Compute and Services (CAS) optimized strategy for multi hybrid cloud deployment
||International Journal of Computer & Organization Trends (IJCOT)||
|© 2020 by IJCOT Journal|
|Volume - 10 Issue - 3
|Year of Publication : 2020|
|Authors : : Pijush Biswas, Kailash Verma|
|DOI : 10.14445/22492593/IJCOT-V10I3P301|
MLA Style:Pijush Biswas, Kailash Verma "Compute and Services (CAS) optimized strategy for multi hybrid cloud deployment" International Journal of Computer and Organization Trends 10.3 (2020): 1-3.
APA Style:Pijush Biswas, Kailash Verma(2020). Compute and Services (CAS) optimized strategy for multi hybrid cloud deployment. International Journal of Computer and Organization Trends, 10(3), 1-3.
While doing application migration from a source environment, there are infrastructure & application services parts that should move to a destination environment. Based on the affinity, each part of infrastructure and application services need to go either in target environment, or they remain in source environment. The target and source mapping are not always 1-1 mapping in real use cases. The source component may be an infra component and, but the target component may be PaaS component in a cloud environment. So, there is a need to put a system and methods to map components and services to build the ecosystem and develop a machine learning model from experience.
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 Azure: https://azure.microsoft.com/en-in/
 AWS: https://aws.amazon.com/
 GCP: https://cloud.google.com/
 OpenShift: https://www.openshift.com/ IBM Cloud: https://www.ibm.com/in-en/cloud
Cloud Migration, Multi-Cloud Deployment, Self-Contained model, Public Cloud