Fog Computing for Improving User Application Interaction and Context Awareness

Saurez, Enrique; Gupta, Harshit; Ramachandran, Umakishore; Mayer, Ruben

doi:10.1145/3054977.3057297

Cited by 7 publications

(7 citation statements)

References 8 publications

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“…To answer this question, the edge server must be context-aware (such as it must know the locations of smart devices) to enable computation with strict latency [139]- [142]. Moreover, the edge server requires knowledge of network load and capacity to enable resource-efficient communication with smart devices.…”

Section: Context-awarenessmentioning

confidence: 99%

Edge-Computing-Enabled Smart Cities: A Comprehensive Survey

Khan

Yaqoob

Tran

et al. 2020

IEEE Internet Things J.

285

131

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Recent years have disclosed a remarkable proliferation of compute-intensive applications in smart cities. Such applications continuously generate enormous amounts of data which demand strict latency-aware computational processing capabilities. Although edge computing is an appealing technology to compensate for stringent latency related issues, its deployment engenders new challenges. In this survey, we highlight the role of edge computing in realizing the vision of smart cities. First, we analyze the evolution of edge computing paradigms. Subsequently, we critically review the state-of-the-art literature focusing on edge computing applications in smart cities. Later, we categorize and classify the literature by devising a comprehensive and meticulous taxonomy. Furthermore, we identify and discuss key requirements, and enumerate recently reported synergies of edge computing enabled smart cities. Finally, several indispensable open challenges along with their causes and guidelines are discussed, serving as future research directions.

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Section: Context-awarenessmentioning

confidence: 99%

Edge-Computing-Enabled Smart Cities: A Comprehensive Survey

Khan

Yaqoob

Tran

et al. 2020

IEEE Internet Things J.

285

131

View full text Add to dashboard Cite

show abstract

“…Aligned with this, authors in [82] highlight an example usage scenario of a the Foglets framework[83] presented earlier. More specifically, they show how context-aware migrations can be performed based on the user's position.…”

Section: Demonstratorsmentioning

confidence: 89%

A Survey on Mobility-Induced Service Migration in the Fog, Edge, and Related Computing Paradigms

2019

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With the advent of fog and edge computing paradigms, computation capabilities have been moved toward the edge of the network to support the requirements of highly demanding services. To ensure that the quality of such services is still met in the event of users’ mobility, migrating services across different computing nodes becomes essential. Several studies have emerged recently to address service migration in different edge-centric research areas, including fog computing, multi-access edge computing (MEC), cloudlets, and vehicular clouds. Since existing surveys in this area focus on either VM migration in general or migration in a single research field (e.g., MEC), the objective of this survey is to bring together studies from different, yet related, edge-centric research fields while capturing the different facets they addressed. More specifically, we examine the diversity characterizing the landscape of migration scenarios at the edge, present an objective-driven taxonomy of the literature, and highlight contributions that rather focused on architectural design and implementation. Finally, we identify a list of gaps and research opportunities based on the observation of the current state of the literature. One such opportunity lies in joining efforts from both networking and computing research communities to facilitate future research in this area.

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“…The richer semantics of the data model is still needed to resolve the semantic namespace problem, dealing with the distributed nature of such big data sets. However, the latter is forcing the organizations to overcome the latency issue by adding intermediary computational nodes at the edges of the networks [43].…”

Section: The Backgroundmentioning

confidence: 99%

A Survey of Context-Aware Access Control Mechanisms for Cloud and Fog Networks: Taxonomy and Open Research Issues

Kayes

Kalaria

Sarker

et al. 2020

Sensors

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Over the last few decades, the proliferation of the Internet of Things (IoT) has produced an overwhelming flow of data and services, which has shifted the access control paradigm from a fixed desktop environment to dynamic cloud environments. Fog computing is associated with a new access control paradigm to reduce the overhead costs by moving the execution of application logic from the centre of the cloud data sources to the periphery of the IoT-oriented sensor networks. Indeed, accessing information and data resources from a variety of IoT sources has been plagued with inherent problems such as data heterogeneity, privacy, security and computational overheads. This paper presents an extensive survey of security, privacy and access control research, while highlighting several specific concerns in a wide range of contextual conditions (e.g., spatial, temporal and environmental contexts) which are gaining a lot of momentum in the area of industrial sensor and cloud networks. We present different taxonomies, such as contextual conditions and authorization models, based on the key issues in this area and discuss the existing context-sensitive access control approaches to tackle the aforementioned issues. With the aim of reducing administrative and computational overheads in the IoT sensor networks, we propose a new generation of Fog-Based Context-Aware Access Control (FB-CAAC) framework, combining the benefits of the cloud, IoT and context-aware computing; and ensuring proper access control and security at the edge of the end-devices. Our goal is not only to control context-sensitive access to data resources in the cloud, but also to move the execution of an application logic from the cloud-level to an intermediary-level where necessary, through adding computational nodes at the edge of the IoT sensor network. A discussion of some open research issues pertaining to context-sensitive access control to data resources is provided, including several real-world case studies. We conclude the paper with an in-depth analysis of the research challenges that have not been adequately addressed in the literature and highlight directions for future work that has not been well aligned with currently available research.

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Fog Computing for Improving User Application Interaction and Context Awareness

Cited by 7 publications

References 8 publications

Edge-Computing-Enabled Smart Cities: A Comprehensive Survey

Edge-Computing-Enabled Smart Cities: A Comprehensive Survey

A Survey on Mobility-Induced Service Migration in the Fog, Edge, and Related Computing Paradigms

A Survey of Context-Aware Access Control Mechanisms for Cloud and Fog Networks: Taxonomy and Open Research Issues

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