… machinelearning in order to pinpoint our system and have some grasp of what machine learning … In other hands we focus in this paper on detection schemes we use machinelearning …
… This paper provides a detailed review of machinelearning-based resource … of cloud computing like service models, deployment models, and machinelearning use in cloudcomputing. …
K Li, C Gibson, D Ho, Q Zhou, J Kim… - 2013 IEEE Systems …, 2013 - ieeexplore.ieee.org
… with effective machinelearning algorithms limits the ability of practitioners to make effective use of cloudcomputing. This research compares various machinelearning algorithms on the …
… Machinelearning techniques are extensively used in this area. In this paper, we present a … machinelearning techniques for resource management solutions in the cloudcomputing …
… The CloudComputing (CC) technology refers to an infrastructure … In this paper, we survey IoT and CloudComputing … aforementioned technologies (ie, CloudComputing and IoT) have …
J Zhang, N Xie, X Zhang, K Yue, W Li… - Computers, Materials & …, 2018 - researchgate.net
… Abstract: Resource allocation in auctions is a challenging problem for cloudcomputing. … of machinelearning to model and analyze the multi-dimensional cloud resource allocation …
MA Sharkh, Y Xu, E Leyder - … on Electrical and Computer …, 2020 - ieeexplore.ieee.org
… impact that machinelearning algorithms can have on Cloud application … Cloud providers and clients. In this work, we evaluate the efficiency of machinelearning algorithms in the Cloud …
… language from a machinelearning perspective by presenting … examples from the machine learning and graph analytics … the quintessentially parallel machinelearning algorithm. We then …
Y Zhang, B Liu, Y Gong, J Huang, J Xu… - arXiv preprint arXiv …, 2024 - arxiv.org
… problems in cloudcomputing resource scheduling and management using machinelearning … resource utilization and unbalanced load in the cloud environment, this study proposes a …