Automatic data reuse for accelerating data intensive applications in the Cloud
Automatic data reuse for accelerating data intensive applications in the Cloud
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DOI：
10.1109/icitst.2013.6750272
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发表时间：
2013-12
期刊：
影响因子：
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通讯作者：
Liangxiu Han;Zheng Xie;R. Baldock
中科院分区：
文献类型：
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作者：
Liangxiu Han;Zheng Xie;R. Baldock
本文提出了一种面向成本、基于Petri网的智能数据重用管理，以最大限度地减少数据移动，降低计算和存储成本，从而提高云中数据密集型应用程序的性能。所提出的方法可以自动管理数据密集型应用程序的中间数据集，根据之前的运行预测应用程序的成本，并智能地决定是否应该为后续运行存储或删除中间结果，并动态优化云中数据密集型应用程序的成本。实验评估表明，所提出的数据重用机制可以显着降低总体成本并提高数据密集型应用程序的性能。
This paper proposes a cost-oriented, petri-net based intelligent data reuse management to minimise data movement, reduce computing and storage costs and therefore improve the performance of data intensive applications in the Cloud. The proposed approach can automatically manage intermediate datasets of data intensive applications, predict the cost of the applications based on the previous runs, and intelligently decide whether the intermediate results should be stored or deleted for the subsequent runs, and dynamically optimise the cost of data intensive applications in the Cloud. The experimental evaluation demonstrates the proposed data reuse mechanism can significantly reduce the overall cost and enhance the performance of data intensive applications.