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This tight coupling prevents their reuse for evaluating cloud migration.
To address this gap, we developed a two-stage approach for evaluating cloud database migration options.
This paper intends to develop some alternative models of network data envelopment analysis (NDEA) for evaluating cloud service businesses.
In this work, we assist with this decision-making process via a tool-supported approach for evaluating cloud database migration options.
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All these standards are generic i.e. not specific to cloud deployments, and while possible to use them for evaluating different cloud solutions, it will require a considerable amount of effort and expert knowledge, which SMBs cannot always afford.
Li et al. [2] propose a taxonomy of performance for evaluating commercial Cloud services and potential approaches to bring a holistic impression of Cloud services performance through a single figure of merit [12].
Dantas et al. [9] described stochastic models for evaluating private cloud architectures, and presented a comparative cost study of public and private cloud providers.
While this approach could be more practical than other generic risk assessment frameworks for evaluating different cloud solutions it is still quite abstract and largely rely on experts' opinions for estimating and evaluating the risks and mitigations.
The benchmarks of PigMix [130], GridMix [131], TeraSort and GraySort [132], TPC-C, TPC-H, TPC-DS [133], and yahoo cloud serving benchmark (YCSB) [134] have been presented for evaluating the performance of the cloud computing and big data analytics systems.
A stochastic approach for evaluating the risk of vapor cloud explosions is proposed in this work.
In [6], the author has discussed ways for evaluating the service quality of Cloud providers based on parameters like response time, availability and elasticity.
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