Abstract
Network Slicing has emerged as a keystone for supporting multiple service verticals over shared 5G network infrastructure. It leverages virtualization techniques to allocate programmable network instances matching service requirements. This requires novel resource allocation mechanisms, as well as new admission control and load balancing policies, to satisfy the diverse quality of service (QoS) requirements of different services, while optimizing the resource utilization across slices. This in turn requires accurate determination of loading on a slice, which not only depends on the type of application, but also on the stringency of QoS requirements, and hence existing metrics such as resource utilization may be inadequate. We introduce a novel load metric that can be used across slices, and illustrate how it can be used for load balancing, slice capacity resizing, and admission control in the proposed cross-slice resource orchestration framework.
Original language | English |
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Title of host publication | Proceedings - 2023 IEEE 43rd International Conference on Distributed Computing Systems, ICDCS 2023 |
Publisher | Institute of Electrical and Electronics Engineers Inc. |
Pages | 1049-1050 |
Number of pages | 2 |
ISBN (Electronic) | 9798350339864 |
DOIs | |
Publication status | Published - 2023 |
Event | 43rd IEEE International Conference on Distributed Computing Systems, ICDCS 2023 - Hong Kong, China Duration: 2023 Jul 18 → 2023 Jul 21 |
Publication series
Name | Proceedings - International Conference on Distributed Computing Systems |
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Volume | 2023-July |
Conference
Conference | 43rd IEEE International Conference on Distributed Computing Systems, ICDCS 2023 |
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Country/Territory | China |
City | Hong Kong |
Period | 23/7/18 → 23/7/21 |
Bibliographical note
Publisher Copyright:© 2023 IEEE.
Keywords
- 5G
- Admission Control
- Load Balancing
- Load Monitoring
- Network Slicing
- QoS
- SLA
ASJC Scopus subject areas
- Software
- Hardware and Architecture
- Computer Networks and Communications