Eco-friendly Database Space Saving Using Proxy Attributes

Rapid data growth and inefficient data storage are two concerning issues in green computing. The decision on the eco-friendly technology to use often relies on the amount of carbon footprint produced. Thus, it would be valuable to avoid inefficient electric power utilization by minimizing physical data storages to store large data volumes. This paper reported the implementation of proxy attributes to reduce space by optimizing the available database space through attributes substitution. We examine a set of proxies retrieved from the Comprehensive Microbial Resource (CMR) public database regarding their space-saving and accuracy properties.  The results indicated that the proxies understudy offer space-saving while maintaining accuracy.