A Review on Container-Based Lightweight Virtualization for Fog Computing

Raghavendra, M. Sri; Chawla, Priyanka

doi:10.1109/icrito.2018.8748346

Cited by 8 publications

(6 citation statements)

References 14 publications

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“…There is a trend in using containers in FC because container-based virtualization provides performance enhancements and can be applied to resource-constrained devices. It is more suitable in this context than a Virtual Machine (VM) since the container does not imitate the hardware but only isolates the processes [74]. The container-based approach allows service providers to deploy and replicate services on demand at the network's edge.…”

Section: Functionalmentioning

confidence: 99%

“…Virtualization techniques are widely used in FC as it allows sharing system resources in multiple and isolated execution environments [74]. Devices in the Cloud-to-thing continuum are, in general, resource-constrained and container-based virtualization, such as Docker and LXC, has been used as the main technique to run applications in isolated environments, as shown in Table 9.…”

Section: General Aspects Of Platforms Most Platforms Employ a Collabo...mentioning

confidence: 99%

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Fog Computing Platforms for Smart City Applications: A Survey

Silva

Batista

Lopes

et al. 2022

ACM Trans. Internet Technol.

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Emerging IoT applications with stringent requirements on latency and data processing have posed many challenges to cloud-centric platforms for Smart Cities. Recently, Fog Computing has been advocated as a promising approach to support such new applications and handle the increasing volume of IoT data and devices. The Fog Computing paradigm is characterized by a horizontal system-level architecture where devices close to end-users and IoT devices are used for processing, storage, and networking functions. Fog Computing platforms aim to facilitate the development of applications and systems for Smart Cities by providing services and abstractions designed to integrate data from IoT devices and various information systems deployed in the city. Despite the potential of the Fog Computing paradigm, the literature still lacks a broad, comprehensive overview of what has been investigated on the use of such paradigm in platforms for Smart Cities and open issues to be addressed in future research and development. In this paper, a systematic mapping study was performed and we present a comprehensive understanding of the use of the Fog Computing paradigm in Smart Cities platforms, providing an overview of the current state of research on this topic, and identifying important gaps in the existing approaches and promising research directions.

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Section: Functionalmentioning

confidence: 99%

Section: General Aspects Of Platforms Most Platforms Employ a Collabo...mentioning

confidence: 99%

Fog Computing Platforms for Smart City Applications: A Survey

Silva

Batista

Lopes

et al. 2022

ACM Trans. Internet Technol.

View full text Add to dashboard Cite

show abstract

“…Still, to efficiently achieve this goal, it was necessary to overcome the heterogeneity of devices within the local environments, which was enabled by the recent popularization of the microservice architecture combined with the container-based virtualization [5]. This design approach has made the components of IoT services more isolated and portable, which was the essential factor that enabled their execution across heterogeneous devices, and ultimately, the implementation of the efficient fog processing layer [6].…”

Section: Introductionmentioning

confidence: 99%

Dynamic Scheduling of Contextually Categorised Internet of Things Services in Fog Computing Environment

Krivic

Kušek

Čavrak

et al. 2022

Sensors

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Fog computing emerged as a concept that responds to the requirements of upcoming solutions requiring optimizations primarily in the context of the following QoS parameters: latency, throughput, reliability, security, and network traffic reduction. The rapid development of local computing devices and container-based virtualization enabled the application of fog computing within the IoT environment. However, it is necessary to utilize algorithm-based service scheduling that considers the targeted QoS parameters to optimize the service performance and reach the potential of the fog computing concept. In this paper, we first describe our categorization of IoT services that affects the execution of our scheduling algorithm. Secondly, we propose our scheduling algorithm that considers the context of processing devices, user context, and service context to determine the optimal schedule for the execution of service components across the distributed fog-to-cloud environment. The conducted simulations confirmed the performance of the proposed algorithm and showcased its major contribution—dynamic scheduling, i.e., the responsiveness to the volatile QoS parameters due to changeable network conditions. Thus, we successfully demonstrated that our dynamic scheduling algorithm enhances the efficiency of service performance based on the targeted QoS criteria of the specific service scenario.

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“…The idea of applying the serverless paradigm in the Fog looks appealing and promising [10]. Event-based serverless functions are naturally suited to define computation on IoT data, containerisation technologies are lightweight and can run on most edge devices, and on-demand execution of functions can lead to improved usage of resourceconstrained devices, closer to the edge of the Internet [11][12][13]. However, the adoption of the FaaS paradigm in Fog scenarios poses the challenge of preserving and enforcing security constraints.…”

Section: Introductionmentioning

confidence: 99%

Secure FaaS orchestration in the fog: how far are we?

et al. 2021

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Function-as-a-Service (FaaS) allows developers to define, orchestrate and run modular event-based pieces of code on virtualised resources, without the burden of managing the underlying infrastructure nor the life-cycle of such pieces of code. Indeed, FaaS providers offer resource auto-provisioning, auto-scaling and pay-per-use billing at no costs for idle time. This makes it easy to scale running code and it represents an effective and increasingly adopted way to deliver software. This article aims at offering an overview of the existing literature in the field of next-gen FaaS from three different perspectives: (i) the definition of FaaS orchestrations, (ii) the execution of FaaS orchestrations in Fog computing environments, and (iii) the security of FaaS orchestrations. Our analysis identify trends and gaps in the literature, paving the way to further research on securing FaaS orchestrations in Fog computing landscapes.

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A Review on Container-Based Lightweight Virtualization for Fog Computing

Cited by 8 publications

References 14 publications

Fog Computing Platforms for Smart City Applications: A Survey

Fog Computing Platforms for Smart City Applications: A Survey

Dynamic Scheduling of Contextually Categorised Internet of Things Services in Fog Computing Environment

Secure FaaS orchestration in the fog: how far are we?

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