Demo Abstract: Crowd analysis with infrared sensor arrays on the smart city edge

Bock, Yorick De; Braem, Bart; Subotić, Dragan; Weyn, Maarten; Marquez-Barja, Johann M.

doi:10.1109/infcomw.2019.8845075

Cited by 3 publications

(2 citation statements)

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“…These former results evidence that it is always preferable to offload CPU-intense tasks from the edge to the cloud independently of the number of concurrent instances, as also stated by Yorick et al [30]. Additionally, for the case of more than 10 such concurrent tasks, the average time it takes to complete each individual task is lower when using the Chameleon testbed, even considering the transatlantic latency.…”

Section: B Task Offloadingsupporting

confidence: 67%

Achieving End-to-End Connectivity in Global Multi-Domain Networks

Municio

Cevik

Ruth

et al. 2021

IEEE INFOCOM 2021 - IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS)

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Current trends on 5G network programmability evidence the need for end-to-end flexibility from the node and edge all the way to the cloud. Such multi-domain scenarios require realistic testbeds where different task-offloading algorithms, scheduling functions, and service orchestration techniques can be deployed and tested. While many of these research components can be often explored locally in small and isolated testbeds, new 5G demands are requesting for inter-operable platforms with a wider and a more global scope. The goal for these global platforms is that they can cope with multitier hierarchical architectures that are capable to face intense computational processes and heavy network traffic loads, while preserving dependability and keeping a low latency on the task executions and data transmission. In this paper we demonstrate a world-wide attempt to integrate different high-performance testing facilities, located in USA, Belgium, and The Netherlands, to enable experimentation on top of such large and complex architectures. In order to do this, we describe and deploy a multi-domain use case that can benefit from a global hierarchical infrastructure. Finally, we detail the performance characteristics of the deployment, discussing the experiences and technical challenges, and presenting the lessons learned we obtained when building and testing such experimental use case.

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Section: B Task Offloadingsupporting

confidence: 67%

Achieving End-to-End Connectivity in Global Multi-Domain Networks

Municio

Cevik

Ruth

et al. 2021

IEEE INFOCOM 2021 - IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS)

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“…In the self-driving car, edge computing can provide real-time vehicle control [51]. The study in [52] proposes a hands-on demo SC application to solve people's movement.…”

Section: ) Smart Citymentioning

confidence: 99%

Convergence of Recommender Systems and Edge Computing: A Comprehensive Survey

Sun

et al. 2020

IEEE Access

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Under the explosive growth of information available on the Web, recommender systems have been used as an effective technology to filter useless information and attempt to recommend the most useful items. The proliferation of smart phones, smart wearable devices and other Internet of Thing (IoT) devices has gradually driven many novel emerging services which are latency-sensitive and computation-intensive with a higher quality-of-service. Under such circumstances, the data sources contain four key characteristics (i.e., sparsity, heterogeneity, mobility, volatility). The conventional recommender systems based on cloud computing are incapable of digging the information of user demands. Mobile edge computing is a novel computing paradigm via pushing computation/storage resource from the remote cloud servers to the network edge servers to provide more intelligent and personalized service. This paper comprehensively reviews the state of the art literature on the convergence of recommender systems and edge computing, and identify the future directions along this dimension. This paper can provide an array of new perspectives on the convergence for researchers, practitioners, and tap into the richness of this interdisciplinary research area.

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