Microgrids are becoming more and more significant as the electric energy industry expands into distributed power in recent years. Power quality (PQ) was quite impacted through the incorporation of renewable energy sou...
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Power Internet of Things(PIot) has absorbed edge computing technology, reducing the computing pressure of cloud service centers and providing intelligent services for edge devices through edge server. Due to the compu...
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ISBN:
(纸本)9798400717048
Power Internet of Things(PIot) has absorbed edge computing technology, reducing the computing pressure of cloud service centers and providing intelligent services for edge devices through edge server. Due to the computing resources constraints,unattended and widely distributed of end devices,attacks on edge devices and edge servers are becoming more ***-based encryption can provide a higher level of protection for the edge computing model and a more flexible operation relationship. In the current attribute-based encryption scheme, the attributes assigned by the cloud server to the edge device are not authenticated, which may lead to the situation that the assigned attributes are stolen. we propose an identity authentication scheme that can authenticate for attributes. The scheme realizes mutual authentication between edge devices and edge servers. It combines attributes and ID to authenticate, thereby avoiding the misuse of attributes. This scheme can provide higher security without affecting the efficiency.
Function-as-a-Service (FaaS) has emerged as a revolutionary service platform, abstracting the complexities of hardware, operating systems, and web hosting services. This allows developers to focus solely on implementi...
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High-performance serverless computing has garnered significant attention. Researchers have developed numerous optimization strategies for serverless frameworks to fully leverage the benefits of serverless computing. H...
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With the expansion of the use scope of electric power equipment, the prevention and control of electrical fire is becoming more and more important. Traditional electrofire detection methods have some problems of trigg...
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Sparse matrix reordering is an important step in Cholesky decomposition. By reordering the rows and columns of the matrix, the time of computation and storage cost can be greatly reduced. With the proposal of various ...
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ISBN:
(纸本)9798350359329;9798350359312
Sparse matrix reordering is an important step in Cholesky decomposition. By reordering the rows and columns of the matrix, the time of computation and storage cost can be greatly reduced. With the proposal of various reordering algorithms, the selection of suitable reordering methods for various matrices has become an important research topic. In this paper, we propose a method to predict the optimal reordering method by visualizing sparse matrices in chunks in a parallel manner and feeding them into a deep convolutional neural network. The results show that the theoretical performance can reach 95% of the optimal performance, the prediction accuracy of the method can reach up to 85%, the parallel framework achieves an average speedup ratio of 11.35 times over the serial framework, and the performance is greatly improved compared with the traversal selection method on large sparse matrices.
Motivated by a wide range of applications from parallelcomputing to distributed learning, we study distributed online load balancing among multiple workers. We aim to minimize the pointwise maximum over the workers&#...
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ISBN:
(纸本)9798350339864
Motivated by a wide range of applications from parallelcomputing to distributed learning, we study distributed online load balancing among multiple workers. We aim to minimize the pointwise maximum over the workers' local cost functions. We propose a novel algorithm termed distributed Online Load Balancing with rIsk-averse assistancE (DOLBIE), which jointly considers the worker heterogeneity and system dynamics. The workload is distributed to workers in an online manner, where the underloaded workers learn to provide an appropriate amount of assistance to the most overloaded worker for the next online round without making themselves overwhelmed. In DOLBIE, all workers participate in updating the workload simultaneously, and no computationally intensive gradient or projection calculation is required. DOLBIE can be implemented in both the master-worker and fully-distributed architectures. We analyze the worst-case performance of DOLBIE by deriving an upper bound on its dynamic regret. We further demonstrate the application of DOLBIE to online batch-size tuning in distributed machine learning. Our experimental results show that, in comparison with state-of-the-art alternatives, DOLBIE can substantially speed up the training process and reduce the workers' idle time.
The purpose is to ensure the big data acquisition of parallel battery back state, and the safe and effective operation of the energy management system. Edge devices are combined with cloud computing to achieve a big d...
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The purpose is to ensure the big data acquisition of parallel battery back state, and the safe and effective operation of the energy management system. Edge devices are combined with cloud computing to achieve a big data acquisition and processing model based on the edge computing, which makes the speed of the big data acquisition of parallel battery back state faster, and avoids data fitting. The algorithm is optimised based on the combination of the Lyapunov method and the distributed method of ADMM (Alternating Direction Multipliers Method). The optimised edge computing improves the performance of the energy management system of parallel battery back state. The experimental results show that the two methods can effectively avoid the fitting phenomenon of data acquisition, and the distributed method can simplify the complexity of data processing and make the energy management system consume minimum energy. The big data acquisition speed of parallel battery back state based on the improved edge computing is faster, and the battery energy management is more effective, which has enormous significance for enlarging the application of parallel battery.
Escalating global power(energy) demands and the need to avail it in a reliable, efficient manner has led to the modernization of legacy and current power system grids into Smart grid (SGs) equivalents his article prop...
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In recent years, with the progress of distributed photovoltaic technology and the reduction of costs, the installed scale of distributed photovoltaic has grown rapidly. Due to the high average photovoltaic permeabilit...
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