Complex Event Processing in Smart City Monitoring Applications

Khazael, Behnam; Malazi, Hadi Tabatabaee; Clarke, Siobhán

doi:10.1109/access.2021.3119975

Cited by 9 publications

(8 citation statements)

References 31 publications

(34 reference statements)

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“…For example, this can be seen when the concept of smart cities was introduced. Smart cities rely on information from multiple sensors and devices to make smart decisions on buildings, traffic, waste, energy, and water management [19]. Fast and responsive decisions are made based on the data gathered from and based on the IoT applications.…”

Section: Motivation Of Surveymentioning

confidence: 99%

Integrating Edge Computing and Software Defined Networking in Internet of Things: A Systematic Review

Kamarudin,

Ameedeen,

Ab Razak

et al. 2023

ijcsm

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The Internet of Things (IoT) has transformed our interaction with the world by connecting devices, sensors, and systems to the Internet, enabling real-time monitoring, control, and automation in various applications such as smart cities, healthcare, transportation, homes, and grids. However, challenges related to latency, privacy, and bandwidth have arisen due to the massive influx of data generated by IoT devices and the limitations of traditional cloud-based architectures. Moreover, network management, interoperability, security, and scalability issues have emerged due to the rapid growth and heterogeneous nature of IoT devices. To overcome such problems, researchers proposed a new architecture called Software Defined Networking for Edge Computing in the Internet of Things (SDN-EC-IoT), which combines Edge Computing for the Internet of Things (EC-IoT) and Software Defined Internet of Things (SDIoT). Although researchers have studied EC-IoT and SDIoT as individual architectures, they have not yet addressed the combination of both, creating a significant gap in our understanding of SDN-EC-IoT. This paper aims to fill this gap by presenting a comprehensive review of how the SDN-EC-IoT paradigm can solve IoT challenges. To achieve this goal, this study conducted a literature review covering 74 articles published between 2019 and 2023. Finally, this paper identifies future research directions for SDN-EC-IoT, including the development of interoperability platforms, scalable architectures, low latency and Quality of Service (QoS) guarantees, efficient handling of big data, enhanced security and privacy, optimized energy consumption, resource-aware task offloading, and incorporation of machine learning.

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Section: Motivation Of Surveymentioning

confidence: 99%

Integrating Edge Computing and Software Defined Networking in Internet of Things: A Systematic Review

Kamarudin,

Ameedeen,

Ab Razak

et al. 2023

ijcsm

View full text Add to dashboard Cite

show abstract

“…Smart cities provide services from different domains (e.g., public transport, traffic monitoring, location services, intelligent public spaces, energy-saving, public safety, and emergency services) to support citizens' daily activities [4], [241]. Such services are likely to be deployed in large, dynamic, heterogeneous, and distributed environments that require dynamic service placement to satisfy citizens' needs [42], [242], [243]. The collaboration among edge servers supports the application services that require processing a large volume of geographically distributed data [72], [244].…”

Section: Smart City Servicesmentioning

confidence: 99%

Dynamic Service Placement in Multi-Access Edge Computing: A Systematic Literature Review

et al. 2022

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The advent of new cloud-based applications such as mixed reality, online gaming, autonomous driving, and healthcare has introduced infrastructure management challenges to the underlying service network. Multi-access edge computing (MEC) extends the cloud computing paradigm and leverages servers near end-users at the network edge to provide a cloud-like environment. The optimum placement of services on edge servers plays a crucial role in the performance of such service-based applications. Dynamic service placement problem addresses the adaptive configuration of application services at edge servers to facilitate end-users and those devices that need to offload computation tasks. While reported approaches in the literature shed light on this problem from a particular perspective, a panoramic study of this problem reveals the research gaps in the big picture. This paper introduces the dynamic service placement problem and outline its relations with other problems such as task scheduling, resource management, and caching at the edge. We also present a systematic literature review of existing dynamic service placement methods for MEC environments from networking, middleware, applications, and evaluation perspectives. In the first step, we review different MEC architectures and their enabling technologies from a networking point of view. We also introduce different cache deployment solutions in network architectures and discuss their design considerations. The second step investigates dynamic service placement methods from a middleware viewpoint. We review different service packaging technologies and discuss their trade-offs. We also survey the methods and identify eight research directions that researchers follow. Our study categorises the research objectives into six main classes, proposing a taxonomy of design objectives for the dynamic service placement problem. We also investigate the reported methods and devise a solutions taxonomy comprising six criteria. In the third step, we concentrate on the application layer and introduce the applications that can take advantage of dynamic service placement. The fourth step investigates evaluation environments used to validate the solutions, including simulators and testbeds. We introduce real-world datasets such as edge server locations, mobility traces, and service requests used to evaluate the methods. We compile a list of open issues and challenges categorised by various viewpoints in the last step.

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“…The first challenge is to deal with the heterogeneity present at different layers in the IoT. The multitenant IoT devices in smart cities 4 have dissimilar sensing/actuating, processing, and communication capabilities. From a networking perspective, IoT systems use various networking protocols and communication mechanisms to couple their architectural modules.…”

Section: Interoperable Internet Of Things For Smart Transportation Sy...mentioning

confidence: 99%

Interoperable Internet of Things for Smart Transportation Systems in Circular Cities

et al. 2022

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Complex Event Processing in Smart City Monitoring Applications

Cited by 9 publications

References 31 publications

Integrating Edge Computing and Software Defined Networking in Internet of Things: A Systematic Review

Integrating Edge Computing and Software Defined Networking in Internet of Things: A Systematic Review

Dynamic Service Placement in Multi-Access Edge Computing: A Systematic Literature Review

Interoperable Internet of Things for Smart Transportation Systems in Circular Cities

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