StateProc: Empowering Network Functions with Enhanced Processing Capabilities in Edge Clouds

Research output: Contribution to book/Conference proceedings/Anthology/ReportConference contributionContributedpeer-review

Abstract

Edge clouds embrace Network Function Virtualization (NFV) to bring network functions (NFs) closer to end devices. The mobility nature of edge clouds and the emergence of new use cases, such as robot control or metaverse, demand NFs with high resilience. However, numerous NFs like firewalls require stateful processing that depends on historical processing values, referred to as NF states. Consequently, supporting stateful NFs with high resilience necessitates the maintenance of their states, often resulting in significant modification of the NFs. While providing high resilience for NFs, maintaining their processing performance is a critical challenge for existing solutions. Our proposed framework, StateProc, eliminates this concern by enhancing the processing capabilities of NFs through the utilization of NF states for custom processing. Through custom processing for state transfer, the evaluation results show that StateProc significantly improves the state transfer time, up to 93% faster than a notable state-of-the-art framework, without additional processing overhead.

Details

Original languageEnglish
Title of host publication2024 International Symposium on Networks, Computers and Communications, ISNCC 2024
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Number of pages6
ISBN (electronic)979-8-3503-6491-0
Publication statusPublished - 2024
Peer-reviewedYes

Conference

Title2024 International Symposium on Networks, Computers and Communications
Abbreviated titleISNCC 2024
Duration22 - 25 October 2024
Website
LocationUniversity of the District of Columbia & Online
CityWashington, D.C.
CountryUnited States of America

External IDs

ORCID /0000-0001-8469-9573/work/184003912
ORCID /0000-0001-7008-1537/work/184005063

Keywords

Keywords

  • Edge Computing, Flexibility, Low-latency, Network Function Virtualization, State Management