We focus on a data-tier implemented with a traditional SQL database.
More specifically, we focus on a data-driven operator-based approach.
While current approaches are mostly model-based, and designed for capturing the temporal evolution of the underlying stochastic processes, we focus on a data-driven approach where statistics are defined and computed in function spaces where individual spike trains are viewed as points.
Although this work focused on a data intensive cloud application, the same logic can easily be extended to other cloud applications.
It is focused on a data model with heavy streaming at the raw data level based on trigger, and on the achievement of the maximum flexibility in the use of distributed computing resources.
The aim of that study was merely to sample acceptable complexes (l-RMSD<10 Å) among 2000 rigid body structures, focusing on a data set of (mostly rigid) enzyme complexes.
This paper focuses on a data-centered view, which defines a set of abstract services needed for building services, and discusses the resulting challenges.
This chapter focuses on a data-driven technique to organize data manipulation that triggers computation only when its required data is brought into memory and amortizes the cost of disk I/O over large groups of computation operations.
The initiative focused on a data-driven process that identified clear targets, based on population need, for each step of the HAART programme.
We focus on a general, data-driven optimization-based method for generating scenario trees that does not require strict assumptions on the probability distributions of the uncertain parameters.
