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The past few years have been witnessing a surging demand for cloud computing services, resulting in a huge carbon footprint and making energy cost one of the top operational costs of data centers. Meanwhile, as sustainable computing has become increasingly important, data centers are constantly pressured to cap the long-term usage of their energy produced from carbon-intensive sources (a.k.a., "Brown" energy). In this paper, the authors explain energy budgeting and pro-pose a novel online resource management algorithm, called ORM, to control the number of active servers for delay-sensitive workloads in a data center for minimizing the operational cost while satisfying the energy capping con-straint.
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