GeeLytics: Geo-distributed edge analytics for large scale IoT systems based on dynamic topology

Cheng, Bin; Παπαγεωργιου, Αποστολοσ; Cirillo, Flavio; Kovacs, Ernoe

doi:10.1109/wf-iot.2015.7389116

Cited by 34 publications

(8 citation statements)

References 11 publications

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“…Cloud-based data stream processing applications are not able to keep up with geo-distributed IoT systems. Cheng et al designed GeeLytics, an edge analytics platform, to process real-time data streams from network edges and in the cloud [336]. To process IoT data streams, the authors design their platform to account for unstructured stream data that is constantly generated, mobility and colocation of sensors, low latency, heterogeneity, and ubiquity.…”

Section: Programmabilitymentioning

confidence: 99%

All one needs to know about fog computing and related edge computing paradigms: A complete survey

Yousefpour

Fung

Nguyen

et al. 2019

Journal of Systems Architecture

1,096

613

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With the Internet of Things (IoT) becoming part of our daily life and our environment, we expect rapid growth in the number of connected devices. IoT is expected to connect billions of devices and humans to bring promising advantages for us. With this growth, fog computing, along with its related edge computing paradigms, such as multi-access edge computing (MEC) and cloudlet, are seen as promising solutions for handling the large volume of securitycritical and time-sensitive data that is being produced by the IoT. In this paper, we first provide a tutorial on fog computing and its related computing paradigms, including their similarities and differences. Next, we provide a taxonomy of research topics in fog computing, and through a comprehensive survey, we summarize and categorize the efforts on fog computing and its related computing paradigms. Finally, we provide challenges and future directions for research in fog computing.

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Section: Programmabilitymentioning

confidence: 99%

All one needs to know about fog computing and related edge computing paradigms: A complete survey

Yousefpour

Fung

Nguyen

et al. 2019

Journal of Systems Architecture

1,096

613

View full text Add to dashboard Cite

show abstract

“…Results depict improvement in latencies for M-IoT systems and rational workload allocation. Genetics a geo-distributed real-time stream processing for the dynamic edge-cloud network is proposed in [211] to achieve low latency by exploiting minimum bandwidth allocation and task sharing. A distributed Complex Event Processing engine (CEP) for a fully distributed edge IoT network is presented in [212].…”

Section: ) Edge Computing In M-iotmentioning

confidence: 99%

Multimedia Internet of Things: A Comprehensive Survey

et al. 2020

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The immense increase in multimedia-on-demand traffic that refers to audio, video, and images, has drastically shifted the vision of the Internet of Things (IoT) from scalar to Multimedia Internet of Things (M-IoT). IoT devices are constrained in terms of energy, computing, size, and storage memory. Delaysensitive and bandwidth-hungry multimedia applications over constrained IoT networks require revision of IoT architecture for M-IoT. This paper provides a comprehensive survey of M-IoT with an emphasis on architecture, protocols, and applications. This article starts by providing a horizontal overview of the IoT. Then, we discuss the issues considering the characteristics of multimedia and provide a summary of related M-IoT architectures. Various multimedia applications supported by IoT are surveyed, and numerous use cases related to road traffic management, security, industry, and health are illustrated to show how different M-IoT applications are revolutionizing human life. We explore the importance of Quality-of-Experience (QoE) and Quality-of-Service (QoS) for multimedia transmission over IoT. Moreover, we explore the limitations of IoT for multimedia computing and present the relationship between the M-IoT and emerging technologies including event processing, feature extraction, cloud computing, Fog/Edge computing and Software-Defined-Networks (SDNs). We also present the need for better routing and Physical-Medium Access Control (PHY-MAC) protocols for M-IoT. Finally, we present a detailed discussion on the open research issues and several potential research areas related to emerging multimedia communication in IoT. INDEX TERMS Multimedia Internet of Things (M-IoT), multimedia communication, Internet of Multimedia Things (IoMT), multimedia computing, Quality-of-Experience (QoE), Quality-of-Service (QoS), multimedia routing, medium access control (MAC).

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“…B. Cheng and coworkers [73] developed an edge analytics platform (GeeLytics) capable of conducting synchronous processing of data at the network edges as well as the clouds. This approach coped with the geo-distributed and low-latency analytics due to the huge deal of IoT data.…”

Section: B Recent Advances On Big Datamentioning

confidence: 99%

IoT and Big Data Applications in Smart Cities: Recent Advances, Challenges, and Critical Issues

et al. 2021

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The notion of smart cities has remained under evolution as its global implementations are challenged by numerous technological, economic, and governmental obstacles. Moreover, the synergy of the Internet of Things (IoT) and big data technologies could result in promising horizons in terms of smart city development which has not been explored yet. Thus, the current research aims to address the essence of smart cities. To this end, first, the concept of smart cities is briefly overviewed; then, their properties and specifications as well as generic architecture, compositions, and real-world implementations are addressed. Furthermore, possible challenges and opportunities in the field of smart cities are described. Numerous issues and challenges such as analytics and using big data in smart cities introduced in this study offers an enhancement in developing applications of the above-mentioned technologies. Hence, this study paves the way for future research on the issues and challenges of big data applications in smart cities.INDEX TERMS Big data, Internet of Things (IoT), smart city.

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GeeLytics: Geo-distributed edge analytics for large scale IoT systems based on dynamic topology

Cited by 34 publications

References 11 publications

All one needs to know about fog computing and related edge computing paradigms: A complete survey

All one needs to know about fog computing and related edge computing paradigms: A complete survey

Multimedia Internet of Things: A Comprehensive Survey

IoT and Big Data Applications in Smart Cities: Recent Advances, Challenges, and Critical Issues

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