1. Data storage management and user profiling with AI methods W. Funika, F.Szura, J.Kitowski KUKDM 2015, Zakopane

2. Motivation Develop a data management system The developed system should be able to: – Exploit Artificial Intelligence methods – Profile user behavior – Manage user data with taking into account his/her individual needs and storage and communication costs Optimize the usage of storage infrastructure and improve the performance of computation

3. Solution overview System management based on: – Monitoring of current actions performed by the user and actual infrastructure state – Clustering of the user actions to define the profiles of usage of the infrastructure – Classifying of the user actions to the apropriate profiles to manage the user data in the way that presents his/her needs – Managing the user data, their location in the infrastructure Actions performed on managed data are chosen for each user separately and are connected with the profile which was assigned to the user Users Monitoring Detection of possible profiles of user behavior User classification to one of possible profiles Data management. Data access management

4. Poster presents our solution in data management which exploits AI methods which are used to classify the user behaviour to the apropriate profile We invite you to our poster no. 16