论文标题
在数据中心的需求响应的不同用户行为表征
Characterization of different user behaviors for demand response in data centers
论文作者
论文摘要
数字技术正在变得无处不在，而其影响会增加。这种影响的越来越多的部分远离最终用户，网络或数据中心，导致反弹效应。因此，用于更负责任的解决方案是参与用户。作为此任务的第一步，这项工作考虑了数据中心的用户，并通过仅改变其工作提交行为来表征其在短时间内减少计算负载的贡献。（i）贡献是：（i）模拟器batsim的开放源代码插件以基于真实数据来模拟用户； （ii）在时间窗口中探索四种类型的用户行为，以减少负载，即延迟，退化，重新配置或放弃其工作提交。我们研究这些行为对四个不同指标的影响：时间窗口和之后消耗的能量，平均等待时间和平均速度放缓。我们还表征了用户参与最有益的条件。
Digital technologies are becoming ubiquitous while their impact increases. A growing part of this impact happens far away from the end users, in networks or data centers, contributing to a rebound effect. A solution for a more responsible use is therefore to involve the user. As a first step in this quest, this work considers the users of a data center and characterizes their contribution to curtail the computing load for a short period of time by solely changing their job submission behavior.The contributions are: (i) an open-source plugin for the simulator Batsim to simulate users based on real data; (ii) the exploration of four types of user behaviors to curtail the load during a time window namely delaying, degrading, reconfiguring or renouncing to their job submissions. We study the impact of these behaviors on four different metrics: the energy consumed during and after the time window, the mean waiting time and the mean slowdown. We also characterize the conditions under which the involvement of users is the most beneficial.
