Title :
Minimizing data center SLA violations and power consumption via hybrid resource provisioning
Author :
Gandhi, Anshul ; Chen, Yuan ; Gmach, Daniel ; Arlitt, Martin ; Marwah, Manish
Author_Institution :
Carnegie Mellon Univ., Pittsburgh, PA, USA
Abstract :
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.
Keywords :
capacity management (computers); computer centres; cost reduction; energy conservation; power aware computing; power consumption; resource allocation; base workload; capacity allocation; coarse time scales; data center SLA violations; data centers; energy conservation; energy consumption; historical workload traces; hybrid resource provisioning; long-term patterns; power consumption; power cycling; predictive provisioning; production systems; provisioning cost reduction; reactive provisioning; resource allocation; Energy consumption; Equations; Hybrid power systems; Noise; Power demand; Reactive power; Servers; data center; performance management; power management; resource allocation;
Conference_Titel :
Green Computing Conference and Workshops (IGCC), 2011 International
Conference_Location :
Orlando, FL
Print_ISBN :
978-1-4577-1222-7
DOI :
10.1109/IGCC.2011.6008611