ICN-based edge service deployment in challenged networks

Sarros, Christos-Alexandros; Lertsinsrubtavee, Adisorn; Molina-Jiménez, Carlos; Prasopoulos, Konstantinos; Diamantopoulos, Sotiris; Vardalis, Dimitris; Sathiaseelan, Arjuna

doi:10.1145/3125719.3132096

Cited by 11 publications

(4 citation statements)

References 3 publications

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“…8) Enabler for practical ICN deployments at the edge: MEC provides a flexible service environment at the edge networks. In that setting, a phased implementation of ICN segments serving different use-cases and thus realizing the benefits of ICN paradigm is possible [65]. This practical aspect is particularly important to exploit benefits of ICN and thus promote its integration in future B5G wireless networks.…”

Section: Mutual Benefits Of Icn and Mec Integrationmentioning

confidence: 99%

Integration of ICN and MEC in 5G and Beyond Networks: Mutual Benefits, Use Cases, Challenges, Standardization, and Future Research

Gûr

Kalla

Alwis

et al. 2022

IEEE Open J. Commun. Soc.

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Multi-access Edge Computing (MEC) is a novel edge computing paradigm that moves cloud-based processing and storage capabilities closer to the mobile users by implementing server resources in the access nodes. MEC helps fulfill the stringent requirements of 5G and beyond networks to offer anytime-anywhere connectivity for many devices with ultra-low delay and huge bandwidths. Information-Centric Networking (ICN) is another prominent network technology that builds on a content-centric network architecture to overcome host-centric routing/operation shortcomings and to realize efficient pervasive and ubiquitous networking. It is envisaged to be employed in Future Internet including Beyond 5G (B5G) networks. The consolidation of ICN with MEC technology offers new opportunities to realize that vision and serve advanced use cases. However, various integration challenges are yet to be addressed to enable the wide-scale co-deployment of ICN with MEC in future networks. In this paper, we discuss and elaborate on ICN MEC integration to provide a comprehensive survey with a forwardlooking perspective for Beyond 5G networks. In that regard, we deduce lessons learned from related works (for both 5G and Beyond 5G networks). We present ongoing standardization activities to highlight practical implications of such efforts. Moreover, we render key B5G use cases and highlight the role for ICN MEC integration for addressing their requirements. Finally, we layout research challenges and identify potential research

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Section: Mutual Benefits Of Icn and Mec Integrationmentioning

confidence: 99%

Integration of ICN and MEC in 5G and Beyond Networks: Mutual Benefits, Use Cases, Challenges, Standardization, and Future Research

Gûr

Kalla

Alwis

et al. 2022

IEEE Open J. Commun. Soc.

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“…This new DTN face communicates with an underlying DTN implementation that handles intermittence by encapsulating Interest and Data packets into a DTN bundle. The details of implementation and evaluation can be found in [18]. We integrate the NFD forwarding plane to PiCasso architecture through a Python wrapper of NDN APIs, called PyNDN 7 .…”

Section: Architecture Of Picassomentioning

confidence: 99%

PiCasso: Enabling information-centric multi-tenancy at the edge of community mesh networks

et al. 2019

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Edge computing is radically shaping the way Internet services are run by enabling computations to be available close to the users -thus mitigating the latency and performance challenges faced in today's Internet infrastructure. Emerging markets, rural and remote communities are further away from the cloud and edge computing has indeed become an essential panacea. Many solutions have been recently proposed to facilitate efficient service delivery in edge data centers. However, we argue that those solutions cannot fully support the operations in Community Mesh Networks (CMNs) since the network connection may be less reliable and exhibit variable performance. In this paper, we propose to leverage lightweight virtualisation, Information-Centric Networking (ICN), and service deployment algorithms to overcome these limitations. The proposal is implemented in the PiCasso system, which utilises innetwork caching and name based routing of ICN, combined with our HANET (HArdware and NETwork Resources) service deployment heuristic, to optimise the forwarding path of service delivery in a network zone. We analyse the data collected from the Guifi.net Sants network zone, to develop a smart heuristic for the service deployment in that zone. Through a real deployment in Guifi.net, we show that HANET improves the response time up to 53% and 28.7% for stateless and stateful services respectively. PiCasso achieves 43% traffic reduction on service delivery in our real deployment, compared to the traditional host-centric communication. The overall effect of our ICN platform is that most content and service delivery requests can be satisfied very close to the client device, many times just one hop away, decoupling QoS from intra-network traffic and origin server load.

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“…NDN enables bringing reputation directly on top of the network layer, possibly utilizing cross-layer information, a direction which has not yet been explored. An extension of this direction could be further explored for Service-Centric Networking approaches [44][45][46], the reputation being based on service quality, availability and other metrics.…”

Section: Future Directions In Ndnmentioning

confidence: 99%

Reputation-Based Trust Approaches in Named Data Networking

2019

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Information-Centric Networking (ICN) has arisen as an architectural solution that responds to the needs of today’s overloaded Internet, departing from the traditional host-centric access paradigm. In this paper we focus on Named Data Networking (NDN), the most prominent ICN architecture. In the NDN framework, disseminated content is at the core of the design and providing trusted content is essential. In this paper, we provide an overview of reputation-based trust approaches, present their design trade-offs and argue that these approaches can consolidate NDN trust and security by working complementary to the existing credential-based schemes. Finally, we discuss future research directions and challenges.

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ICN-based edge service deployment in challenged networks

Cited by 11 publications

References 3 publications

Integration of ICN and MEC in 5G and Beyond Networks: Mutual Benefits, Use Cases, Challenges, Standardization, and Future Research

Integration of ICN and MEC in 5G and Beyond Networks: Mutual Benefits, Use Cases, Challenges, Standardization, and Future Research

PiCasso: Enabling information-centric multi-tenancy at the edge of community mesh networks

Reputation-Based Trust Approaches in Named Data Networking

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