SmoothOperator: reducing power fragmentation and improving power utilization in large-scale datacenters
SmoothOperator: reducing power fragmentation and improving power utilization in large-scale datacenters Hsu et al., ASPLOS’18
What do you do when your theory of constraints analysis reveals that power has become your major limiting factor? That is, you can’t add more servers to your existing datacenter(s) without blowing your power budget, and you don’t want to build a new datacenter just for that? In this paper, Hsu et al. analyse power utilisation in Facebook datacenters and find that overall power budget utilisation can be comparatively low, even while peak requirements are at capacity. We can’t easily smooth the workload (that’s driven by business and end-user requirements), but maybe we can do something to smooth the power usage.
Our experiments based on real production workload and power traces show that we are able to host up to 13% more machines in production, without changing the underlying power infrastructure. Utilizing the unleashed power headroom with dynamic reshaping, we achieve up to an estimated total of 15% and 11% throughput improvement for latency-critical service and batch service respectively at the same time, with up to 44% of energy slack reduction.
No more headroom and low utilisation…
There’s a maximum safe amount of power Continue reading
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