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AssigneeTata Consultancy Services Limited
InventorsDHEERAJ CHAHAL, SURYA CHAITANYA VENKATA PALEPU, MAYANK MISHRA, REKHA SINGHAL, MANJU RAMESH
Estimating the term…
Heterogeneous cloud storage services offered by different cloud service providers have unique deliverable performance. One key challenge is to find the maximum achievable data transfer rate from one cloud service to another. The disclosure herein generally relates to cloud computing, and, more particularly, to a method and system for parameter tuning in cloud network. The system obtains optimum value of parameters of a source cloud and a destination cloud in a cloud pair, by performing a parameter tuning. The optimum value of parameters and corresponding data transfer rate is used as a training data to generate a data model. The data model processes real-time information with respect to cloud pairs, and predicts corresponding data transfer rate.
A processor implemented method, comprising:
A system, comprising:
One or more non-transitory machine-readable information storage mediums comprising one or more instructions which when executed by one or more hardware processors cause:
Dependencies are inferred from the claim text.