Energy Efficiency Evaluation of Local and Offloaded Data Processing

This work evaluates four database solutions in terms of energy efficiency. This study measures energy efficiency of Cassandra, MongoDB, Redis, and MySQL data storage solutions on a selected set of physical and virtual nodes by leveraging Intel RAPL (Running Average Power Limit) technology. Extensive experimental results show that (i) Redis and MongoDB are more efficient in energy consumption under most usage scenarios, (ii) remote offloading saves energy if the network latency is low and destination CPU significantly more powerful, and (iii) computationally weaker CPUs may sometimes demonstrate higher energy efficiency in terms of J/op.