“…The model covers an extraction strategy of attributes to achieve reflective features/variables and a prediction strategy based on regression and classifiers with machine learning. Another work [82] provides insights into the role and significance of smartwatches in DC. This work demonstrates the research, evaluation, interpretation and discussion of DC environment smartwatches.…”
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.
“…The model covers an extraction strategy of attributes to achieve reflective features/variables and a prediction strategy based on regression and classifiers with machine learning. Another work [82] provides insights into the role and significance of smartwatches in DC. This work demonstrates the research, evaluation, interpretation and discussion of DC environment smartwatches.…”
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.
“…In [11], three research directions in dew computing are identified: early research, DC capabilities, and DC applications. The studies of DC in Industrial Internet of Things (IIoT) are considered in [12,13]. In [12], the feasibility of IIoT devices as the dew devices is examined.…”
Section: Related Workmentioning
confidence: 99%
“…In [12], the feasibility of IIoT devices as the dew devices is examined. The research, evaluation, analysis, and discussion of smartwatches for the DC environment are shown in [13]. Our research is devoted to scientific computations in DC.…”
Section: Related Workmentioning
confidence: 99%
“…In our previous studies [14], DC technology was used for solving the problem for the parametric synthesis of the stabilizing regulator for controlled dynamic objects in a heterogeneous distributed computing environment. As noted in [11,12,13], this study is referred to the using DC technology in high-performance computing. In the current study, we propose the DC-based UDA providing access for the AMP for solving problems of qualitative analysis and parametric synthesis of BDS based on the Boolean constraint method in a hybrid cloud environment [15].…”
In recent years, research in Dew computing as a new layer in the vertical hierarchy of scalable computing has been developing. Directions for the development of this technology include research into the possibilities of Dew computing and its applications. Our research belongs to the second direction. We use this technology in a package of applied microservices for solving complex problems of the qualitative study of binary dynamic systems based on the Boolean constraint method in a hybrid cloud environment. This environment includes on-premises, high-performance, and cloud resources. In this paper, the usage of Dew computing technology in a hybrid cloud environment is discussed. A user dew agent installed on an on-premises resource is proposed to provide the possibility of the applied microservices package collaboration with cloud services in a hybrid cloud environment. The advantages of using a user dew agent are considered. The architecture, functionality, operation modes, and the installation of the dew agent are presented.
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