MetaFa: Metadata Management Framework for Data Sharing in Data-Intensive Applications
IWANN '09 Proceedings of the 10th International Work-Conference on Artificial Neural Networks: Part II: Distributed Computing, Artificial Intelligence, Bioinformatics, Soft Computing, and Ambient Assisted Living
Services + Components = Data Intensive Scientific Workflow Applications with MeDICi
CBSE '09 Proceedings of the 12th International Symposium on Component-Based Software Engineering
Distributed data access/find system with metadata for data-intensive computing
GRID '08 Proceedings of the 2008 9th IEEE/ACM International Conference on Grid Computing
Proceedings of the 4th Workshop on Workflows in Support of Large-Scale Science
Towards Energy Aware Scheduling for Precedence Constrained Parallel Tasks in a Cluster with DVFS
CCGRID '10 Proceedings of the 2010 10th IEEE/ACM International Conference on Cluster, Cloud and Grid Computing
Towards optimising distributed data streaming graphs using parallel streams
Proceedings of the 19th ACM International Symposium on High Performance Distributed Computing
Hierarchical performance measurement and modeling of the linux file system
Proceedings of the 2nd ACM/SPEC International Conference on Performance engineering
Distributed workflow-driven analysis of large-scale biological data using biokepler
Proceedings of the 2nd international workshop on Petascal data analytics: challenges and opportunities
Parallel file system measurement and modeling using colored petri nets
ICPE '12 Proceedings of the 3rd ACM/SPEC International Conference on Performance Engineering
Proceedings of the 2012 Joint EDBT/ICDT Workshops
Embodied interaction with complex neuronal data in mixed-reality
Proceedings of the 2012 Virtual Reality International Conference
Data-intensive architecture for scientific knowledge discovery
Distributed and Parallel Databases
Accelerating Biomedical Data-Intensive Applications Using MapReduce
GRID '12 Proceedings of the 2012 ACM/IEEE 13th International Conference on Grid Computing
Energy-aware parallel task scheduling in a cluster
Future Generation Computer Systems
Data-Intensive Cloud Computing: Requirements, Expectations, Challenges, and Solutions
Journal of Grid Computing
A component-based end-to-end simulation of the Linux file system
Software and Systems Modeling (SoSyM)
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The deluge of data that future applications must process—in domains ranging from science to business informatics—creates a compelling argument for substantially increased R&D targeted at discovering scalable hardware and software solutions for data-intensive problems.