A Universal Complex Event Processing Mechanism Based on Edge Computing for Internet of Things Real-Time Monitoring

Lan, Lina; Shi, Ruisheng; Bai, Wei; Zhang, Lei; Ning, Jifeng

doi:10.1109/access.2019.2930313

Cited by 28 publications

(23 citation statements)

References 17 publications

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“…The edge layer supports simple IoT devices that cannot undertake complex computational processes or that need data streams from several devices to execute an action. The offloading of data generated by sensors varies from improving the user experience by reducing latencies in availability [ 16 ], to making decisions in complex event processing systems (CEP) [ 17 ], among others.…”

Section: Methodsmentioning

confidence: 99%

“…Lan et al [ 17 ] propose an architecture with an IoT gateway or a separate computer in the same LAN as part of the edge layer. The gateway receives data from different sources and processes it with complex rules to provide complex events to cloud consumers.…”

Section: Methodsmentioning

confidence: 99%

“…Therefore, the dataflow is highly decoupled from data exchange. However, at the edge level, with an architectural approach like the one presented in [ 17 ], data storage tends to be ephemeral. Data generated by sensors are useful during a short period of time for immediate decision making.…”

Section: Methodsmentioning

confidence: 99%

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A Service Discovery Solution for Edge Choreography-Based Distributed Embedded Systems

Clavero

Montón

Palanca-Barrio

et al. 2021

Sensors

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This paper presents a solution to support service discovery for edge choreography based distributed embedded systems. The Internet of Things (IoT) edge architectural layer is composed of Raspberry Pi machines. Each machine hosts different services organized based on the choreography collaborative paradigm. The solution adds to the choreography middleware three messages passing models to be coherent and compatible with current IoT messaging protocols. It is aimed to support blind hot plugging of new machines and help with service load balance. The discovery mechanism is implemented as a broker service and supports regular expressions (Regex) in message scope to discern both publishing patterns offered by data providers and client services necessities. Results compare Control Process Unit (CPU) usage in a request–response and datacentric configuration and analyze both regex interpreter latency times compared with a traditional message structure as well as its impact on CPU and memory consumption.

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Section: Methodsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

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A Service Discovery Solution for Edge Choreography-Based Distributed Embedded Systems

Clavero

Montón

Palanca-Barrio

et al. 2021

Sensors

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“…Open-source stream processing engines, such as Apache Storm, Apache Stream and Apache Flink, have been implemented for use in the cloud and are currently also adopted in IoT environments [25]. Various studies propose novel stream processing frameworks that are designed for the IoT environment (e.g., DART [26] and PESP [27]), while [28] proposes a CEP mechanism that leverages edge computing for IoT data real-time processing.…”

Section: A Event Processingmentioning

confidence: 99%

A RESTful Rule Management Framework for Internet of Things Applications

2020

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Web technologies are currently regarded as key enabling factors for the Internet of Things (IoT), and substantial effort is being dedicated to bringing sensors and data from the real world to the Web. In addition, rule-based automation mechanisms are expected to play a significant role in the effective integration of the physical world with the virtual world by leveraging a trigger-action paradigm. Although several rule engines are already available, limited effort has been devoted to rule-based solutions that are tailored to the IoT and consider rule configurability and extensibility according to application requirements. In this work, we propose a RESTful rule management framework for IoT applications that satisfies these requirements. The framework is centered around a resource-based graph, which enables the uniform representation of things (e.g., sensors and domain entities) and rules as URI-addressable resources. We describe the design and implementation choices of the main rule management features (rule scheduling, activation and RESTful operations for managing rules at various levels of configurability and extensibility). Finally, we present a case study and performance evaluation results regarding the use of this rule management framework in a set of school buildings that were part of a real-world IoT deployment that was realized within the Horizon 2020 GAIA research project, with the objective of promoting energy-saving behaviors in school communities. INDEX TERMS Behavior-based energy saving, education, Internet of Things, REST, rule engine, Web of Things.

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“…This concept of "edge of things" further extends the usual paradigm of IoT, with direct application on event detection and alert. In a different approach, the work in [58] also exploited edge computing for efficient distributed processing of sensed variables.…”

Section: A Smart City Perspective Of Emergency Alertingmentioning

confidence: 99%

A Distributed Multi-Tier Emergency Alerting System Exploiting Sensors-Based Event Detection to Support Smart City Applications

Costa

Vasques

Portugal

et al. 2019

Sensors

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The development of efficient sensing technologies and the maturation of the Internet of Things (IoT) paradigm and related protocols have considerably fostered the expansion of sensor-based monitoring applications. A great number of those applications has been developed to monitor a set of information for better perception of the environment, with some of them being dedicated to identifying emergency situations. Current IoT-based emergency systems have limitations when considering the broader scope of smart cities, exploiting one or just a few monitoring variables or even allocating high computational burden to regular sensor nodes. In this context, we propose a distributed multi-tier emergency alerting system built around a number of sensor-based event detection units, providing real-time georeferenced information about the occurrence of critical events, while taking as input a configurable number of different scalar sensors and GPS data. The proposed system could then be used to detect and to deliver emergency alarms, which are computed based on the detected events, the previously known risk level of the affected areas and temporal information. Doing so, modularized and flexible perceptions of critical events are provided, according to the particularities of each considered smart city scenario. Besides implementing the proposed system in open-source electronic platforms, we also created a real-time visualization application to dynamically display emergency alarms on a map, demonstrating a feasible and useful application of the system as a supporting service. Therefore, this innovative approach and its corresponding physical implementation can bring valuable results for smart cities, potentially supporting the development of adaptive IoT-based emergency-aware applications.

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A Universal Complex Event Processing Mechanism Based on Edge Computing for Internet of Things Real-Time Monitoring

Cited by 28 publications

References 17 publications

A Service Discovery Solution for Edge Choreography-Based Distributed Embedded Systems

A Service Discovery Solution for Edge Choreography-Based Distributed Embedded Systems

A RESTful Rule Management Framework for Internet of Things Applications

A Distributed Multi-Tier Emergency Alerting System Exploiting Sensors-Based Event Detection to Support Smart City Applications

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