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A deep reinforcement learning-based algorithm for reliability-aware multi-domain service deployment in smart ecosystems

Author
Kibalya, G.; Serrat, J.; Gorricho, J.L.; Okello, Dorothy; Zhang, Peiying
Type of activity
Journal article
Journal
Neural computing and applications
Date of publication
2020-10-05
DOI
10.1007/s00521-020-05372-x
Project funding
Dynamic provisioning of connectivity in high density 5G wireless scenarios
NOVEL ENABLERS FOR CLOUD SLICING
Repository
http://hdl.handle.net/2117/330941 Open in new window
URL
https://link.springer.com/article/10.1007/s00521-020-05372-x Open in new window
Abstract
The final publication is available at Springer via http://dx.doi.org/10.1007/s00521-020-05372-x The transition towards full network virtualization will see services for smart ecosystems including smart metering, healthcare and transportation among others, being deployed as Service Function Chains (SFCs) comprised of an ordered set of virtual network functions. However, since such services are usually deployed in remote cloud networks, the SFCs may transcend multiple domains belonging to differen...
Citation
Kibalya, G. [et al.]. A deep reinforcement learning-based algorithm for reliability-aware multi-domain service deployment in smart ecosystems. "Neural computing and applications", 5 Octubre 2020,
Keywords
Multi-attribute embedding, Multi-domain orchestration, QoS embedding, Service function chaining, Service reliability
Group of research
MAPS - Management, Pricing and Services in Next Generation Networks

Participants