… 1 illustrates the architecture of the resource management scheme for cloud computing
proposed in this work. An application service resource pool is used to collect all applications …

… technology impacts the performance of the cloud. It is a significant … issue by applying a
machine learning model to reduce the … two phases the machine learning preparing stage and the …

… assaults in cloud computing environment via the use of a machine learning techniques both
… , and accessibility in cloud computing environment, while drastically reducing false alarms. …

… : Cloud computing has developed as a successful new paradigm in the IT industry. We can
define cloud computing in … over the cloud which are actively scalable. The dynamic settings of …

… Abstract: The primary benefit of the cloud is that it elastically … various machine learning
algorithms: Support Vector Machine, … Machine, Random Forest and Naïve Bayes respectively …

… Cloud computing allows delivering computing resources by the means of internet. Cloud
has … Various cloud services provide services [26], the cost of which is computed in terms of …

… IoT platform, a cloud service, and a web monitoring software for end-users. Accordingly,
we present a cloud service for data processing (cloud computing), cloud storage for recording …

… Before consumers start using cloud computing services they … In Section 2 we give a brief
summary about the cloud computing … risk factors associated with cloud computing as follows: …

… 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 …

… resource management, and machine learning solutions targeting objectives besides energy
… machine learning has been used by researchers to improve energy efficiency in the cloud. …