Our work relates to the area of robust query optimization (e.g., [18, 31, 32]) too.
Genoox's platform provides a robust query engine over in-house data or millions of public data points and helps researchers and genetic labs get genomic insights rapidly and accurately.
A simple, robust, query efficient, scalable and space saving multi-tenant database architecture is proposed along with an ad hoc cloud architecture where organizations can collaborate to create a cloud, that doesnt harm their existence or profitability.
However, state-of-the-art work on robust query optimization does not deal with streaming data sources or dynamic execution environments; the probability distributions or the confidence intervals that are adopted to approach a characteristic of interest are known a-priori and are not exploited during a runtime measurement collection procedure.
Thus, implementing wrappers enables a robust query system that incorporates a variety of similarity functions capable of generating data relationships not conceived during the creation of the database.
For all the manually curated fields, we describe normalization strategies in an attempt to provide standards for more robust automated querying and interoperability.
But even then, as the technology improves and becomes more robust, those queries might be even faster and easier.
A possible direction for future work is to employ the proposed monitoring phase for the robust adaptive query optimization problem.
Liotta, F.P. Preparata, R. Tamassia, Robust proximity queries: an illustration of degree-driven algorithm design, SIAM J. Comput.
Considering the substantial variation between the different studies, our multi-factorial dataset is valuable for obtaining robust answers from queries on the effect of growth on transcription of different genes.
