Adaptive Proximate Computing Framework for Mobile Resource Augmentation

Anitha, Subbarayan; Padma, T.

doi:10.1007/s11036-019-01278-8

Cited by 5 publications

(4 citation statements)

References 13 publications

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“…In addition to the functions available for connecting IoT devices, it also composes its web service, a selected palette of sensors and actuators, which can be applied according to the programming logic for the appropriate events. Each node can be interconnected with others to generate applications of different purposes with visually rich elements that generate conversion to machine language that will be executed (XIAO et al, 2019;ANITHA, 2020;PADMA, 2019).…”

Section: Node-redmentioning

confidence: 99%

Accessibility of the node-red iot framework: an integrative review

Piana

Júnior

Gonçalves

2022

e-TECH

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Industry 4.0 technologies are rising in the international market, especially the Internet of Things, better known as IoT (Internet of Things). The demand for software development for IoT technologies is also growing. Considering that human beings have several disabilities and specific needs, including among the professionals who can develop and deploy the technology, this work aimed tounderstand if there is accessibility in the IoT framework Node-Red®. To do so, an integrative literature review evaluated the use of the Node-Red framework®. We observed how the researchers applied the technologies and if there is accessibility and adequacy to the W3C (World Wide Web Consortium) rules since the W3C regulates ideal software development standards, including those of accessibility. With the analysis, it was possible to evidence that there are simple movements in favor of User Experience (UX) and accessibility in a generic way in several scenarios, from home use, business, industry, and health. The search results were demonstrated through data categorization, synthesis matrix, and descriptive analysis. The knowledge discussion and synthesis pointed out the contribution points of each paper and the literature gaps on accessibility for an IoT framework. Our findings showed that each paper contributed to this discussion and argued that even though there are no significant limitations pointed out by the authors reviewed for IoT implementation and accessibility, and they also discussed little or nothing about accessibility and W3C standards in their papers.

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Section: Node-redmentioning

confidence: 99%

Accessibility of the node-red iot framework: an integrative review

Piana

Júnior

Gonçalves

2022

e-TECH

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“…[13][14][15] Any number of frameworks can be derived from this proposed abstract model to augment the limited resources of the mobile device. Already, we have successfully implemented three frameworks [16][17][18]…”

Section: Introductionmentioning

confidence: 99%

“…Any number of frameworks can be derived from this proposed abstract model to augment the limited resources of the mobile device. Already, we have successfully implemented three frameworks 16–18 by inheriting this generic architecture. The proposed work enhances mobile communication by providing seamless service to mobile users without bothering their device configurations and also advocates the mobile application developers to design and deploy resource‐rich and intelligent mobile applications.…”

Section: Introductionmentioning

confidence: 99%

A generic resource augmentation architecture for efficient mobile communication

Anitha

Padma²,

Vallimayil

2023

Concurrency and Computation

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SummaryMobile devices play a vital role in people's day‐to‐day activities and are essential for communication, accessing Internet resources, entertainment, and so forth. In most cases, the performance of mobile applications is restricted due to the inadequate resources of mobile specifications such as controlled battery power, predetermined storage, and limited processing competence. Thus to improve the processing efficiency of resource‐constrained mobile devices, this research proposes a model developed on offloading technique based on the recent literature observations which transfer the resource‐consuming tasks from mobile devices to proximate computing entities. This generic architecture aiming for resource augmentation is formulated with five fundamental components including a mobile device, offloading engine, resource augmentation engine, scheduler, and synchronizer. The offloading engine identifies the resource‐intensive tasks that need to be executed on external entities using soft computing techniques such as neural network training algorithms, fuzzy logic, and neuro‐fuzzy logic processing. The augmentation engine chooses feasible edge computing entities such as Arduino, Raspberry PI controller, and fog devices. The scheduler prioritizes the resource‐consuming tasks for offloading based on their importance. The synchronizer coordinates all the central components by updating the execution status of tasks at regular intervals of time. Further extension of this research work, based on the proposed architecture three resource augmentation frameworks are developed namely (a) an adaptive proximate computing framework (b) a web service‐based IoT framework, and (c) a neuro‐fuzzy hybrid framework. Moreover, these frameworks are realized through the development of resource‐efficient intelligent edge computing IoT mobile apps namely (a) an inventory monitoring app (b) a lecture recording app, and (c) an intelligent transport app. The performance of these three resource augmentation frameworks is analyzed through the simulation results and it illustrates that the neuro‐fuzzy hybrid framework outperforms the other two. The outcome of the proposed research contributions improves the effectiveness of mobile communication by providing seamless services to mobile users regardless of their resource‐limited devices. Besides the devised edge computing architecture supports mobile application developers in the design and deployment of resource‐rich mobile applications in low‐specification mobile devices. Also, there is a strong scope for implementing the proposed generic architecture as an industrial smart product with adequate hardware and software configurations.

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“…The required execution task can be treated with local processors and the cloud which are combined to provide multiple ways of application execution for mobile. A sophisticated decision model was developed in [28]. Depending on the hierarchical structure and the elementary decision model which face the offloading challenges in edge computing by using online scheduling to deal with the requests.…”

mentioning

confidence: 99%

Power consumption and energy management for edge computing: state of the art

Abdoulabbas

Mahmoud

2023

TELKOMNIKA

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Edge computing aims to make internet-based services and remote computing power close to the user by placing information technology (IT) infrastructure at the network edges. This proximity provides data centers with low-latency and context-aware services. Edge computing power consumption is mainly caused by data centers, network equipment, and user equipment. With edge computing (EC), energy management platforms for residential, industrial, and commercial sectors are built. Energy efficiency is considered to be one of the key aspects of edge power constraints. This paper provides the state of the art of power consumption and energy management for edge computing, the computation offloading methods, and more important highlights the power efficiency of edge computing systems. Furthermore, renewable energy and related concepts will also be explored and presented since no human participation is required in replacing or recharging batteries when using such energy sources. Based on such study, a recommendation is to develop a dynamic system for energy management in real-time with the assessment of local renewable energy so that the system be reliable with minimum power consumption. Also, regarding energy management, we recommend providing backup energy sources (or using more than one energy source) or (a hybrid technique).

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Adaptive Proximate Computing Framework for Mobile Resource Augmentation

Cited by 5 publications

References 13 publications

Accessibility of the node-red iot framework: an integrative review

Accessibility of the node-red iot framework: an integrative review

A generic resource augmentation architecture for efficient mobile communication

Power consumption and energy management for edge computing: state of the art

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