Towards fog-based slice-defined WLAN infrastructures to cope with future 5G use cases

Carmo, Maxweel; Jardim, Sandino; Neto, Augusto; Aguiar, Rui L.; Corujo, Daniel

doi:10.1109/nca.2017.8171397

Cited by 5 publications

(3 citation statements)

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“…The first mentions of edge-cloud continuum (ECC) appeared in 2017 [8], including under the names cloud continuum [9] and Device-Fog-Cloud continuum [19]. Since then, the term and its variations had appeared in hundreds of papers.…”

Section: Existing Views On Edge-cloud Continuummentioning

confidence: 99%

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Towards Characterization of Edge-Cloud Continuum

Khalyeyev

Bureš

Hnětynka

2023

Lecture Notes in Computer Science

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Internet of Things and cloud computing are two technological paradigms that reached widespread adoption in recent years. These paradigms are complementary: IoT applications often rely on the computational resources of the cloud to process the data generated by IoT devices. The highly distributed nature of IoT applications and the giant amounts of data involved led to significant parts of computation being moved from the centralized cloud to the edge of the network. This gave rise to new hybrid paradigms, such as edge-cloud computing and fog computing. Recent advances in IoT hardware, combined with the continued increase in complexity and variability of the edge-cloud environment, led to an emergence of a new vision of edge-cloud continuum: the next step of integration between the IoT and the cloud, where software components can seamlessly move between the levels of computational hierarchy. However, as this concept is very new, there is still no established view of what exactly it entails. Several views on the future edge-cloud continuum have been proposed, each with its own set of requirements and expected characteristics. In order to move the discussion of this concept forward, these views need to be put into a coherent picture. In this paper, we provide a review and generalization of the existing literature on edge-cloud continuum, point out its expected features, and discuss the challenges that need to be addressed in order to bring about this envisioned environment for the next generation of smart distributed applications.

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Section: Existing Views On Edge-cloud Continuummentioning

confidence: 99%

“…Edge-cloud is often discussed in the context of 5G [8] and the coming 6G technologies [24]. These technologies can provide much higher network throughput, but the area served by one base transceiver station is smaller than in the previous cellular networks [2].…”

Section: Main Elements Of the Edge-cloud Continuummentioning

confidence: 99%

Towards Characterization of Edge-Cloud Continuum

Khalyeyev

Bureš

Hnětynka

2023

Lecture Notes in Computer Science

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“…The efficient sharing of client network resources covered by [21], creates network layers configured using SDN and VNF deployed on low-cost common network devices (EX: Raspberry) to approximate wireless and custom services of mobile devices and sensors . As a result, the average cloud delay was approximately 133 ms, versus 12 and 5.3 ms for single board and PC computers, respectively.…”

Section: A Related Work To Architecture In Qos Contextmentioning

confidence: 99%

A Fog Computing Architecture for Security and Quality of Service

Barreto¹,

de²,

Ribeiro

2019

Annals of Computer Science and Information Systems

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The Fog Computing paradigm is an emerging architecture and focuses on optimizing resources for the Internet of Things environment, bringing to the Edge, Cloud's characteristics. The demand generated by the number of possible devices in this network attracts problems related to quality of service, security, among others, attracting researchers from the most diverse areas. In our work, in addition to performing a study on selected works in a mapping process, detecting trends in the use of Fog architectures. The main contribution is presented by a security-based Fog Computing architecture using QoS for scalable environments with Docker containers for orchestration and deployment of security with SDN.

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