Challenges for orchestration and instance selection of composite services in distributed edge clouds
Open accessAbstract
Today's centralized cloud-computing infrastructures have not been designed with geo-localized, personalized, bandwidth/processing-intensive, real-time applications in mind. High network delay and low throughput can have a significant impact on the user experience. Instead, such services could be deployed in distributed service nodes at the edge of the network, closer to the user. In this paper we focus on composite services of which the components are running in different service nodes. We present a two-layer framework that provides service orchestration and instance selection. We present the orchestration mechanisms to enable the flexible re-use of components across different composite services. For the resolution layer of our framework, we present two modes of operation that combine network and service availability information for efficient per-request instance selection among a multitude of service replicas.
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Overloading edge computational resources is inconsistent with a guaranteed Quality of Experience, especially for mobile users.
“Especially for mobile users, overloading edge computational resources is inconsistent with a guaranteed QoE [127,218].”
From Edge AI: A survey (2023) · cites this paper as [218]
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Singh, R., & Gill, S. S. (2023) · Internet of Things and Cyber-Physical Systems · doi:10.1016/j.iotcps.2023.02.004 · Cited by 572 · see citing works
- Authors
- Simoens, P., Van Herzeele, L., Vandeputte, F., & Vermoesen, L.
- Affiliations
- Ghent University (BE)
- Royal Library of Belgium (BE)
- Venue
- 2015 IFIP/IEEE International Symposium on Integrated Network Management (IM)
- Publisher
- IEEE
- Published
- 2015-05
- OpenAlex
- W1483039810
- Cited by
- 15
- References
- 0
- Citations by year
- 2024: 3 · 2023: 1 · 2020: 4 · 2018: 3 · 2017: 2 · 2016: 2
- FWCI
- 1.74
- Type
- conference paper
- Language
- en
- Open access
- green
- biblio.ugent.be
- Licence
- other-oa
- Locations
- IFIP/IEEE International Symposium on Integrated Network Management (IM) (publishedVersion)
- Ghent University Academic Bibliography (Ghent University) (submittedVersion, other-oa)
- Topics
- Physical Sciences › Computer Science › Computer Networks and Communications › IoT and Edge/Fog Computing
- Physical Sciences › Computer Science › Information Systems › Cloud Computing and Resource Management
- Physical Sciences › Computer Science › Information Systems › Service-Oriented Architecture and Web Services
- Keywords
- service orchestration, instance selection, composite services, edge computing, component reuse, network latency, service availability
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