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These data shards are then stored in different computer nodes in the cloud computing environment based on the principle of load balancing.
The trusted computing environment was proposed in [34], which involves the trusted computing module in the cloud computing environment.
In the cloud computing environment, the privacy of the electronic data is a serious issue that requires special considerations.
According to Workload section, there are three workload patterns in the cloud computing environment: periodic, growing, and unpredictable.
In the cloud computing environment there are the policies, and there is the need to be sure they are being applied appropriately.
This paper proposes an autonomic prediction suite to improve the prediction accuracy of the auto-scaling system in the cloud computing environment.
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To address all of these issues, there is a need for a privacy-preserving model (PPM) that can provide a mechanism to authenticate all cloud stakeholders (i.e., CSP, TPA and CU) in order to safeguard the cloud computing environment.
In the cloud computing environments, numerous ambient services may be created speedily and provided to a variety of users.
Hypothesis 1c: Increasing the window sizes does not have a positive effect on the performance of the structural risk minimization principle in the cloud computing environments.
According to [4, 7, 8], there are five workload patterns in the cloud computing environments: Static workload is characterized by a constant number of requests per minute.
In this study, we have proposed and developed an Adaptively Emerging Mechanism (AEM) to reduce the burden of services selection in the cloud computing environments, and thus decrease the cost of service provision and increase the user satisfaction as well.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com