Abstract: Recently emerged cloud computing offers a promising platform for executing scientific workflow applications due to its similar performance ...
In this paper, we propose a set of algorithms for intelligent data placement in collaborative cloud environment. Our strategy considers various factors such ...
Xin Liu et al. proposed "Towards intelligent data placement for scientific workflows in collaborative cloud environment" [9] In this paper Xin concern about the ...
Xin Liu, Anwitaman Datta : Towards Intelligent Data Placement for Scientific Workflows in Collaborative Cloud Environment. IPDPS Workshops 2011: 1052-1061.
In this paper, we propose a matrix based k-means clustering strategy for data placement in scientific cloud workflows.
This paper proposes a matrix based k -means clustering strategy for data placement in scientific cloud workflows that dynamically clusters newly generated ...
Apr 13, 2021 · This paper combines advantages of both edge and cloud computing to construct a data placement model, which can balance data transfer time and data placement ...
Missing: Collaborative | Show results with:Collaborative
In this paper, we propose a data placement approach based on heuristic genetic algorithm which takes into accounts control and data flow dependency, in order to ...
In scientific cloud workflows, large amounts of application data need to be stored in distributed data centres. To effectively store these data, a data ...
Apr 13, 2021 · To address this issue, this paper combines advantages of both edge and cloud computing to construct a data placement model, which can balance ...
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