Data Upload in Mobile Edge Computing over ICN

Scherb, Christopher; Emde, Samuel; Marxer, Claudio; Tschudin, Christian

doi:10.1109/gcwkshps45667.2019.9024397

Cited by 5 publications

(3 citation statements)

References 12 publications

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“…As a result, TCN forwarding nodes turn into data repositories. Such feature might be useful in time-sensitive use case scenarios such as connected vehicles [26]. For example, proactively storing data at edge nodes, e.g., traffic information about a hazardous situation ahead, improves data dissemination in mobile scenarios.…”

Section: B Tcn -Intelligent Cache Managementmentioning

confidence: 99%

Tangle Centric Networking (TCN)

Scherb,

Grewe,

Tschudin

2021

Preprint

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Today's Internet is heavily used for multimedia streaming from cloud backends, while the Internet of Things (IoT) reverses the traditional data flow, with high data volumes produced at the network edge. Information Centric Networking (ICN) advocates against a host-centric communication model which is promising for distributed edge computing environments and the execution of IoT applications in a decentralized fashion. By using naming schemes, data is tightly coupled to names instead of hosts which simplifies discovery and access to data and services. However, the tight coupling challenges network performance due to additional synchronization overhead of large data volumes and services.We present Tangle Centric Networking (TCN) -a decentralized data structure for coordinated distributed applications and data exchange following principles of ICN. TCN can react on data and service changes and update them accordingly in network nodes, provide distributed data structures and enable cooperative work on the same data without huge overhead by using Tangles for coordination. We implemented TCN in simulations and evaluated the concept against a base line scenario.

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Section: B Tcn -Intelligent Cache Managementmentioning

confidence: 99%

Tangle Centric Networking (TCN)

Scherb,

Grewe,

Tschudin

2021

Preprint

Self Cite

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“…Although NDN's connectionless nature facilitates seamless data delivery to mobile users, handling data upload and computation offloading from highly mobile users is still challenging [13]. Thus, mechanisms needed for relocating the mobile user's ongoing service execution across edge servers-service migration-to minimize relocation time and interruptions; an area that has not been explored in NDN.…”

Section: Service Migration To Handle Mobilitymentioning

confidence: 99%

“…1) Result Migration: is possible when the service execution in the source edge server is completed by the time the mobile user connects to the destination edge server. The authors in [13] proposed a result migration mechanism, which results in low communication and computation overhead.…”

Section: Service Migration To Handle Mobilitymentioning

confidence: 99%

Democratizing the Edge: A Pervasive Edge Computing Framework

Tourani,

Srikanteswara,

Misra

et al. 2020

Preprint

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The needs of emerging applications, such as augmented and virtual reality, federated machine learning, and autonomous driving, have motivated edge computing-the push of computation capabilities to the edge. Various edge computing architectures have emerged, including multi-access edge computing and edge-cloud, all with the premise of reducing communication latency and augmenting privacy. However, these architectures rely on static and pre-deployed infrastructure, falling short in harnessing the abundant resources at the network's edge.In this paper, we discuss the design of Pervasive Edge Computing (PEC)-a democratized edge computing framework, which enables end-user devices (e.g., smartphones, IoT devices, and vehicles) to dynamically participate in a large-scale computing ecosystem. Our vision of the democratized edge involves the realtime composition of services using available edge resources like data, software, and compute-hardware from multiple stakeholders. We discuss how the novel Named-Data Networking architecture can facilitate service deployment, discovery, invocation, and migration. We also discuss the economic models critical to the adoption of PEC and the outstanding challenges for its full realization.

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A survey on interest packet flooding attacks and its countermeasures in named data networking

Rabari

Kumar

2022

Int. J. Inf. Secur.

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Data Upload in Mobile Edge Computing over ICN

Cited by 5 publications

References 12 publications

Tangle Centric Networking (TCN)

Tangle Centric Networking (TCN)

Democratizing the Edge: A Pervasive Edge Computing Framework

A survey on interest packet flooding attacks and its countermeasures in named data networking

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