Opportunistic spatio-temporal event processing for mobile situation awareness

Hong, Kibeom; Lillethun, David; Ramachandran, Umakishore; Ottenwälder, Beate; Koldehofe, Boris

doi:10.1145/2488222.2488266

Cited by 36 publications

(16 citation statements)

References 35 publications

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“…A total of eight articles were identified on the concept of Fog computing [1], [2], [8], [9], [10], [11], [12], [13], [14]. There are some other concepts, not declared as Fog computing, fall under the same umbrella.…”

Section: State-of-the-artmentioning

confidence: 99%

The Fog Computing Paradigm: Scenarios and Security Issues

Stojmenović¹,

Wen²

2014

Annals of Computer Science and Information Systems

799

441

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Abstract-Fog Computing is a paradigm that extends Cloud computing and services to the edge of the network. Similar to Cloud, Fog provides data, compute, storage, and application services to end-users. In this article, we elaborate the motivation and advantages of Fog computing, and analyse its applications in a series of real scenarios, such as Smart Grid, smart traffic lights in vehicular networks and software defined networks. We discuss the state-of-the-art of Fog computing and similar work under the same umbrella. Security and privacy issues are further disclosed according to current Fog computing paradigm. As an example, we study a typical attack, man-in-the-middle attack, for the discussion of security in Fog computing. We investigate the stealthy features of this attack by examining its CPU and memory consumption on Fog device.

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Section: State-of-the-artmentioning

confidence: 99%

The Fog Computing Paradigm: Scenarios and Security Issues

Stojmenović¹,

Wen²

2014

Annals of Computer Science and Information Systems

799

441

View full text Add to dashboard Cite

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“…Latency sensitive applications are essential software architectural requirement in fog networking deployment for provision a real-time streaming and processing response. Spatiotemporal system architecture [36] proposed a time-sensitive event processing, based on fog to mitigate high latency data transmission. Another research work [37] has been described and experimented at application named RECEP, which exploits overlapping on data and cache imprecise results for reusing of computational resources and reduction requirement.…”

Section: Quality Of Service (Qos)mentioning

confidence: 99%

Fog Computing: An Overview of Big IoT Data Analytics

Anawar

Wang

Zia

et al. 2018

Wireless Communications and Mobile Computing

152

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A huge amount of data, generated by Internet of Things (IoT), is growing up exponentially based on nonstop operational states. Those IoT devices are generating an avalanche of information that is disruptive for predictable data processing and analytics functionality, which is perfectly handled by the cloud before explosion growth of IoT. Fog computing structure confronts those disruptions, with powerful complement functionality of cloud framework, based on deployment of micro clouds (fog nodes) at proximity edge of data sources. Particularly big IoT data analytics by fog computing structure is on emerging phase and requires extensive research to produce more proficient knowledge and smart decisions. This survey summarizes the fog challenges and opportunities in the context of big IoT data analytics on fog networking. In addition, it emphasizes that the key characteristics in some proposed research works make the fog computing a suitable platform for new proliferating IoT devices, services, and applications. Most significant fog applications (e.g., health care monitoring, smart cities, connected vehicles, and smart grid) will be discussed here to create a well-organized green computing paradigm to support the next generation of IoT applications.

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“…Furthermore, mobile devices have an application to activate and deactivate the collaboration mode, indicating whether they openly can offer its computational power. Specifically close to the fog computing area, the work in [61] analyses the edge device mobility from a different perspective. Fog nodes are considered static mini-clouds located at the edge of the network, whereas the edge devices are continuously moving.…”

Section: Mobility and Inaccuracymentioning

confidence: 99%

Do we all really know what a fog node is? Current trends towards an open definition

Marín‐Tordera

Masip-Bruin

García-Almiñana

et al. 2017

Computer Communications

108

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Abstract:Fog computing has emerged as a promising technology that can bring cloud applications closer to the physical IoT devices at the network edge. While it is widely known what cloud computing is, how data centers can build the cloud infrastructure and how applications can make use of this infrastructure, there is no common picture on what fog computing and particularly a fog node, as its main building block, really is. One of the first attempts to define a fog node was made by Cisco, qualifying a fog computing system as a "mini-cloud" located at the edge of the network and implemented through a variety of edge devices, interconnected by a variety, mostly wireless, communication technologies. Thus, a fog node would be the infrastructure implementing the said mini-cloud. Other proposals have their own definition of what a fog node is, usually in relation to a specific edge device, a specific use case or an application. In this paper, we first survey the state of the art in technologies for fog computing nodes, paying special attention to the contributions that analyze the role edge devices play in the fog node definition. We summarize and compare the concepts, lessons learned from their implementation, and end up showing how a conceptual framework is emerging towards a unifying fog node definition. We focus on core functionalities of a fog node as well as in the accompanying opportunities and challenges towards their practical realization in the near future.

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Opportunistic spatio-temporal event processing for mobile situation awareness

Cited by 36 publications

References 35 publications

The Fog Computing Paradigm: Scenarios and Security Issues

The Fog Computing Paradigm: Scenarios and Security Issues

Fog Computing: An Overview of Big IoT Data Analytics

Do we all really know what a fog node is? Current trends towards an open definition

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