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Load balancing strategy for SDN multi-controller clusters based on load prediction
Software-defined networking (SDN) separates the control layer from the data layer, and decisions to manage the network are issued through a...
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Comparative analysis of metaheuristic load balancing algorithms for efficient load balancing in cloud computing
Load balancing is a serious problem in cloud computing that makes it challenging to ensure the proper functioning of services contiguous to the...
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Characteristics of the Power Load Profile and Renewable Energy Generation Variation in China
The reliable operation of the electric power system requires the real-time balance of the electric power supply and demand. With the rapid increase...
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ICLB: intelligent controllers load balancing for software-defined based optical data center networks
In optical data center networks, the utilization of several software-defined network controllers has been implemented to enhance scalability and...
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A two-tier coordinated load balancing strategy over skewed data streams
Load imbalance severely affects cluster performance, and the polarization of resources due to load skewing leads to further worsening of system...
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Measurement and verification of cognitive load in multimedia presentation using an eye tracker
The development of interface designs can reduce extraneous processing for users and increase the effectiveness of multimedia presentations. In this...
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Self-improved algorithm for cloud load balancing under SLA constraints
Because of the remote computing and heterogeneous nature of the infrastructure, load balancing and task scheduling are the most significant...
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Medium-long-term electricity load forecasting based on NSNP systems and attention mechanism
Accurate load forecasting can provide important information support for intelligent operation of power systems, it can assist the power grid to...
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Gorilla troops optimization-based load frequency control in PV-thermal power system
The mismatch between generated power and load demand often leads to undesirable fluctuations in the frequency and tie-line power change of a power...
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Probabilistic load forecasting based on quantile regression parallel CNN and BiGRU networks
In the dynamic smart grid landscape, accurate probabilistic forecasting of electric load is critical. This paper presents a novel 24-hour-ahead...
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SP2LSTM: a patch learning-based electrical load forecasting for container terminal
Short-term electricity load forecasting plays a crucial role in modern container terminal. In this work, we design a short-term forecasting approach...
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A relaxed and faster switch migration framework to balance the load of distributed control plane in software defined networks
By decoupling the data plane and the control plane of networking devices, Software Defined Network (SDN) enables the control plane devices to obtain...
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Secure authentication scheme with Archimedes optimization algorithm for load balancing technique in fog computing
In this paper, to develop an efficient secure authentication scheme and load balancing technique in fog computing. To achieve an efficient secure...
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An efficient firefly and honeybee based load balancing mechanism in cloud infrastructure
Dynamic workloads with varying parameters are delivered to data centers to be scheduled on virtual machines (VMs). These unreliable, inconsistent,...
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Density peaks algorithm based on information entropy and merging strategy for power load curve clustering
To solve the problems of density peaks clustering (DPC) algorithm sensitive to cutoff distance and subjectivity of clustering center selection, we...
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Mobile Terminal-Oriented Real-Time Monitoring Method for Athletes’ Special Training Load
Aiming at the problem of inaccurate training load monitoring results due to the large individual differences of athletes’ special training, a...
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Short-term load forecasting system based on sliding fuzzy granulation and equilibrium optimizer
Short-term electricity load forecasting is critical and challenging for scheduling operations and production planning in modern power management...
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LA-RCNN: Luong attention-recurrent- convolutional neural network for EV charging load prediction
This article explores the domain of accurate Electric Vehicle (EV) charge prediction, a crucial aspect of the energy consumption system. Predicting...
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Is Notable EEG Feature Extracted Over Time-Dependent Cognitive Load Variation During Intelligence Tests?
In this study, we collected electroencephalography (EEG) data during an intelligence test to understand the tendency of neurophysiologic change...
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Examining the effect of augmented reality experience duration on reading comprehension and cognitive load
The purpose of this study is to examine the effect of the duration of students’ augmented reality (AR) experience on reading comprehension and...
