Orchestration in the Cloud-to-Things Compute Continuum: Taxonomy, Survey and Future Directions
Amjad Ullah, Tamas Kiss, J\'ozsef Kov\'acs, Francesco Tusa, James, Deslauriers, Huseyin Dagdeviren, Resmi Arjun, Hamed Hamzeh

TL;DR
This paper surveys orchestration in the Cloud-to-Things continuum, proposing a taxonomy, reviewing existing research, and discussing future challenges for deploying and managing distributed IoT applications across diverse resources.
Contribution
It introduces a comprehensive taxonomy for Cloud-to-Things orchestration and critically reviews current research, highlighting key challenges and proposing future directions.
Findings
Developed a detailed taxonomy for orchestration in Cloud-to-Things systems.
Reviewed existing research and identified gaps and challenges.
Presented a conceptual framework for future orchestration solutions.
Abstract
IoT systems are becoming an essential part of our environment. Smart cities, smart manufacturing, augmented reality, and self-driving cars are just some examples of the wide range of domains, where the applicability of such systems has been increasing rapidly. These IoT use cases often require simultaneous access to geographically distributed arrays of sensors, and heterogeneous remote, local as well as multi-cloud computational resources. This gives birth to the extended Cloud-to-Things computing paradigm. The emergence of this new paradigm raised the quintessential need to extend the orchestration requirements i.e., the automated deployment and run-time management) of applications from the centralised cloud-only environment to the entire spectrum of resources in the Cloud-to-Things continuum. In order to cope with this requirement, in the last few years, there has been a lot of…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsIoT and Edge/Fog Computing · Cloud Computing and Resource Management · Blockchain Technology Applications and Security
