A New Load Balancing Scheduling Algorithm Based on Linux Virtual Server

Zhang, Mengna; Yu, Hongyang

doi:10.1109/csa.2013.177

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High-concurrency Web Systems1

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Cited by 4 publications

(2 citation statements)

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“…There are many packet-forwarding mechanisms in the layer-4 dispatcher, such as Network Address Translation (NAT) and IP Tunneling [14]. Currently NAT and IP Tunneling techniques can be integrated into the Linux kernel through the Linux Virtual Server (LVS) Project [15].…”

Section: High-concurrency Web Systemsmentioning

confidence: 99%

Design and Evaluation of a High-concurrency Web Map Tile Service Framework on a High Performance Cluster

Cheng¹,

Guan²

2016

IJGDC

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Section: High-concurrency Web Systemsmentioning

confidence: 99%

Design and Evaluation of a High-concurrency Web Map Tile Service Framework on a High Performance Cluster

Cheng¹,

Guan²

2016

IJGDC

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show abstract

“…However, the Wavelet Decomposition method is sensitive to the selection of threshold and the Empirical Mode Decomposition method suffers from an intrinsic drawback that the frequent appearance of mode mixing. Fortunately, an improved technique named Ensemble Empirical Mode Decomposition (EEMD) has been proposed and it can make up for the deficiency of EMD [7].…”

Section: Introductionmentioning

confidence: 99%

Improving Forecasting Accuracy of Annual Runoff Time Series Using RBFN Based on EEMD Decomposition

Ma¹,

Li²

2017

dtetr

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Annual runoff forecasting is one of the most important applications for effective reservoir management. Given the time-varying and non-linear characteristics of river runoff data, a novel hybrid model is proposed to improve the forecasting accuracy. First, the original data of runoff is decomposed into a number of intrinsic mode functions (IMFs) and one residual term using the ensemble empirical mode decomposition (EEMD) method. Then, these sub-series are modeled respectively by radial basis function network (RBFN) model. Finally, the prediction results of the modeled IMFs and residual series are summed to formulate an ensemble forecast for the original annual runoff time series. The proposed hybrid model is examined by predicting the annual runoff of Maduwang station in Bahe River, China. The comparison results indicate that the proposed hybrid model can effectively enhance RBFN approach for annual runoff series forecasting accuracy and it is superior to the commonly used model like auto-regressive integrated moving average (ARIMA) and back-propagation network (BPNN).

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Value-Based Local Connection Scheduling Algorithm for Distributed Video Transcoding System

Zhong

Liu

et al. 2018

2018 14th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery (ICNC-FSKD)

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A New Load Balancing Scheduling Algorithm Based on Linux Virtual Server

Cited by 4 publications

References 3 publications

Design and Evaluation of a High-concurrency Web Map Tile Service Framework on a High Performance Cluster

Design and Evaluation of a High-concurrency Web Map Tile Service Framework on a High Performance Cluster

Improving Forecasting Accuracy of Annual Runoff Time Series Using RBFN Based on EEMD Decomposition

Value-Based Local Connection Scheduling Algorithm for Distributed Video Transcoding System

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