partitionability

the algorithm's partitionability significantly impacts its scalability.

we assessed the partitionability of the dataset for distributed processing.

high partitionability is crucial for achieving parallel computation efficiency.

poor partitionability can lead to bottlenecks in the system's performance.

improving partitionability is a key challenge in distributed database design.

the system exhibits good partitionability across multiple nodes.

analyzing partitionability helps optimize data distribution strategies.

we need to evaluate the partitionability of the workload before deployment.

the goal is to maximize partitionability for faster query execution.

partitionability constraints limit the choice of data storage solutions.

understanding partitionability is essential for designing scalable systems.