作者
Zichen Xu, Nan Deng, Christopher Stewart, Xiaorui Wang
发表日期
2015/7/7
研讨会论文
2015 IEEE International Conference on Autonomic Computing
页码范围
177-186
出版商
IEEE
简介
Internet services replicate data to geo-diverse sites around the world, often via consistent hashing. Collectively, these sites span multiple power authorities that independently control carbon emissions at each site. Serving data from a carbon-heavy site increases the service's carbon footprint, but it is hard to place data at sites that will have low emission rates without replicating to too many sites. We present CADRE, a carbon-aware data replication approach. CADRE forecasts emission rates at each site and replicates data to sites that combine together to yield low carbon footprints. It makes replication decisions online, i.e., When data is created, and thus avoids emissions caused by moving data frequently in response to changing emission rates. CADRE uses the multiple-choice secretary algorithm to replicate objects with large footprints to low emission sites. It models carbon footprints for each object using the …
引用总数
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学术搜索中的文章
Z Xu, N Deng, C Stewart, X Wang - 2015 IEEE International Conference on Autonomic …, 2015