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In light of the above discussion, we propose the notion of a Consumer centric Resource Accounting Model for a cloud resource.
This is an important feature of cloud computing, which offers users the ability to acquire resources by paying a fixed price per unit time for a cloud resource.
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As stated in the introduction, our methodology for constructing a middleware API for cloud resource management centers around the decreasing overhead when compared to general-purpose solutions.
Hence, applying prediction models for current cloud resource management is a must.
The middleware includes a multi-agent system for automatic Cloud resource management.
Moreover we proposed a pattern for describing the Cloud resource and the Cloud application that is compatible with current emerging standards, as proved by the proof-of-concept editor for application and resource description, shortly described in this paper.
The "Open Cloud Standards Incubator" will work to develop a set of informational specifications for cloud resource management.
While cloud resource usage varies widely time to time and server to server, determining the best time-series model for predicting cloud resource usage depend not only on time but the cloud resource usage trend.
The VBP is responsible for the cloud resource control and distributes resources over multiple SBSs.
None of these brokers for Multi-Cloud are exposing their internal interfaces for the Cloud resource acquisition.
For constructing Cloud resource runtime models, we just need to define the architecture-based meta-models and the Access Models on the Eclipse Modeling Framework (EMF) [26].
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com