Cloud computing-data center Data Layout

The rapid development of cloud computing in China has also brought many urgent problems.

How to deploy datasets in cloud computing data centers is a hot topic for researchers.

At present, there is still a lack of research at home and abroad.

How to deploy datasets in various data centers is a major solution for the further development of cloud computing.

A reasonable data layout will reduce the data movement between data sets in the book center and process tasks quickly.

Currently, data processing capabilities, storage capabilities, bandwidth between data centers, and dependencies between data sets are mainly considered.

At home and abroad, K-means is used.Algorithm, Genetic algorithm, greedy method, and matrix method.

Each method has its own focus. How can we comprehensively weigh every algorithm? What kind of evaluation criteria are there to evaluate our own algorithms?

First, the number of moving datasets, the processing time of tasks, and the balancing of data centers.

Do you have other ideas? Welcome !...