Parinaz Ameri

Learn More
The evaluation and benchmarking of NoSQL databases is challenging due to the variety of query languages and also due to the denormalized scheme that allows to include non-scalar values and repeatable structures such as nested documents. In the rather young age of NoSQL databases, there are not many studies on a conventional solution to enable a fair(More)
Analyses in climate research typically operate on large datasets stored in file hierarchies. However, e.g. Indexing, meta-data search and replication is challenging with this approach. A new approach is to store and index datasets in large, distributed databases. In order to demonstrate the performance improvement, we utilized the so-called general matching(More)
The remote sensing of atmospheric trace gases investigates dynamic, microphysical and chemical processes in the Earth’s atmosphere, with the goal to understand, quantify and predict its natural variability and long-term changes. Accurate measurements of atmospheric trace gases from various observational platforms (ground-based stations, air craft, balloons,(More)
We present a distributed system for storage, processing, three-dimensional visualisation and basic analysis of data from Earth-observing satellites. The database and the server have been designed for high performance and scalability, whereas the client is highly portable thanks to having been designed as a HTML5- and WebGL-based Web application. The system(More)
Considering the wide usage of databases and their ever growing size, it is crucial to improve the query processing performance. Selection of an appropriate set of indexes for the workload processed by the database system is an important part of physical design and performance tuning. This selection is a non-trivial tasks, especially considering possible(More)
  • Parinaz Ameri
  • 2016 IEEE 32nd International Conference on Data…
  • 2016
Due to wide usage of databases and ever increasing size of their datasets and workloads, tuning the physical database design to improve performance with regard to specific workloads is crucial. An important aspect of physical database design is selecting fitting indexes to improve run-time of a workload. The proper set of indexes should be chosen by(More)
One important aspect of physical database design is the selection of a proper set of indexes for a workload. Creation of indexes in a database system is subject to storage constraints. It is also affected by the ratio of update operations in the workload. Therefore, the cost and benefit of each set of indexes should be evaluated by a proper optimization(More)
  • 1