Zen and the art of data structures: From self-tuning to self-designing data systems ZDNet

What if the huge design space for data-driven software could be efficiently mapped and explored in order to have tailor-made, optimized solutions? Researchers from Harvard combine analytical models, benchmarks, and machine learning to make this possible. The Internet of Things is creating serious new security risks. We examine the possibilities and the dangers. Stratos Idreos is an Assistant Professor at Harvard, and leads the Data Systems Laboratory (DASlab).