A status report on research in transparent informed prefetching
ACM SIGOPS Operating Systems Review
PPFS: a high performance portable parallel file system
ICS '95 Proceedings of the 9th international conference on Supercomputing
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
The galley parallel file system
ICS '96 Proceedings of the 10th international conference on Supercomputing
A Roadmap of Agent Research and Development
Autonomous Agents and Multi-Agent Systems
Intel Paragon XP/S - Architecture and Software Enviroment
Supercomputer '93 Anwendungen, Architekturen, Trends, Seminar
Is it an Agent, or Just a Program?: A Taxonomy for Autonomous Agents
ECAI '96 Proceedings of the Workshop on Intelligent Agents III, Agent Theories, Architectures, and Languages
A New MultiAgent Based Architecture for High Performance I/O in Clusters
ICPPW '01 Proceedings of the 2001 International Conference on Parallel Processing Workshops
Implementation and performance of application-controlled file caching
OSDI '94 Proceedings of the 1st USENIX conference on Operating Systems Design and Implementation
PVFS: a parallel file system for linux clusters
ALS'00 Proceedings of the 4th annual Linux Showcase & Conference - Volume 4
MAPFS-DAI, an extension of OGSA-DAI based on a parallel file system
Future Generation Computer Systems - Special section: Data mining in grid computing environments
Providing autonomic features to a data grid
OTM'05 Proceedings of the 2005 OTM Confederated international conference on On the Move to Meaningful Internet Systems
A parallel data storage interface to GridFTP
ODBASE'06/OTM'06 Proceedings of the 2006 Confederated international conference on On the Move to Meaningful Internet Systems: CoopIS, DOA, GADA, and ODBASE - Volume Part II
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The emergence of applications with greater processing and speedup requirements, such as Grand Challenge Applications (GCA), involves new computing and I/O needs. Many of these applications require access to huge data repositories and other I/O sources, being the I/O phase a bottleneck in the computing systems, due to its poor performance. In this sense, parallel I/O is becoming one of the major topics in the area of high-performance systems. Existing data-intensive GCA have been used in several domains, such as high energy physics, climate modeling, biology or visualization. The I/O problem is not solved in this kind of applications. New approaches are required in this scene. This paper presents MAPFS, a multiagent architecture, whose goal is to allow applications to access data in a cluster of workstations in an efficient and flexible fashion, providing formalisms for modifying the topology of the storage system, specifying different data access patterns and selecting additional functionalities.