Computation offloading

Potential title: Towards an intelligent and dynamic computation offloading methodology in the Cloud-to-Edge ecosystem
Summary: Over the last few years, Cloud-to-Edge Computing has emerged as a new paradigm that extends cloud model to address the quintessential need of IoT systems in terms of simultaneous access to heterogeneous local as well as multi-cloud computational resources to achieve high-bandwidth, geographically dispersed processing, ultra-low latency, privacy, etc. However, this new paradigm still faces many challenges in terms of management of resources and computation across the multi-administrative cloud-to-edge resource stack. This project aimed to focus on one such problem called computational offloading — a process of migrating computation from one place to another. The scope of this project can include many related things but the key idea is to develop a policy engine that determines whether to offload or not, when to offload, what to offload and where to offload, and then executing the offloading action.