SFIDE: a simulation infrastructure for data centers

Resumen

Data centers are huge power consumers and have very high operational costs. Both industry and academiahave proposed strategies at multiple levels (server, room layout, cooling, workload allocation, etc.) to in-crease the efficiency of these facilities. Testing the impact of variables so different in nature such as layoutor workload allocation can only be managed by simulators. Current simulation infrastructures are eitherfocused on data room thermal dynamics, or target only a specific stage of data center operations, such asworkload allocation. Moreover, they are geared for specific use-cases such as HPC or cloud computing. Inthis paper we present a data center modeling and simulation framework, for both HPC and cloud applica-tions, to assess data center performance, thermal behavior, energy efficiency and operational cost. Our goalis to show the possibilities of the current data center modeling and simulation framework. Furthermore, aswe provide a fully configurable, flexible and scalable infrastructure any kind of policy, data center size orworkload amount could easily be implemented over the simulator. We also provide the data sets used tovalidate our models and policies, obtained from real servers and data centers, so as to enable researchers totest their strategies in a realistic setup.