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Orchestration from the cloud to the edge

Svorobej, Sergej orcid logoORCID: 0000-0001-8900-8700, Bendechache, Malika orcid logoORCID: 0000-0003-0069-1860, Griesinger, Frank and Domaschka, Jörg (2020) Orchestration from the cloud to the edge. In: Lynn, Theo orcid logoORCID: 0000-0001-9284-7580, Mooney, John G., Lee, Brian and Endo, Patricia Takako orcid logoORCID: 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).
Item Type:Book Section
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

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