Abstract: A novel data partitioning method adapted to a distributed parallel streams processing system for power industry is proposed.

A novel data partitioning method adapted to a distributed parallel streams processing system for power industry is proposed. This method uses change- aware ...

Abstract. A novel data partitioning method adapted to a distributed parallel streams processing system for power industry is proposed.

A novel data partitioning method adapted to a distributed parallel streams processing system for power industry is proposed. This method uses changeaware ...

Data Partitioning over Data Streams Based on Change-aware Sampling. ICEBE 2005: 582-585. [c2]. view. electronic edition via DOI · unpaywalled version ...

One method for computing the sampling weights for the geo- distributed EW algorithm is to compute frequencies of the distinct values in the joining columns for ...

Jun 12, 2008 · ABSTRACT. Data Stream Management Systems (DSMS) are gaining acceptance for applications that need to process very large volumes of data in ...

For many applications over such data, we must obtain compact sum- maries of the stream. These summaries should allow accurate an- swering of post hoc queries ...

The performance of modern distributed stream processing systems is largely dependent on balanced distribution of the workload across cluster.

Jul 11, 2023 · Data partitioning is the process of dividing a large dataset into smaller, more manageable subsets called partitions.