Distributed Uniform Streaming Framework: An Elastic Fog Computing Platform for Event Stream Processing and Platform Transparency

Vanneste, Simon; Hoog, Jens de; Huybrechts, Thomas; Bosmans, Stig; Eyckerman, Reinout; Sharif, Muddsair; Mercelis, Siegfried; Hellinckx, Peter

doi:10.3390/fi11070158

Cited by 24 publications

(14 citation statements)

References 13 publications

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“…However, DSP frameworks were not originally designed with the necessary elasticity to dynamically adjust their resource usage to the current workload conditions [9]. As a result, any runtime DSP resource reconfiguration remains a costly operation [10].…”

Section: Introductionmentioning

confidence: 99%

Model-based Stream Processing Auto-scaling in Geo-Distributed Environments

Arkian

Pierre

Tordsson

et al. 2021

2021 International Conference on Computer Communications and Networks (ICCCN)

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Data stream processing is an attractive paradigm for analyzing IoT data at the edge of the Internet before transmitting processed results to a cloud. However, the relative scarcity of fog computing resources combined with the workloads' nonstationary properties make it impossible to allocate a static set of resources for each application. We propose Gesscale, a resource auto-scaler which guarantees that a stream processing application maintains a sufficient Maximum Sustainable Throughput to process its incoming data with no undue delay, while not using more resources than strictly necessary. Gesscale derives its decisions about when to rescale and which geo-distributed resource(s) to add or remove on a performance model that gives precise predictions about the future maximum sustainable throughput after reconfiguration. We show that this auto-scaler uses 17% less resources, generates 52% fewer reconfigurations, and processes more input data than baseline auto-scalers based on threshold triggers or a simpler performance model. Index Terms-Stream processing, auto-scaling, fog computing.

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Section: Introductionmentioning

confidence: 99%

Model-based Stream Processing Auto-scaling in Geo-Distributed Environments

Arkian

Pierre

Tordsson

et al. 2021

2021 International Conference on Computer Communications and Networks (ICCCN)

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“…The CAMINO-Core is the heart of the framework, implementing the main functionality that is required to control the incoming and outgoing data flows between the northbound and [31] that provides interconnection to sensors, actuators, third-party services and HMIs by using a publisher/subscriber architecture.…”

Section: B the Camino Frameworkmentioning

confidence: 99%

Experimental V2X Evaluation for C-V2X and ITS-G5 Technologies in a Real-Life Highway Environment

Maglogiannis

Naudts

Hadiwardoyo

et al. 2022

IEEE Trans. Netw. Serv. Manage.

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In the coming years, connectivity between vehicles with autonomous driving features and roadside infrastructure will become more and more a reality on our roads, pursuing to improve road safety and traffic efficiency. In this regard, two main communication standards are considered as key enablers, that is ITS-G5 (based on IEEE 802.11p) and C-V2X (3GPP). To assess the real performance of these technologies, there is still need for an objective and independent one-to-one comparison of these technologies using off-the-shelf hardware under identical and real-life traffic conditions. Until today, performance evaluations are limited to simulations, emulations or individual technology assessments in real-life circumstances. In this paper, an exhaustive and fair evaluation of the technologies has been conducted in a real-life highway environment under identical conditions. Tailored evaluation tools in combination with our in-house CAMINO vehicular framework has been utilized to perform the tests and analyze the results for different wellspecified test cases. The performance evaluation shows that for the short-range technologies, C-V2X PC5 has, in general, a higher range than ITS-G5, while ITS-G5 offers lower latency than C-V2X PC5 in low-density scenarios. Long-range 4G C-V2X can be considered as an alternative for certain use cases. The outcome of this experimentation study can be used as valuable information for the further development of future (5G) connected and autonomous driving.

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“…At the northbound interface, CAMINO-Core is integrated with the Distributed Uniform Streaming (DUST) open-source framework [13,14] that provides interconnection to sensors, actuators, third-party services and HMI by using a publisher/subscriber architecture. More information about the northbound interface is provided in Section 5.…”

Section: Camino Architecture For V2x Communicationmentioning

confidence: 99%

“…At the northbound interface, CAMINO-Core is integrated with the DUST framework [13] using publisher/subscriber architecture. DUST optimizes the distribution of resources in a modern IoT environment.…”

Section: Sensors Actuators and External Services Integrationmentioning

confidence: 99%

Vehicular Communication Management Framework: A Flexible Hybrid Connectivity Platform for CCAM Services

et al. 2021

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In the upcoming decade and beyond, the Cooperative, Connected and Automated Mobility (CCAM) initiative will play a huge role in increasing road safety, traffic efficiency and comfort of driving in Europe. While several individual vehicular wireless communication technologies exist, there is still a lack of real flexible and modular platforms that can support the need for hybrid communication. In this paper, we propose a novel vehicular communication management framework (CAMINO), which incorporates flexible support for both short-range direct and long-range cellular technologies and offers built-in Cooperative Intelligent Transport Systems’ (C-ITS) services for experimental validation in real-life settings. Moreover, integration with vehicle and infrastructure sensors/actuators and external services is enabled using a Distributed Uniform Streaming (DUST) framework. The framework is implemented and evaluated in the Smart Highway test site for two targeted use cases, proofing the functional operation in realistic environments. The flexibility and the modular architecture of the hybrid CAMINO framework offers valuable research potential in the field of vehicular communications and CCAM services and can enable cross-technology vehicular connectivity.

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Distributed Uniform Streaming Framework: An Elastic Fog Computing Platform for Event Stream Processing and Platform Transparency

Cited by 24 publications

References 13 publications

Model-based Stream Processing Auto-scaling in Geo-Distributed Environments

Model-based Stream Processing Auto-scaling in Geo-Distributed Environments

Experimental V2X Evaluation for C-V2X and ITS-G5 Technologies in a Real-Life Highway Environment

Vehicular Communication Management Framework: A Flexible Hybrid Connectivity Platform for CCAM Services

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