scholarly journals Optimal Load Balancing Algorithm for Multi-Cell LTE Networks

2014 ◽  
Vol 2 (2) ◽  
pp. 23
Author(s):  
Jian Li
Keyword(s):  
Load Balancing ◽  
Lte Networks ◽  
Optimal Load ◽  
Load Balancing Algorithm

scholarly journals METHOD FOR ORGANIZING MULTIPATH ROUTING IN SDN NETWORKS

2019 ◽  
pp. 18-28
Author(s):  
Oleksandr Kaliuzhnyi
Keyword(s):  
Comparative Analysis ◽  
Load Balancing ◽  
Routing Algorithm ◽  
Multipath Routing ◽  
Network Resources ◽  
Equal Distribution ◽  
Network Load ◽  
Optimal Load ◽  
Routing Method ◽  
Load Balancing Algorithm

In this work we propose a method for organizing multipath routing for SDN networks. It have two main parts. The fisrt one is a routing method based on modified wave algorithm for finding paths, and second one is load balancing method based on ECMP algorithm. Combination of these methods can optimize using of network resources and provide a more optimal load balancing of network. The basis of routing algorithm is the search and use partially-overlapping routes. The basis of load balancing algorithm is equal distribution network load between all found routes. A comparative analysis with an existing algorithms for routing and load balancing was conducted and the advantages of this development are presented.

On a Way to the Self-Optimizing LTE Networks

2014 ◽  
Vol 618 ◽  
pp. 538-542
Author(s):  
Albert Asmaryan ◽  
Irina Borovik
Keyword(s):  
Load Balancing ◽  
Mobile Communication ◽  
Bit Error Rate ◽  
Figure Of Merit ◽  
Signal To Noise Ratio ◽  
Ratio Distribution ◽  
Lte Networks ◽  
Term Evolution ◽  
Load Balancing Algorithm

Main achievements in load balancing algorithm in a long-term-evolution (LTE) mobile communication system are presented. As result a self-optimizing system, that could be implement in the real networks. Basic target functions, such as the signal-to-noise ratio distribution, bit error rate, energy efficiency are derived as a figure of merit. The framework is exemplified by basic investigations on load balancing technology.

scholarly journals Enhancing the e-learning system based on a novel tasks’ classification load-balancing algorithm

2021 ◽  
Vol 7 ◽  
pp. e669
Author(s):  
Ayman E. Khedr ◽  
Amira M. Idrees ◽  
Rashed Salem
Keyword(s):  
Load Balancing ◽  
System Performance ◽  
Load Distribution ◽  
Simulation Experiment ◽  
Learning System ◽  
Key Factors ◽  
Optimal Load ◽  
E Learning ◽  
Load Balancing Algorithm ◽  
Educational Field

In the educational field, the system performance, as well as the stakeholders’ satisfaction, are considered a bottleneck in the e-learning system due to the high number of users who are represented in the educational system’s stakeholders including instructors and students. On the other hand, successful resource utilization in cloud systems is one of the key factors for increasing system performance which is strongly related to the ability for the optimal load distribution. In this study, a novel load-balancing algorithm is proposed. The proposed algorithm aims to optimize the educational system’s performance and, consequently, the users’ satisfaction in the educational field represented by the students. The proposed enhancement in the e-learning system has been evaluated by two methods, first, a simulation experiment for confirming the applicability of the proposed algorithm. Then a real-case experiment has been applied to the e-learning system at Helwan University. The results revealed the advantages of the proposed algorithm over other well-known load balancing algorithms. A questionnaire was also developed to measure the users’ satisfaction with the system’s performance. A total of 3,670 thousand out of 5,000 students have responded, and the results have revealed a satisfaction percentage of 95.4% in the e-learning field represented by the students.

The predicted load balancing algorithm based on the dynamic exponential smoothing

Open Physics ◽  
2020 ◽  
Vol 18 (1) ◽  
pp. 439-447
Author(s):  
Lijie Yan ◽  
Xudong Liu
Keyword(s):  
Time Series ◽  
Load Balancing ◽  
Exponential Smoothing ◽  
Load Prediction ◽  
The Common ◽  
Load Balancing Algorithm ◽  
Balancing Efficiency

AbstractTo a large extent, the load balancing algorithm affects the clustering performance of the computer. This paper illustrated the common load balancing algorithms and elaborated on the advantages and drawbacks of such algorithms. In addition, this paper provides a kind of balancing algorithm generated on the basis of the load prediction. Due to the dynamic exponential smoothing model, such an algorithm helps obtain the corresponding smoothing coefficient with the server node load time series of current phrase and allows researchers to make prediction with the load value at the next moment of this node. Subsequently, the dispatcher makes the scheduling with the serve request of users according to the load predicted value. OPNET Internet simulated software is applied to the test, and we may conclude from the results that the application of such an algorithm acquires a higher load balancing efficiency and better load balancing effect.

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