonly used approaches. Our preliminary results show that the proposed policies outperform current methods and can substantially enhance the performance of real-world scientific applications.