1. c a m p u s Thermal-aware optimization techniques for energy minimization in Data Centers MONCLOA ArTeCS, Universidad Complutense Madrid LSI Group, Universidad Politécnica de Madrid GLOBAL CHANGE AND NEW ENERGIES CLUSTER • Proactive and reactive thermal-awareoptimization techniques • Currently at the resource manager level • Holistic approach: computing and cooling resources • Application-awarereness, workload profiling and heterogeneity Marina Zapater – marina@die.upm.es

2. Researchoverview and currentissues • Analysis of the computational and cooling resources: acquire knowledge of the data center. • Wireless sensor network (temperature, energy, air pressure…) • Servers internal sensors • Application-profiling information • Decision-making in a reactive and proactive way: • Allocate both computing and cooling resources • Anomaly detection (hotspot detection) • Reliability enhancement • Until now: task profiling, heterogeneous servers, MILP optimization algorithms for RM (Slurm) • GA, SA… even SMT solvers? • Current issues: lack of real scenarios – Data centers • Thermal/Power model creation and validation issues.