Our approach adapts data placement based on application-specific dynamic data access patterns, and applies access pattern-driven and location-aware mechanisms ...
Nov 15, 2015 · ABSTRACT. Data staging and in-situ/in-transit data processing are emerg- ing as attractive approaches for supporting extreme scale sci-.
Our approach adapts data placement based on application-specific dynamic data access patterns, and applies access pattern-driven and location-aware mechanisms ...
Our approach adapts data placement based on application-specific dynamic data access patterns, and applies access pattern-driven and location-aware mechanisms ...
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In this paper, we present a framework to support online adaptive data analysis placement during the execution of an in-situ workflow.
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In this paper, we propose a policy-based autonomic data management (ADM) approach that can adaptively respond at runtime to dynamic data management ...
Jan 31, 2022 · Adaptive data placement for staging-based coupled scientific workflows. In Proceedings of the. International Conference for High Performance ...
The evaluation results demonstrate that our approach can effectively improve data access performance and overall efficiency of coupled scientific workflows.