Mobile fog

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

doi:10.1145/2491266.2491270

Cited by 409 publications

(50 citation statements)

References 7 publications

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“…At the lowest level of an IoT network, it is expected to have hundreds or even more elements associated with each fog node. These elements may be sensors, actuators, or control nodes, which can range from relatively dumb devices, with major processing capability constraints, to well-equipped nodes that can easily handle the full stack network protocols [26].…”

Section: Data Collection and Protocols At The Edgementioning

confidence: 99%

The Internet of Things, Fog and Cloud continuum: Integration and challenges

et al. 2018

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The Internet of Things needs for computing power and storage are expected to remain on the rise in the next decade. Consequently, the amount of data generated by devices at the edge of the network will also grow. While cloud computing has been an established and effective way of acquiring computation and storage as a service to many applications, it may not be suitable to handle the myriad of data from IoT devices and fulfill largely heterogeneous application requirements. Fog computing has been developed to lie between IoT and the cloud, providing a hierarchy of computing power that can collect, aggregate, and process data from/to IoT devices. Combining fog and cloud may reduce data transfers and communication bottlenecks to the cloud and also contribute to reduced latencies, as fog computing resources exist closer to the edge. This paper examines this IoT-Fog-Cloud ecosystem and provides a literature review from different facets of it: how it can be organized, how management is being addressed, and how applications can benefit from it. Lastly, we present challenging issues yet to be addressed in IoT-Fog-Cloud infrastructures. low latency, and mobile applications. The centralized cloud data centers are often physically and/or logically distant from the cloud client, implying communication and data transfers to traverse multiple hops, which introduces delays and consumes network bandwidth of edge and core networks [2].The widespread adoption of cloud computing, combined with the ever increasing ability of edge devices to run heterogeneous applications that generate and consume all kinds of data from a variety of sources, requires novel distributed computing infrastructures that can cope with such heterogeneous application requirements. Computing infrastructures that enact applications at edge devices have started to appear in recent years [3,4], improving aspects such as response time and reducing bandwidth use. Combining the ability of running smaller, localized applications at the edge with the high-capacity from the cloud, fog computing has emerged as an paradigm that can support heterogeneous requirements of small and large applications through multiple layers of a computational infrastructure that combines resources from the edge of the network as well as from the cloud [5].In this paper, we aim at identifying and reviewing the main aspects and challenges that make the combination of fog computing and cloud computing suitable for all kinds of applications leveraged by the Internet of Things. We discuss aspects from the infrastructure (processing, networking, protocols, and infrastructure for 5G support) to applications (smart cities, urban computing, and industry 4.0), passing through the management complexity of the distributed IoT-fog-cloud system (services, resource allocation and optimization, energy consumption, data management and locality, devices federation and trust, and business and service models).In the next section we introduce concepts and definitions for Internet of Things (IoT), cloud computi...

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Section: Data Collection and Protocols At The Edgementioning

confidence: 99%

The Internet of Things, Fog and Cloud continuum: Integration and challenges

et al. 2018

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“…Mobile nodes are equipped with calculation and routing capabilities while each of the computing instances are allotted a specific amount of system resources in terms of CPU speed, number of cores, memory size, and storage capacity. In other words, the computing instance of each node in a smart traffic environment is able to execute application code [6].…”

Section: Related Researches 21 Fog Computingmentioning

confidence: 99%

“…A fog-based intelligent DSS (decision support system) is a fog-based rule violation monitoring system which may be adopted in a future driver surveillance system designed to crack down on drivers that use mobile devices using driving [6,8].…”

Section: Dss [9]mentioning

confidence: 99%

Design of Safety Assurance System of Specific Vehicle Information using ABPRE in the Fog Computing Environment

2019

Teh. vjesn.

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There would be high demand for technology that monitors illegal activity and detects risk with respect to vehicles on the road in a future urban traffic system, for accident prevention. However, there may be substantial overheads from the massive amount of data that would be required for the surveillance system as it would be automatically operated and used, as further advancements are made in sensor network technology and IoT (Internet of Things). In the transportation field, systems were mainly studied to measure the driver's drowsiness or mobile phone use. These systems will collect information from several mobile devices at the same time, resulting in overhead of data. Fog computing reduces the overhead of data because it uses distributed proxy servers. However, security aspects were not considered. Encryption can be done to ensure the privacy of the information on the moving vehicles. However, in order to track a specific vehicle the data of the moving vehicles should be provided decrypted or decrypted by the secondary user. In this paper, to solve security aspects, we provide a new DSS model that utilizes ABPRE (Attribute Based Proxy Re-Encryption). The proposed system encrypts data sensed from moving vehicles. The cipher is configured to re-encrypt quickly at the proxy. The proposed method allows only users with access authority via secondary user's properties to access data with attribute-based re-encryption. Therefore, safety is secured.

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“…Thus, any subsequent method invocation is not executed until previous ones are executed even when they could run concurrently. Mobile Fog [5] is a high level programming model for the future Internet applications that are geospatially distributed, large-scale, and latency-sensitive. The goal is to allow applications to dynamically scale based on their workload using ondemand resources in the fog and in the cloud.…”

Section: Related Workmentioning

confidence: 99%

An Architecture for Programming Distributed Applications on Fog to Cloud Systems

Lordan

Lezzi

Ejarque

et al. 2018

Euro-Par 2017: Parallel Processing Workshops

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Abstract. This paper presents a framework to develop and execute applications in distributed and highly dynamic computing systems composed of cloud resources and fog devices such as mobile phones, cloudlets, and micro-clouds. The work builds on the COMPSs programming framework, which includes a programming model and a runtime already validated in HPC and cloud environments for the transparent execution of parallel applications. As part of the proposed contribution, COMPSs has been enhanced to support the execution of applications on mobile platforms that offer GPUs and CPUs. The scheduling component of COMPSs is under design to be able to offload the computation to other fog devices in the same level of the hierarchy and to cloud resources when more computational power is required. The framework has been tested executing a sample application on a mobile phone offloading task to a laptop and a private cloud.

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Mobile fog

Cited by 409 publications

References 7 publications

The Internet of Things, Fog and Cloud continuum: Integration and challenges

The Internet of Things, Fog and Cloud continuum: Integration and challenges

Design of Safety Assurance System of Specific Vehicle Information using ABPRE in the Fog Computing Environment

An Architecture for Programming Distributed Applications on Fog to Cloud Systems

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