Current Research on Significance of Artificial Intelligence and Machine Learning Techniques in Smart Cloud Computing: A Review

Realization of the tremendous features and facilities provided by Cloud Computing by the geniuses in the world
of digital marketing increases its demand. As customer satisfaction is the manifest of this ever shining field,
balancing its load becomes a major issue. Various heuristic and meta-heuristic algorithms were applied to get
optimum solutions. The current era is much attracted with the provisioning of self-manageable, self-learnable,
self-healable, and self-configurable smart systems. To get self-manageable Smart Cloud, various Artificial
Intelligence and Machine Learning (AI-ML) techniques and algorithms are revived. In this review, recent trend
in the utilization of AI-ML techniques, their applied areas, purpose, their merits and demerits are highlighted.
These techniques are further categorized as instance-based machine learning algorithms and reinforcement
learning techniques based on their ability of learning. Reinforcement learning is preferred when there is no
training data set. It leads the system to learn by its own experience itself even in dynamic environment.