Dynamo

The rapid acceptance of social networking sites like Facebook, Twitter etc and with the huge use of mobile phones, the data volume is increasing at the rate of terabytes. As the data size and variety is increasing dramatically, databases intend to be more schema-less and less strict, in order to achieve higher scalability. Their queries tend to be quick responding, which grants them very fast writes and even faster reads. All these could not be managed with our Relational Databases or SQL. The ease of scalability and improved security has increased the popularity of Not-Only SQL. But they are not as reliable or effective as Relational Databases. Here, in this paper, an extensive study of the pros and cons of SQL and NoSQL, their relevance in cloud and at last, an evaluation of some NoSQL databases is also done.

We experimentally characterize magnetic field fluctuations in a strongly turbulent flow of liquid sodium in the presence of a large externally applied field. We reach high interaction parameter (up to N = 17) for moderate magnetic Reynolds number (up to Rem = 18), a previously unexplored parameter range for liquid metal flows. As the interaction parameter (i.e. the ratio of Lorentz to inertial forces) is increased, the system passes through distinct regimes, which we classify. We find that for certain ranges of the applied magnetic field, particularly at high values, the induced magnetic field exhibits large, coherent oscillations. Spatial structure in these induced field oscillations suggests the formation of non-axisymmetric vortices that precess at a fraction of the impeller rotation rate. We also investigate the effect of rough versus smooth boundaries and relate these results to topographic core–mantle coupling in the Earth.

The rapid acceptance of social networking sites like Facebook, Twitter etc and with the huge use of mobile phones, the data volume is increasing at the rate of terabytes. As the data size and variety is increasing dramatically, databases intend to be more schema-less and less strict, in order to achieve higher scalability. Their queries tend to be quick responding, which grants them very fast writes and even faster reads. All these could not be managed with our Relational Databases or SQL. The ease of scalability and improved security has increased the popularity of Not-Only SQL. But they are not as reliable or effective as Relational Databases. Here, in this paper, an extensive study of the pros and cons of SQL and NoSQL, their relevance in cloud and at last, an evaluation of some NoSQL databases is also done. General Terms NoSQL databases, Cloud and Big data.

A major problem for modern four dimensional computational simulations is that they generate large volumes of data at a much faster rate than can be effectively processed using standard storage and visualization techniques. We are in the process of building an advanced system for interactive, real-time visualization of the output from computational planetary dynamo simulations. The dynamo code is a modified version of Magic2 (J. Wicht, Phys. Earth Planet. Int., in press, 2002). Time-scaling of typical dynamo simulations is such that it is presently feasible to observe the motion of convection and magnetic variations in the real time numerical output, similar to a laboratory experiment. The visualization system is designed to run relatively independently of the dynamo code. In particular, the system architecture allows three-dimensional rendering of scalar and vector fields to occur independently of the data production process. Thus data production delays do not cause delays in manipu...