Dynamic data center load response to variability in private and public electricity costs
Dynamic data center load response to variability in private and public electricity costs
复制标题
数据中心负载对私人和公共电力成本变化的动态响应
DOI：
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发表时间：
2016
期刊：
影响因子：
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通讯作者：
Yuvraj Agarwal
中科院分区：
文献类型：
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作者：
Nathaniel Horner;I. Azevedo;D. Sicker;Yuvraj Agarwal
本文评估了内容分发网络在地理分布的数据中心之间转移流量负载以响应电价的小时变化的潜在成本节约激励。这些激励措施可能与公用事业和电网运营商的利益相一致，可能采取调峰或辅助服务的形式。然而，私人成本节约并不严格符合公共利益有关的避免健康和环境损害发电厂排放，所以我们比较私人成本最小化的战略，最大限度地减少这些外部性。我们发现，可行的战略存在，同时实现公共和私人利益，负荷转移可以导致大量的成本节约和避免在某些情况下的损害。对延迟和带宽成本增加的担忧可以通过修改模型来缓解。然而，实现的节省水平取决于特定网络运营商的具体情况和电价表。
This paper assesses the potential cost-saving incentives for content distribution networks to shift traffic load among geographically distributed data centers in response to hourly variation in electricity prices. Such incentives are likely aligned with benefits to utilities and grid operators, which might take the form of peak-shaving or ancillary services. However, private cost savings are not strictly aligned with public benefits related to the avoidance of health and environmental damages from power plant emissions, so we compare private cost minimization with a strategy that minimizes these externalities. We find that feasible strategies exist to simultaneously realize public and private benefits and that load shifting can result in substantial cost savings and avoided damages in some circumstances. Concerns over increased latency and bandwidth costs can be mitigated with modifications to the model. However, the level of realized savings is dependent upon the specifics of a particular network operator and electricity rate schedule.