Home Edge Computing (HEC): Design of a New Edge Computing Technology for Achieving Ultra-Low Latency

Babou, Cheikh Saliou Mbacke; Fall, Doudou; Kashihara, Shigeru; Niang, Ibrahima; Kadobayashi, Youki

doi:10.1007/978-3-319-94340-4_1

Cited by 31 publications

(17 citation statements)

References 11 publications

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“…This experiment was enabled by an Edge Computing solution and the target was the reduction of the latency of sending the messages between the vehicles [14]. Furthermore, in [19], authors present concepts of Edge Computing systems, like Cloudlet, Fog Computing, and Multi-access Edge Computing, the advantages, and limitations of these concepts and the reason why the improvement of Edge Computing concepts is essential. Furthermore, they propose a novel Edge Computing architecture, the Home Edge Computing that includes three layers, the Home Server, the Edge Computing and the central Cloud.…”

Section: Related Workmentioning

confidence: 99%

An Architecture for Blockchain over Edge-enabled IoT for Smart Circular Cities

Damianou

Angelopoulos

Katos

2019

2019 15th International Conference on Distributed Computing in Sensor Systems (DCOSS)

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Circular Economy is a novel economic model, where every 'asset' is not wasted but reused and upscaled. The Internet of Things-IoT paradigm can underpin the transition to a Circular Economy by enabling fine-grained and continuous asset tracking. However, there are issues related to security and privacy of IoT devices that generate and handle sensitive and personal data. The use of Blockchain technology provides an answer to this issue, however, its application raises issues related to the highly-constrained nature of these networks. In this paper, Edge Computing is presented as a solution to this issue, providing a way in which Blockchain and Edge Computing can be used together to address the constrained nature of IoT. Furthermore, we present the challenges that this combination poses and the opportunities that it brings. We propose an architecture that decreases the IoT devices requirements for memory capacity and increases the overall performance. We also discuss the architecture design and the challenges that it has, comparing it to the traditional Blockchain architecture as well as an Edge Computing architecture for Mobile Blockchain. The paper closes with a discussion and future extensions of our work are presented, as well.

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Section: Related Workmentioning

confidence: 99%

An Architecture for Blockchain over Edge-enabled IoT for Smart Circular Cities

Damianou

Angelopoulos

Katos

2019

2019 15th International Conference on Distributed Computing in Sensor Systems (DCOSS)

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“…Diferente do anterior que tem como foco o ambiente Fog, com seus nos, comutadores e links; esse trata de serviços que podem ser desenvolvidos na borda da rede. Logo, o uso desse framework deve ser considerado para modelar e simular serviços móveis que sejam necessários transferir tarefas para a Edge Computing [6] [19].…”

Section: A Grupo Infraunclassified

Edge Computing: Um Estudo sobre Ferramentas de Simulação e suas Características

Famá¹,

Santos²,

Perkusich³

2018

Anais De XXXVI Simpósio Brasileiro De Telecomunicações E Processamento De Sinais

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Resumo-Edge Computing (EC)é um paradigma tecnológico que surgiu com o intuito de suprir a necessidade de aplicações por baixa latência. Apesar dos avanços obtidos com o processamento de dados distribuído da computação em nuvem e móvel, requisitos de latência e disponibilidade levaram a necessidade de processamento próximo as entidades finais na borda da rede, através do EC. Neste artigoé apresentada uma visão geral sobre EC e o seu impacto sobre a Internet das Coisas. Como principal contribuição, este artigo apresenta uma classificação de ferramentas de simulação para EC, permitindo que novos serviços possam ser validados em ambientes simulados.

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“…Consequently, the problems of resource management and delay for these applications are becoming more and more recurrent. In addition, on Edge Computing architecture, the distance between the user equipment and the base station was not in step with the requirements of these real-time applications [3]. This posed a problem for applications ultralow latency compared to network communication, because the equipment where these real-time applications are stored can be very far from the base station.…”

Section: Introductionmentioning

confidence: 99%

“…Hence, several types of architecture related to that of the edge computing have been proposed. Among them, Home Edge Computing (HEC) [3], which is a three-tier architecture-consisting of the central cloud, Multi-access Edge Computing (MEC) server, and HEC server. Compared to other existing Edge Computing architectures, the HEC can significantly reduce network latency and thus meet the requirements of certain types of real-time applications (e.g.…”

Section: Introductionmentioning

confidence: 99%

“…Virtual Reality, Augmented Reality, etc.). However, the processing time on the HEC architecture increases considerably, which will pose a real problem for these real-time applications [3]. This is due to the limitation of resources (CPU, RAM and Storage) in the Home Edge Computing (HEC) servers or local servers which constitute the third level of architecture that interact directly with applications.…”

Section: Introductionmentioning

confidence: 99%

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Hierarchical Load Balancing and Clustering Technique for Home Edge Computing

et al. 2020

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The edge computing system attracts much more attention and is expected to satisfy ultra-low response time required by emerging IoT applications. Nevertheless, as there were problems on latency such as the emerging traffic requiring very sensitive delay, a new Edge Computing system architecture, namely Home Edge Computing (HEC) supporting these real-time applications has been proposed. HEC is a threelayer architecture made up of HEC servers, which are very close to users, Multi-access Edge Computing (MEC) servers and the central cloud. This paper proposes a solution to solve the problems of latency on HEC servers caused by their limited resources. The increase in the traffic rate creates a long queue on these servers, i.e., a raise in the processing time (delay) for requests. By leveraging, based on clustering and load balancing techniques, we propose a new technique called HEC-Clustering Balance. It allows us to distribute the requests hierarchically on the HEC clusters and another focus of the architecture to avoid congestion on a HEC server to reduce the latency. The results show that HEC-Clustering Balance is more efficient than baseline clustering and load balancing techniques. Thus, compared to the HEC architecture, we reduce the processing time on the HEC servers to 19% and 73% respectively on two experimental scenarios.

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Home Edge Computing (HEC): Design of a New Edge Computing Technology for Achieving Ultra-Low Latency

Cited by 31 publications

References 11 publications

An Architecture for Blockchain over Edge-enabled IoT for Smart Circular Cities

An Architecture for Blockchain over Edge-enabled IoT for Smart Circular Cities

Edge Computing: Um Estudo sobre Ferramentas de Simulação e suas Características

Hierarchical Load Balancing and Clustering Technique for Home Edge Computing

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