Collaborative Working Architecture for IoT-Based Applications

Mora, Higinio; Pont, María Teresa Signes; Gil, David; Johnsson, Magnus

doi:10.3390/s18061676

Cited by 23 publications

(21 citation statements)

References 65 publications

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“…As overview of the MCC proposals, they aim to carry out a collaborative work for distributing the processing load and meeting the application requirements [20,21]. In most cases, these applications have special features and are high demanding of computing resources such as multimedia analysis [22], high volume of data [23], or real-time constraint [4].…”

Section: Related Workmentioning

confidence: 99%

Multilayer Architecture Model for Mobile Cloud Computing Paradigm

et al. 2019

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Mobile Cloud Computing is one of today's more disruptive paradigms of computation due to its effects on the performance of mobile computing and the development of Internet of Things. It is able to enhance the capabilities of devices by outsourcing the workload to external computing platforms deployed along the network, such as cloud servers, cloudlets, or other edge platforms. The research described in this work presents a computational model of a multilayer architecture for increasing the performance of devices using the Mobile Cloud Computing paradigm. The main novelty of this work lies in defining a comprehensive model where all the available computing platforms along the network layers are involved to perform the outsourcing of the application workload. This proposal provides a generalization of the Mobile Cloud Computing paradigm which allows handling the complexity of scheduling tasks in such complex scenarios. The behaviour of the model and its ability of generalization of the paradigm are exemplified through simulations. The results show higher flexibility for making offloading decisions.

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Section: Related Workmentioning

confidence: 99%

Multilayer Architecture Model for Mobile Cloud Computing Paradigm

et al. 2019

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“…In general, the majority of the browsed and reviewed literature has been rejected for further consideration because they usually only mention in one sentence in the introduction section how the IoT or web QoE can improve a user's QoL in some form of smart context lacking deeper consideration of those influences [34][35][36][37][38].…”

Section: Impact Of Qoe On Qolmentioning

confidence: 99%

Quality of Life, Quality of Experience, and Security Perception in Web of Things: An Overview of Research Opportunities

et al. 2020

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The Web of Things (WoT) is a technology concept that allows the integration of the Internet of Things (IoT) with the World Wide Web (WWW). It will vastly affect our lives in the near future given that it offers new services and applications via the well-known web window. In todays’ world where one can hardly imagine everyday life without access to various online services and applications via a plethora of devices, one can notice that technology has a huge impact on our day-to-day quality of living. That is why a user’s Quality of Experience (QoE) towards used technology in general plays a crucial role in their Quality of Life (QoL). Furthermore, security perception in terms of technology is the feature that vastly affects QoE and, consequently, QoL, as the number of security and privacy threats, risks, and vulnerabilities in cyber space, i.e., the technology environment that we increasingly use, is constantly rising. In order to reach the ultimate goals—the adoption of WoT technology and improvement of our QoL—we must know how this important aspect of security is so far addressed and analyzed. Therefore, this paper gives a comprehensive and structured analysis of the existing literature in this field through a proposed framework and provides an overview of research opportunities that should be addressed and elaborated in future investigations.

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“…In this way, no raw data need to be communicated to remote servers. Instead, only the useful and relevant information is centralised to make smart decisions [20,21]. In addition, deploying the firstlevel intelligence closer to the sensors produces an increase in the overall energy efficiency and significantly reduces the communication needs of many IoT applications.…”

Section: Localmentioning

confidence: 99%

“…Edge Computing: Vision and Challenges [34] Challenges and opportunities in the field of edge computing are described. Collaborative Working Architecture for IoT-Based Applications [20] Network design, which combines sensing and processing capabilities based on the MCC paradigm.…”

Section: (B) Edge Computingmentioning

confidence: 99%

Review of the Complexity of Managing Big Data of the Internet of Things

et al. 2019

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There is a growing awareness that the complexity of managing Big Data is one of the main challenges in the developing field of the Internet of Things (IoT). Complexity arises from several aspects of the Big Data life cycle, such as gathering data, storing them onto cloud servers, cleaning and integrating the data, a process involving the last advances in ontologies, such as Extensible Markup Language (XML) and Resource Description Framework (RDF), and the application of machine learning methods to carry out classifications, predictions, and visualizations. In this review, the state of the art of all the aforementioned aspects of Big Data in the context of the Internet of Things is exposed. The most novel technologies in machine learning, deep learning, and data mining on Big Data are discussed as well. Finally, we also point the reader to the state-of-the-art literature for further in-depth studies, and we present the major trends for the future.

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Collaborative Working Architecture for IoT-Based Applications

Cited by 23 publications

References 65 publications

Multilayer Architecture Model for Mobile Cloud Computing Paradigm

Multilayer Architecture Model for Mobile Cloud Computing Paradigm

Quality of Life, Quality of Experience, and Security Perception in Web of Things: An Overview of Research Opportunities

Review of the Complexity of Managing Big Data of the Internet of Things

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