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For a cloud user, it is important to finish the cloud user's tasks as quickly as possible in cloud computing environments [5].
Earlier, we envisioned that the attributes of a cloud service (or cloud entity) can be used as evidence for a cloud user to make trust judgment on the service (or entity); we discussed the sources of cloud attribute assessment and attribute certification; we also revealed that PKI in practice uses policy-based trust mechanism, which might be used in cloud computing either.
Different from STAR, CSC.com proposed [24] and CSA adopted the CloudTrust Protocol (CTP) [25], a request-response mechanism for a cloud user to obtain specific information about the "elements of transparency" applied to a specific cloud service provider; the elements of transparency cover aspects of configuration, vulnerability, audit log, service management, service statistics, and so forth.
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For example, if a cloud user adds a software to its VM, an existing file system monitoring agent configuration can be updated to additionally monitor this specific path as well.
In the first phase, the CMB reserves a near optimal number of resource instances for every cloud user by a heuristic that arrives at a solution at minimal user cost in polynomial time.
We introduce a model to tackle the resource allocation problem for a group of cloud user requests.
( varvec{KeyGen} )(crs): to input crs, it generates a public key pk and a secret key sk for the cloud user.
We deploy a rapid, seamless handoff process for the mobile cloud user for QoS provisioning.
Using the monitoring information of the distributes agents in combination with the SBF rules a cloud behaviour model is built up for every cloud user.
In the first phase, the Cloud Resource Optimizer (CRO) enumerates an integral number of resource instances 'j' for every cloud user, which if reserved can ensure minimum cost from cloud users' point of view, which has been adapted from [43].
A tag cloud user interface for this kind of view has recently become very popular on the WWW.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com