Opportunities and challenges of joint edge and Fog orchestration

Comma-di, Luca; Abdullaziz, Osamah Ibrahiem; Antevski, Kiril; Chundrigar, Shahzoob Bilal; Gdowski, Robert; Kuo, Ping-Heng; Mourad, Alain; Yen, Li-Hsing; Zabala, Aitor

doi:10.1109/wcncw.2018.8369006

Cited by 6 publications

(5 citation statements)

References 6 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Cloud, edge, and fog computing paradigms provide different services to users or subscribers, depending on their limitations and capacity [31]. Since subscribers have different demand and service requirements, each paradigm may not have all kinds of services to fulfil all users' needs, because each computing paradigm has its limitations [32]. There is thus a need for a "federation" between different service providers to cope with a users' heterogeneous requirements and increase the capacity, coverage, capability, and fault tolerance of service providers.…”

Section: A Federationmentioning

confidence: 99%

A Survey on Offloading in Federated Cloud-Edge-Fog Systems with Traditional Optimization and Machine Learning

Kar¹,

Yahya²,

Lin³

et al. 2022

Preprint

View full text Add to dashboard Cite

Section: A Federationmentioning

confidence: 99%

A Survey on Offloading in Federated Cloud-Edge-Fog Systems with Traditional Optimization and Machine Learning

Kar¹,

Yahya²,

Lin³

et al. 2022

Preprint

View full text Add to dashboard Cite

“…In spite of the opportunities that the federation of fog nodes enables, a practical implementation of federated fog node in the multi-domain network edge has inherent challenges. For instance, a holistic framework is required to manage the federation of fog node across multiple operating domains [25], [26]. Such as a framework should support the discovery of fog nodes, dynamic management of compute, network and storage resources, ensure compliance with service level agreements and establish trust and security mechanisms in the fog network.…”

Section: A Fog Networkmentioning

confidence: 99%

Disaggregation for Energy Efficient Fog in Future 6G Networks

Ajibola

El-Gorashi

Elmirghani

2022

IEEE Trans. on Green Commun. Netw.

View full text Add to dashboard Cite

We study the benefits of adopting server disaggregation in the fog computing tier by evaluating energy efficient placement of interactive apps in a future (6G) fog network. Using a mixed integer linear programming (MILP) model, we compare the adoption of traditional server (TS) and disaggregated server (DS) architectures in a fog network that comprises selected fog sites. We also propose a heuristic for energy efficient and delay aware placement of interactive fog apps in a fog network which effectively mimics the MILP model formulated in this paper. Compared to a non-federated fog computing layer, federation of selected fog computing sites over the metro-access network enables significant reductions of the total fog computing power consumption (TFPC). Relative to the use of TSs in the fog network, the adoption of DSs improves the energy efficiency of the fog network and enables up to 18% reduction in TFPC. To minimize response time, more instances of interactive fog apps are provisioned in a fog network that is implemented over a network topology with high delay penalty. Our result also shows that the proximity of metro-central offices and radio cell sites to geodistributed users makes them important fog sites for provisioning delay-sensitive fog applications.

show abstract

“…In [26], authors discussed the prospects of a joint edge and fog orchestration to cope with the vast data volume and low latency requirements of 5G and future networks. In this work, the role of such an orchestration platform is analyzed for different diverse 5G scenarios with specific emphasis to IIoT, vehicular communication, multi-access network integration, and localized real-time control.…”

Section: Orchestration Toolsmentioning

confidence: 99%