Svorobej, SergejORCID: 0000-0001-8900-8700, Bendechache, MalikaORCID: 0000-0003-0069-1860, Griesinger, Frank and Domaschka, Jörg
(2020)
Orchestration from the cloud to the edge.
In: Lynn, TheoORCID: 0000-0001-9284-7580, Mooney, John G., Lee, Brian and Endo, Patricia TakakoORCID: 0000-0002-9163-5583, (eds.)
The Cloud-to-Thing Continuum.
Palgrave Studies in Digital Business & Enabling Technologies
.
Palgrave Macmillan, London, UK, pp. 61-77.
ISBN 978-3-030-41110-7
The effective management of complex and heterogeneous computing environments is one of the biggest challenges that service and infrastructure providers are facing in the Cloud-to-Thing continuum era. Advanced orchestration systems are required to support the resource management of large-scale cloud data centres integrated into big data generation of IoT devices. The orchestration system should be aware of all available resources and their current status in order to perform dynamic allocations and enable short time deployment of applications. This chapter will review the state of the art with regards to orchestration along the Cloud-to-Thing continuum with a specific emphasis on container-based orchestration (e.g. Docker Swarm and Kubernetes) and fog-specific orchestration architectures (e.g. SORTS, SOAFI, ETSI IGS MEC, and CONCERT).