Minimizing dependency on internetwork: Is dew computing a solution?

Ray, Partha Pratim

doi:10.1002/ett.3496

Cited by 29 publications

(7 citation statements)

References 16 publications

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“…As a feature, Dew computing takes care of determining as to when to use for its services linking with the different layers of the Cloud architecture. It is also important to note that the Dew computing [20] is associated with the distributed computing hierarchy and is integrated by the Fog computing services, which is also evident in Fig. 4.…”

Section: Dew Computingmentioning

confidence: 97%

“…This bottom layer of hierarchical resources organization is known as the Dew layer. The purpose of the Dew layer is to cater for the tasks by exploiting resources near to the end-user with minimum internet access [17,20]. As a feature, Dew computing takes care of determining as to when to use for its services linking with the different layers of the Cloud architecture.…”

Section: Dew Computingmentioning

confidence: 99%

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Information technologies of 21st century and their impact on the society

Yamin

2019

Int. j. inf. tecnol.

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Twenty first century has witnessed emergence of some ground breaking information technologies that have revolutionised our way of life. The revolution began late in 20th century with the arrival of internet in 1995, which has given rise to methods, tools and gadgets having astonishing applications in all academic disciplines and business sectors. In this article we shall provide a design of a 'spider robot' which may be used for efficient cleaning of deadly viruses. In addition, we shall examine some of the emerging technologies which are causing remarkable breakthroughs and improvements which were inconceivable earlier. In particular we shall look at the technologies and tools associated with the Internet of Things (IoT), Blockchain, Artificial Intelligence, Sensor Networks and Social Media. We shall analyse capabilities and business value of these technologies and tools. As we recognise, most technologies, after completing their commercial journey, are utilised by the business world in physical as well as in the virtual marketing environments. We shall also look at the social impact of some of these technologies and tools.

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Section: Dew Computingmentioning

confidence: 97%

Section: Dew Computingmentioning

confidence: 99%

Information technologies of 21st century and their impact on the society

Yamin

2019

Int. j. inf. tecnol.

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“…However, challenges are needed to be discussed to provide future research directions in the DC domain. The study [73,74] and [83,84] covers detailed research challenges of dew.…”

Section: Literature Surveymentioning

confidence: 99%

Software-Defined Dew, Roof, Fog and Cloud (SD-DRFC) Framework for IoT Ecosystem: The Journey, Novel Framework Architecture, Simulation, and Use Cases

2021

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The Internet of Things (IoT) has become one of the most known terms in present times, reaching new levels and setting a trend in the world. Evidently, it is the future of connectivity which has turned physical objects into intelligent objects. Therefore, there has been a growing curiosity in the IoT field and this leads to the concept of IoT ecosystem. But the contemporary fragmented ecosystem of regulations, technologies, and systems slows IoT deployments. Thus, we consider multi-tiered computational infrastructure which would be feasible to provide services from the nearest possible location of end devices. To mitigate multi-tier infrastructure issues, Software-Defined Networking (SDN) steps in. The journey behind SDN-supported multi-tier computational infrastructure can be understood from this paper's elaborate study. Next, a comparative analysis on dew, roof, fog and cloud is conducted and the impact of internet on these computing paradigms is briefly explained. Then a novel framework termed "SD-DRFC (Software-Defined Dew, Roof, Fog and Cloud computing)" is proposed for today's IoT ecosystem. The role and functionality of each tier of SD-DRFC framework are adequately explained. A use case focused on the SD-DRFC framework is then presented and simulated by utilizing iFogSim simulator. To evaluate the efficiency of the presented SD-DRFC framework, four QoS parameters (Latency, Network Usage, Cost, and Energy Consumption) are considered in this paper. When comparing the simulation results, the presented SD-DRFC framework performs much better than cloud-only implementation. The advantages and suitability of utilizing this proposed framework have been demonstrated by multiple use-cases which range from conceptual visions to existing running systems.

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“…Dew servers collaborate with the cloud for performing tasks such as synchronization, restoring and personalization of dew sites content located in dew computing devices. These last are represented by human-operated computers like desktop computers, laptops and mobile devices including tablets and smartphones [6]. Recent conceptualizations of dew computing envisage an enriched functionality for the layer that goes beyond exploiting the storing/communicating capabilities of dew devices.…”

Section: Introductionmentioning

confidence: 99%

“…Recent conceptualizations of dew computing envisage an enriched functionality for the layer that goes beyond exploiting the storing/communicating capabilities of dew devices. In [6], the importance of an active cooperation among nearby dew devices for providing tasks execution services is highlighted. In [10], cooperation of such kinds are proposed for IoT data streams processing.…”

Section: Introductionmentioning

confidence: 99%

Towards Integrating Mobile Devices into Dew Computing: A Model for Hour-Wise Prediction of Energy Availability

et al. 2019

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With self-provisioning of resources as premise, dew computing aims at providing computing services by minimizing the dependency over existing internetwork back-haul. Mobile devices have a huge potential to contribute to this emerging paradigm, not only due to their proximity to the end user, ever growing computing/storage features and pervasiveness, but also due to their capability to render services for several hours, even days, without being plugged to the electricity grid. Nonetheless, misusing the energy of their batteries can discourage owners to offer devices as resource providers in dew computing environments. Arguably, having accurate estimations of remaining battery would help to take better advantage of a device’s computing capabilities. In this paper, we propose a model to estimate mobile devices battery availability by inspecting traces of real mobile device owner’s activity and relevant device state variables. The model includes a feature extraction approach to obtain representative features/variables, and a prediction approach, based on regression models and machine learning classifiers. On average, the accuracy of our approach, measured with the mean squared error metric, overpasses the one obtained by a related work. Prediction experiments at five hours ahead are performed over activity logs of 23 mobile users across several months.

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Minimizing dependency on internetwork: Is dew computing a solution?

Cited by 29 publications

References 16 publications

Information technologies of 21st century and their impact on the society

Information technologies of 21st century and their impact on the society

Software-Defined Dew, Roof, Fog and Cloud (SD-DRFC) Framework for IoT Ecosystem: The Journey, Novel Framework Architecture, Simulation, and Use Cases

Towards Integrating Mobile Devices into Dew Computing: A Model for Hour-Wise Prediction of Energy Availability

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