… a self-learning and self-adaptive approach to resource allocation for cloud-based software
services… This paper presents a self-learning and self-adaptive approach to resource allocation …

… Our machine learning approach allows BSDS to learn the behavior of each backend …
storage systems and investigate the utilization of our self-learning black box scheduler in a cloud …

… grounded on sound machine learning algorithms, which are dynamic and self-adaptive in …
on a single learning algorithm. Nevertheless, in Section 5, we will show that a single learning …

… self-learning. These are (i) the existence of innate psychological traits that favor autonomous
learning; (ii) the possession of technical skills for selflearning… autonomous learning process (…

… service provider and service user. The focal public policy labs in this chapter are seeking to
usher in new forms of learning in … , learning analytics, and self-learning software that can (or …

… both the free software products themselves and their applications. It is a direct factor in
stimulating the desire for learning and self-education. The use of free software in the training of …

… learning to use an ERP system. We also gained insights into the most popular learning …
This work enhanced our understanding of user processes when learning computer software…

… In this paper, by combining the machine learning … software services. In contrast, previous
work was based on the QoS prediction model that is immediately obtained by machine learning. …

… primarily relate to the way that we design the learning systems that orchestrate emergence,
that is, the way in which a system builds its own self-understanding and correspondingly …

… deployment of software defined networks facilitating a separa… self-learning control strategies
in software defined networking networks. NetworkAI employs deep reinforcement learning …