Storage to energy: Modeling the carbon emission of storage task offloading between data centers

机译：存储能源：在数据中心之间卸载存储任务的碳排放

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Storing data in the cloud is becoming a common trend, for both end-customers and data center operators. We propose a method for deciding where to host data storage tasks under the constraint of minimal greenhouse gas emission. The decision on whether to store data locally or store it remotely at a cleaner data center relies on the models for the local and remote data centers and the network connecting them. We conclude that the transport network that connects a local node and a "cleaner" remote data center plays a significant role in the decision of where to store data, and that the frequency of access of the data is an important and related factor.

机译：在云中存储数据正在成为终端客户和数据中心运算符的共同趋势。我们提出了一种在最小温室气体排放的约束下决定托管数据存储任务的方法。关于是否在清洁数据中心远程存储数据的决定依赖于本地和远程数据中心的模型以及连接它们的网络。我们得出结论，连接本地节点和“清洁器”远程数据中心的传输网络在存储数据的决定中起着重要作用，并且数据的访问频率是重要且相关的因子。

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《IEEE Consumer Communications and Networking Conference》|2014年||共6页
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Taal Arie; Drupsteen Dexter; Makkes Marc X.; Grosso Paola;
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Storage to energy: Modeling the carbon emission of storage task offloading between data centers

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