Svorobej, Sergej ORCID: 0000-0001-8900-8700, Bendechache, Malika ORCID: 0000-0003-0069-1860, Griesinger, Frank and Domaschka, Jörg (2020) Orchestration from the cloud to the edge. In: Lynn, Theo ORCID: 0000-0001-9284-7580, Mooney, John G., Lee, Brian and Endo, Patricia Takako ORCID: 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
Abstract
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).
Metadata
Item Type: | Book Section |
---|---|
Refereed: | Yes |
Uncontrolled Keywords: | cloud computing; edge computing; fog computing, orchestration; management; container orchestration; orchestration tools; orchestration standards; orchestration challenges; orchestration architectures |
Subjects: | Computer Science > Computer simulation Computer Science > Information technology |
DCU Faculties and Centres: | DCU Faculties and Schools > Faculty of Engineering and Computing > School of Computing Research Institutes and Centres > Lero: The Irish Software Engineering Research Centre Research Institutes and Centres > ADAPT |
Publisher: | Palgrave Macmillan |
Official URL: | http://dx.doi.org/10.1007/978-3-030-41110-7 |
Copyright Information: | © 2020 The Editors and The Authors. Open Access |
ID Code: | 24835 |
Deposited On: | 21 Jul 2020 11:21 by Malika Bendechache . Last Modified 26 Nov 2020 17:13 |
Documents
Full text available as:
Preview |
PDF
- Requires a PDF viewer such as GSview, Xpdf or Adobe Acrobat Reader
162kB |
Downloads
Downloads
Downloads per month over past year
Archive Staff Only: edit this record