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Resilience Enhancement at Edge Cloud Systems

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Resilience Enhancement at Edge Cloud Systems. / Moura, J.; Hutchison, D.
In: IEEE Access, Vol. 10, 08.04.2022, p. 45190-45206.

Research output: Contribution to Journal/MagazineJournal articlepeer-review

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Moura J, Hutchison D. Resilience Enhancement at Edge Cloud Systems. IEEE Access. 2022 Apr 8;10:45190-45206. doi: 10.1109/ACCESS.2022.3165744

Author

Moura, J. ; Hutchison, D. / Resilience Enhancement at Edge Cloud Systems. In: IEEE Access. 2022 ; Vol. 10. pp. 45190-45206.

Bibtex

@article{63441ea23b9848ed995ac5bda5ddeb6d,
title = "Resilience Enhancement at Edge Cloud Systems",
abstract = "It is becoming common practice to push interactive and location-based services from remote datacenters to resource-constrained edge domains. This trend creates new management challenges at the network edge, not least to ensure resilience. These challenges now need to be investigated and overcome. In this paper, we explore the use of open-source programmable asset orchestration at edge cloud systems to guarantee operational resilience and a satisfactory performance level despite system incidents such as faults, congestion, or cyber-attacks. We discuss the design and deployment of a new cross-level configurable solution, Resilient Edge Cloud Systems (RECS). Results from appropriate tests made on RECS highlight the positive effects of deploying novel service and resource management algorithms at both data and control planes of the programmable edge system to mitigate against disruptive events such as control channel issues, service overload, or link congestion. Thus, RECS offers namely the following benefits: i) the switch automatically selects the standalone operation mode after its disconnection from the upper-level controllers; ii) deployment of edge virtualized services is made, according to client requests; iii) the client requests are served by edge services and the related traffic is balanced among the alternative on-demand routing paths to the edge location where each service is available for its clients; iv) the TCP traffic quality is protected from unfair competitiveness of UDP flows; and v) a set of redundant controllers is orchestrated by a top-level multi-thread cluster manager, using a novel management protocol with low overhead. ",
author = "J. Moura and D. Hutchison",
year = "2022",
month = apr,
day = "8",
doi = "10.1109/ACCESS.2022.3165744",
language = "English",
volume = "10",
pages = "45190--45206",
journal = "IEEE Access",
issn = "2169-3536",
publisher = "Institute of Electrical and Electronics Engineers Inc.",

}

RIS

TY - JOUR

T1 - Resilience Enhancement at Edge Cloud Systems

AU - Moura, J.

AU - Hutchison, D.

PY - 2022/4/8

Y1 - 2022/4/8

N2 - It is becoming common practice to push interactive and location-based services from remote datacenters to resource-constrained edge domains. This trend creates new management challenges at the network edge, not least to ensure resilience. These challenges now need to be investigated and overcome. In this paper, we explore the use of open-source programmable asset orchestration at edge cloud systems to guarantee operational resilience and a satisfactory performance level despite system incidents such as faults, congestion, or cyber-attacks. We discuss the design and deployment of a new cross-level configurable solution, Resilient Edge Cloud Systems (RECS). Results from appropriate tests made on RECS highlight the positive effects of deploying novel service and resource management algorithms at both data and control planes of the programmable edge system to mitigate against disruptive events such as control channel issues, service overload, or link congestion. Thus, RECS offers namely the following benefits: i) the switch automatically selects the standalone operation mode after its disconnection from the upper-level controllers; ii) deployment of edge virtualized services is made, according to client requests; iii) the client requests are served by edge services and the related traffic is balanced among the alternative on-demand routing paths to the edge location where each service is available for its clients; iv) the TCP traffic quality is protected from unfair competitiveness of UDP flows; and v) a set of redundant controllers is orchestrated by a top-level multi-thread cluster manager, using a novel management protocol with low overhead.

AB - It is becoming common practice to push interactive and location-based services from remote datacenters to resource-constrained edge domains. This trend creates new management challenges at the network edge, not least to ensure resilience. These challenges now need to be investigated and overcome. In this paper, we explore the use of open-source programmable asset orchestration at edge cloud systems to guarantee operational resilience and a satisfactory performance level despite system incidents such as faults, congestion, or cyber-attacks. We discuss the design and deployment of a new cross-level configurable solution, Resilient Edge Cloud Systems (RECS). Results from appropriate tests made on RECS highlight the positive effects of deploying novel service and resource management algorithms at both data and control planes of the programmable edge system to mitigate against disruptive events such as control channel issues, service overload, or link congestion. Thus, RECS offers namely the following benefits: i) the switch automatically selects the standalone operation mode after its disconnection from the upper-level controllers; ii) deployment of edge virtualized services is made, according to client requests; iii) the client requests are served by edge services and the related traffic is balanced among the alternative on-demand routing paths to the edge location where each service is available for its clients; iv) the TCP traffic quality is protected from unfair competitiveness of UDP flows; and v) a set of redundant controllers is orchestrated by a top-level multi-thread cluster manager, using a novel management protocol with low overhead.

U2 - 10.1109/ACCESS.2022.3165744

DO - 10.1109/ACCESS.2022.3165744

M3 - Journal article

VL - 10

SP - 45190

EP - 45206

JO - IEEE Access

JF - IEEE Access

SN - 2169-3536

ER -