Provided by: Institute of Electrical & Electronic Engineers
Topic: Big Data
Date Added: Jun 2011
In this paper the authors present a novel approach to correctly allocate resources in data centers, such that SLA violations and energy consumption are minimized. Their 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).