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In this paper, first, we build a directed hypergraph model for data-intensive workflow, since Hypergraphs can more accurately model communication volume and ...
Oct 22, 2024 · This paper addresses the main factors of availability requirement for parallel tasks and the influencing factors of availability support for ...
Aug 26, 2023 · A data-intensive workflow scheduling method based on deep reinforcement learning in multi-clouds is proposed.
Missing: Hypergraph- | Show results with:Hypergraph-
Third, we present an optimized hypergraph multi-level partitioning algorithm. Finally we bring a data reduced scheduling policy HEFT-P for data-intensive ...
The first contribution of this work is to build a unified hypergraph scheduling model under which efficiency and fairness are compatible with each other, ...
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Cloud-based workflow scheduling (CWSA) policy, Performance metrics & policies, minimize workflow completion time, tardiness, execution cost & resource ...
Missing: Hypergraph- | Show results with:Hypergraph-
The existing methods to solve data-intensive workflow scheduling mainly include cloud computing scheduling strategy based on heuristic thought, cloud computing ...
Missing: Hypergraph- | Show results with:Hypergraph-
Abstract—The scale of scientific applications becomes in- creasingly large not only in computation, but also in data. Many of these applications also ...
These results demonstrate the effectiveness of our data-aware scheduling approach in improving the performance of data-intensive workflow execution in cloud ...
The series publishes 80–150 page publications on topics pertaining to data management. Topics include query languages, database system architectures, ...