Indirect tyre pressure monitoring system (ITPMS) can effectively reduce tyre blowouts risk and enhance high-speed vehicle operation safety, gradually emerging as a rapidly popular-ized on-board electronic control safe...
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Social recognition, the ability to differentiate between familiar and unfamiliar individuals, is crucial for animals' survival and reproduction. Neuroscience research has predominantly focused on investigating the...
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Withthe increasing progress and maturity of cloud computingtechnology, the integration of cloud computingtechnology with smart energy management is becoming increasingly close. the regional energy management and in...
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Due to the problems of poor scalability, difficult experimental evaluation, and the lack of teaching data analysis and collaborative sharing in traditional experimental teaching platforms, this paper designs an intera...
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this paper proposes a fog computing assisted zero-trust smart grid terminal security protection mechanism. Specifically, the fog computing nodes are deployed around the terminal devices to relieve the computing pressu...
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Heterogeneous computing systems have been extensively applied in recent years due to their ability to greatly enhance the computation capability of parallel applications. While this kind of system can greatly increase...
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ISBN:
(纸本)9789819756742;9789819756759
Heterogeneous computing systems have been extensively applied in recent years due to their ability to greatly enhance the computation capability of parallel applications. While this kind of system can greatly increase the computation capability of parallel applications, it is usually constrained by energy cost. therefore, to achieve a tradeoff between computing ability and energy cost, the optimization of the schedule length under the constraint of energy cost has been paid more and more attention. In this paper, a subtasks-aware task scheduling strategy is proposed, and wedefined the concepts of subtasks execution time ratio (SER) and subtask impact factor (SIF) to allocate energy of tasks reasonably. Specifically, the computational load of all subtasks of each task in the application is considered as an influence on the performance of the algorithm. Concurrently, to minimize the makespan of applications and make the allocation of energy more equitable, this paper presents a new method of pre-distribution of weighted energy. Our experimental results show that this method is effective in reducing the scheduling length under energy cost limits in parallel applications.
Soon after the proliferation of User-Equipments (UEs) that work with cloud computing, there was an explosion in the volume of generated data. Furthermore, emerging IoT applications, e.g. virtual reality, augmented rea...
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distributed Effect Evaluation Algorithm of the computer English online platform based on Hibernate Task-based Data Architecture is studied in this paper. the image file generated by the CIAB method does not store the ...
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Digital technologies have been increasingly applied to support the 17 Sustainable Development Goals (SDGs), which address global challenges, including poverty, inequality, and climate change. Edge computing is a rapid...
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ISBN:
(纸本)9783031411373;9783031411380
Digital technologies have been increasingly applied to support the 17 Sustainable Development Goals (SDGs), which address global challenges, including poverty, inequality, and climate change. Edge computing is a rapidly developing digital technology with widespread use, primarily for applications that produce massive amounts of data and require real-time data analysis. this paper examines the potential of edge computing and how it can help achieve the SDGs and advance several development areas. We reviewed the case studies previously published in the literature. A total of 92 primary studies were analyzed, and the cases in those studies were organized based on the various development sectors/industries and use cases and mapped to sustainable development goals. We also identified other emerging technologies that have been cooperatively applied and integrated with edge computingtechnology. Our findings reveal that transportation is the most prominent development sector adopting edge computing, and we discuss the potential challenges and opportunities associated with edge computing adoption by taking an intelligent transportation system use case as an example. this study aims to guide researchers and policymakers seeking to understand the edge computing paradigm in the context of sustainable development.
In an industrial Internet with clear hierarchical division like China’s digital grid, real-time and fast intelligent decision-making for power production control at the local field level can be supported by cloud-edg...
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