1. Storage Usage in Kafka: Challenges, Strategies and Best Practices -- 2. Strategies for Aggregation, Data Cardinality and Batching -- 3. Understanding and Addressing Partition Skew in Kafka -- 4. Dealing with Skewed and Lost Leaders -- 5. CPU Saturation in Kafka: Causes, Consequences and...

This paper review some state-of-the art non-parallel and parallel approaches of data clustering and present the usefulness of parallel genetic algorithms (PGAs) for clustering. In solving the clustering problem many traditional methods stuck in local optimal solutions. Further, in such...