V-PRISM: An Edge-Based IoT Architecture to Virtualize Multimedia Sensors

Battisti, Anselmo Luiz Éden; Muchaluat-Saade, Débora C.; Delicato, Flávia Coimbra

doi:10.1109/wf-iot48130.2020.9221199

Cited by 3 publications

(3 citation statements)

References 15 publications

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“…As reported in our initial work [12], we analyzed that the adoption of V-PRISM and virtual multimedia sensors in IoMT environments improves the resource consumption in the IoMT device and in the IoMT network. In the current work, we present novel experiments to identify if the placement of V-PRISM components affects the QoS aspects of IoMT applications.…”

Section: Discussionmentioning

confidence: 99%

“…In this section we present the distributed V-PRISM architecture as an extension of our initial work [12]. Our current proposal supports virtualization and management of VMSs in distributed edge nodes.…”

Section: Distributed V-prism Architecturementioning

confidence: 99%

“…This work is an extension of our initial proposal [12]. In this new version, V-PRISM has evolved to a fully distributed edge architecture with several new components like VMS allocation, Environment Monitoring and Stream Sharer.…”

Section: Introductionmentioning

confidence: 99%

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Enabling Internet of Media Things With Edge-Based Virtual Multimedia Sensors

2021

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Multimedia sensors have recently become a significant data source in the Internet of Things (IoT), giving rise to the Internet of Media Things (IoMT). Since multimedia applications are usually latencysensitive, data processing in the cloud is not always suitable. A strategy to minimize delay is processing multimedia streams closer to data sources, exploiting resources at the network edge. Moreover, virtualization is widely used to reduce complexity arising from heterogeneity in IoT environments. In this paper, we propose an edge-based architecture and platform to manage virtual multimedia sensors (VMS), enabling IoMT applications to be easily deployed. Our proposal encompasses V-PRISM, a software architecture tailored for IoMT, and ALFA, a distributed implementation of the architecture. V-PRISM components were designed to be deployed and executed in multiple edge nodes. VMSs are in charge of processing multimedia streams and provide an abstraction layer between IoMT applications and physical devices that produce those streams. This paper describes the proposal and the results of experiments showing that the proposed approach can successfully perform multimedia stream processing for applications that requires low-latency.

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Section: Discussionmentioning

confidence: 99%

Section: Distributed V-prism Architecturementioning

confidence: 99%

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Enabling Internet of Media Things With Edge-Based Virtual Multimedia Sensors

2021

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Edge Computing and Sensor-Cloud: Overview, Solutions, and Directions

et al. 2023

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Sensor-cloud originates from extensive recent applications of wireless sensor networks and cloud computing. To draw a roadmap of the current research activities of the sensor-cloud community, we first investigate the state-of-the-art sensor-cloud literature reviews published in the recent five years, and discover that these surveys have primarily studied the sensor-cloud in specific aspects, namely, security-enabled solutions, efficient management mechanisms, and architectural challenges. Whilst the existing surveys have reviewed the sensor-cloud from various perspectives, they are inadequate for the three key issues that require urgent attention in the sensor-cloud: reliability , energy , and heterogeneity . To fill this gap, we perform a thorough survey by examining the origins of the sensor-cloud and providing an in-depth and comprehensive discussion of these three key challenges. We summarize initial designs of the new edge-based schemes to address these challenges and identify several open issues and promising future research directions.

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A Domain-Specific Language for Multimedia Service Function Chains based on Virtualization of Sensors

Quico,

Battisti,

Muchaluat-Saade

et al. 2024

Proceedings of the 30th Brazilian Symposium on Multimedia and the Web (WebMedia 2024)

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Language is a dynamic aspect of our culture that changes when expressed in different technologies and/or communities. On the Internet, social networks have enabled the diffusion and evolution of different dialects, including African American English (AAE). However, this increased usage of different dialects is not without barriers. One particular barrier, the focus of this paper, is on how sentiment (Vader, TextBlob, and Flair) and toxicity (Google’s Perspective and models from the open-source Detoxify) scoring methods present biases towards utterances with AAE expressions. In particular, AI tools cannot understand the re-appropriation of the terms, leading to false positive scores and biases. Here, we study the bias of Toxicity and Sentiment Analysis models based on experiments performed on Web-and spoken English datasets.

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V-PRISM: An Edge-Based IoT Architecture to Virtualize Multimedia Sensors

Cited by 3 publications

References 15 publications

Enabling Internet of Media Things With Edge-Based Virtual Multimedia Sensors

Enabling Internet of Media Things With Edge-Based Virtual Multimedia Sensors

Edge Computing and Sensor-Cloud: Overview, Solutions, and Directions

A Domain-Specific Language for Multimedia Service Function Chains based on Virtualization of Sensors

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