The awareness of Privacy issues in Ambient Intelligence

Abstract

Intelligent Environments (IE) collect and process a massive amount of personrelated and sensitive information. The aim of this work is to show the awareness of privacy issues in AmI and to identify the relevant design issues that should be addressed in order to provide privacy in the design of Ambient Intelligence's applications focused in the user´s domain and involved technologies. We propose a conceptual framework in order to enforce privacy that takes care of interaction between technologies and devices, users and application´s domain with different modules that contain different steps relating to the privacy policies.

RETRACTED CHAPTER: An Energy-Aware Dynamic Resource Management Technique Using Deep Q-Learning Algorithm and Joint VM and Container Consolidation Approach for Green Computing in Cloud Data Centers

“…As containers can be utilized denser in comparison with virtual machines, they increase the need for efficient cloud resource utilization. Containerization, as a lightweight remedy, is applied for management and positioning the portable packages and applications on a large number of servers [2][3][4][5][6][7][8][9][10].…”