scholarly journals ScD of Computer Science. Load balancing method in SDN networks based on ACS with improved dynamic resiliency

2021 ◽  
pp. 6-19
Author(s):  
Vadym Shchur ◽  
Yuriy Kulakov
Keyword(s):  
Distributed Computing ◽  
Load Balancing ◽  
Computer Science ◽  
Acceptable Level ◽  
Practical Significance ◽  
Topical Issue ◽  
Uniform Load ◽  
Distributed Computing Systems ◽  
Computing Systems ◽  
Confidence Factor

The article discusses the topical issue of load balancing in distributed computing systems. The analysis of existing solutions is carried out, tasks, problems and practical significance are determined. An improved balancing method using the checkpoint method and an additional confidence factor is proposed, which made it possible to ensure a uniform load on the controllers, while maintaining an acceptable level of efficiency. An assessment of the performance and comparison of the proposed method with existing methods is carried out, as well as steps for further research are indicated.

scholarly journals Particle Swarm Optimization for Load Balancing in Distributed Computing Systems – A Survey

2021 ◽  
Vol 12 (1S) ◽  
pp. 257-265
Author(s):  
Vidya S. Handur, Et. al.
Keyword(s):  
Particle Swarm Optimization ◽  
Distributed Computing ◽  
Load Balancing ◽  
Particle Swarm ◽  
Optimal Solution ◽  
Computing System ◽  
Optimization Approach ◽  
Distributed Computing Systems ◽  
Computing Systems ◽  
Swarm Optimization

Development of technology like Cloud Computing and its widespread usage has given rise to exponential increase in the volume of traffic. With this increase in huge traffic the resources in the network would either be insufficient to handle the traffic or the situation may cause some of the resources to be over utilized or underutilized. This condition leads to reduced performance of the system. To improve the performance of the system the traffic requires to be regulated such that all the resources are utilized conferring to their capacity which is known as load balancing. Load balancing has been one of the concerns in the distributed computing systems where the computing nodes do not have a global view of the network. There have been constant efforts to provide an efficient solution for load balancing through the approaches like game theory, fuzzy logic, heuristics and metaheuristics. Even though various solutions exist for balancing the load, the issue is challenging as there does not exist one best fit solution. The paper aims at the study of how Particle Swarm Optimization approach is used to achieve an optimal solution for load balancing in distributed computing system.

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