Minimizing Data Center SLA Violations and Power Consumption via Hybrid Resource Provisioning

This paper presents a novel approach to correctly allocate resources in data centers, such that SLA violations and energy consumption are minimized. Our approach first analyzes historical workload traces to identify long-term patterns that establish a “base” workload. It then employs two  techniques to dynamically allocate capacity: predictive  provisioning handles the estimated base workload at coarse  time scales (e.g., hours or days) and reactive provisioning  handles any excess workload at finer time scales (e.g., minutes).  

The combination of predictive and reactive provisioning achieves a significant improvement in meeting SLAs, conserving energy, and reducing provisioning costs. We implement and evaluate our approach using traces from four production systems. The results show that our approach can provide up to 35% savings in power consumption and reduce SLA violations by as much as 21% compared to existing techniques, while avoiding frequent power cycling of servers