The Vesta parallel file system
ACM Transactions on Computer Systems (TOCS)
The galley parallel file system
ICS '96 Proceedings of the 10th international conference on Supercomputing
Input/output access pattern classification using hidden Markov models
Proceedings of the fifth workshop on I/O in parallel and distributed systems
Automatic parallel I/O performance optimization in Panda
Proceedings of the tenth annual ACM symposium on Parallel algorithms and architectures
A Blackboard Architecture for Query Optimization in Object Bases
VLDB '93 Proceedings of the 19th International Conference on Very Large Data Bases
ViPIOS: The Vienna Parallel Input/Output System
Euro-Par '98 Proceedings of the 4th International Euro-Par Conference on Parallel Processing
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
ViMPIOS, a "truly" portable MPI-IO implementation
EURO-PDP'00 Proceedings of the 8th Euromicro conference on Parallel and distributed processing
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The performance of parallel I/O operations is highly dependent on various parameters like disk transfer rates, speed of processor (network) interconnections, size of available memory for data buffers and so forth. Tuning of parallel I/O to achieve optimum performance is a very complex task for application programmers. This paper presents a method to perform I/O optimization automatically. The approach used is based on a combination of a blackboard system and an A* algorithm, which allows to achieve (near) optimal performance in reasonable time. The architecture of the blackboard is described in detail and illustrated on an example based on a simple cost model.