Back to Research

York University  

Project 1149 - An intelligent and dynamic planner for adaptive migration of big data systems


Running from 2022 to present

An intelligent and dynamic planner for adaptive migration of big data systems


Research team:

  • IBM Project Lead (RCL): Dariusz Jania, IBM
  • IBM Manager (RCM): Marcin Janiszewski, IBM
  • IBM Sponsor (RCS): Michael Kwok, IBM
  • IBM Contributor (RCC): Mateusz Bochenek, IBM

Migration of data between two different systems can become a rather complex process. In practice, the challenge does not lie only on transferring and possibly reformatting the data for the new system. On one hand, the migration requires resources that need to be allocated optimally, so that we reduce costs and migration time and avoid downtime as much as possible. On the other hand, we need to assume that other aspects of complexity may be present, including that the source, target and middleware systems may not reside in the same infrastructure or may not belong to the same proprietor. The final requirement is that the middleware needs to be adaptive. The conditions of the migration process and infrastructure may vary during the actual migration. The objective of this project is to build a decision-support system to optimize the parameters of the migration and of the infrastructure and a self-adaptive migration middleware that will be able to monitor the migration and adapt its configuration at runtime.

Learn More about the Research Team.  

Explore the product that harvests this research results  


York University