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... The dew computing monitoring layer works by simulating a corresponding dew server, which could be a standalone intelligent home processing and communication box or a mobile smartphone [35][36][37][38]. ...
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Modern wireless and mobile solutions are frequently referred to as the Internet of Things (IoT) applications. The development of cloud-based systems and technological advancements give rise to the concept of a networked, Internet-based, distributed processing site-based world. This paper explains the dew environment analysis and monitoring to ensure sustainability. This approach also discusses sustainable IoT solutions and provides an overview of the dew server’s organizational and operational structure. We outline the objectives, specifications, and performance of dew servers, another computational layer in the cloud-based architecture for Sustainable IoT solutions. The dew servers are examined rigorously from an operational and performance perspective as systems that, in addition to communicating with higher-level cloud servers, gather, process, and offload streaming data from IoT sensors and devices.
... In an article, the organized and conceptual approach of hierarchical relationships has been structured among three computational paradigms as cloud, fog, and dew, where the dew computing layer has been introduced as a ground-level layer of fog and cloud computing architecture (Skala et al. 2015). An information privacy issue has been proposed in the open cloud-dew architecture (Patel and Suthar 2017). In another contribution, a cloud computing-based multi-agent paradigm has been implemented for providing medical services using a neural network where the personalized web-resource has been taken into consideration for reducing large data amounts processing through the cloud (Axak et al. 2018). ...
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Internet of Things is a promising paradigm that integrates a plethora of heterogeneous computational devices, incorporating the crowd, frameworks, additional system elements, and infrastructure. Information sensing, modeling, retrieval, and distribution perform an emerging role in the Internet of Things network. Dew computing is a challenging research issue, which needs to demonstrate its impact on the sensor data in the domain of parallel and distributed computing. We have presented a dew-cloud computing-based music crowdsourcing framework in this paper, to address the dew computing effectiveness in the context of the Internet of Things. The crowdsourcing paradigms are efficient to collect and analyze billions of information efficiently with a diminutive cost. In this promising paradigm, participated sound sensing devices sense acoustic information from the environment; transmit the sensor data to fog computing devices through dew repository, and eventually, cloud data center stores the processed data for providing aggregated musical information and relevant services to the end-users. This paper presents a Dew-Cloud based music crowdsourcing framework in the ambiance of the Internet of Things. We have illustrated a semantic mathematical background for the proposed crowdsourcing-based Internet of Music Things architecture in the dew-cloud computing framework. We have also discussed the system performance metrics, in terms of information transmission time, service latency, and energy dissipation in this endeavor. We have additionally illustrated a comparative analysis between the proposed paradigm and the conventional cloud computing schema in terms of data transmission time and overall system energy dissipation. The goal of this paper is to conceptualize, how the end-users can be benefitted from data analytics through data sensing, computing, and distributed scenario using a dew-cloud computational framework in the Internet of Things environment.
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Blockchain after its discovery and application to bitcoin has become a vital platform for data validation and verification across diverse sectors such as healthcare, supply chain, governance, and many others. The era of cloud computing has facilitated the access of one's data on the go making it almost impossible to lose data as your work. However, the use of the cloud demands constant aces to the internet warranting the relevance of the dew computing paradigm with terms to give access to one's data locally without the use of the internet and then updating the document on the cloud based on the internet restoration. In this paper, we seek to conduct a review of the above areas of blockchain and dew computing drawing the need for the integration of both technologies. Keywords-blockchain, cloud computing, dew computing, public blockchain, private blockchain, proof of work, proof of stake, depreciated proof of stake.
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This chapter presents several aspects regarding IoT (Internet of Things) and communication technology synergies for remote services in healthcare for patients with higher risks that justify remote monitoring. According to STATISTICA studies, today there are around 26.66 billion IoT connected devices, and by 2025, the installed base of the IoT devices is forecasted to grow to almost 75.44 billion worldwide, while 25% of cyberattacks will be targeting IoT devices. In the new context of personalized medicine, a series of scenarios for the use of communications services based on 5G and IoT are emerging, taking into account the risks for data security that appears in the case of these applications. Between security and high-power computing, there is a robust direct correlation, which means that low-power computing could generate inherent cybersecurity risks.