… solutions using Machine learning (ML) algorithms. … machine learning techniques in cloud
computing environments. In Proceedings of the International Conference of Cloud Computing …

… most popular machine learning algorithms used in practice. Machine learning methods can
… Machine learning can be used also for inference tasks, ie, to understand how the response …

… The overwhelm of advanced and high-performance cloud computing resources has currently
… But although machine learning and cloud computing are not necessarily converging, the …

… Accurate task workload prediction is crucial in cloud resource management. In this paper,
we first measured and compared the state-of-the-art statistical and machine learning methods …

… impact that machine learning algorithms can have on Cloud application … Cloud providers
and clients. In this work, we evaluate the efficiency of machine learning algorithms in the Cloud …

… The Cloud Computing (CC) technology refers to an infrastructure … In this paper, we survey
IoT and Cloud Computing … aforementioned technologies (ie, Cloud Computing and IoT) have …

… problems in cloud computing resource scheduling and management using machine learning
… resource utilization and unbalanced load in the cloud environment, this study proposes a …

… cloud computing, then load balancing in cloud computing, machine learning-based load
balancing in cloud computing and deep learning-based load balancing in cloud computing. The …

… Abstract In this paper we propose a novel reservation plan adaptation system based on
machine learning. In the context of cloud auto-scaling, an important issue is the ability to define …

… Machine Learning (ML) and Data Science community are striving hard to improve the … ,
we propose a Machine Learning model that can be run continuously on Cloud Data Centers (…