We introduce a new robust tuning paradigm to aid in the design of data systems with uncertain assumptions by modeling the behavior of the system and then utilizing these models in conjunction with techniques in robust optimization. Our approach is demonstrated through tuning a popular log-structured merge-tree based storage engine, RocksDB
Recently we see many companies that are moving their data from local data centers to public-managed clouds. But with these movements, some questions raise up.
The Big Data Stack EU research project aims at providing a complete infrastructure management system, which bases the management and deployment decisions on data from current and past application and infrastructure deployments. It focuses on: