Smart System for Multi-Cloud Pathways
Indervir Singh Banipal, Shubhi Asthana
Big Data 2022
Organizations nowadays tend to use multiple cloud providers when migrating their applications to the cloud. While this approach has its advantages, it is challenging to come up with a multi-cloud solution. One, it takes considerable time and resources to gather all the features of the applications. Second, there is no analytical automated way of efficiently recommending a multi-cloud solution. To overcome these drawbacks, we propose a novel methodology that performs text mining on application data to evaluate cloud-migration feasibility and then recommend multicloud solution for the client using an optimization model. We illustrate our approach with an example use case.
Indervir Singh Banipal, Shubhi Asthana
Big Data 2022
Jonathan Sun
Journal of Applied Physics
Claudia Misale, Daniel Milroy
KubeCon + CloudNativeCon EU 2022
Robert Tracey, Ngoc Lan Hoang, et al.
ISC 2020