The development and simulation research of load balancing algorithm in network infrastructures

Proceedings of 2014 International Conference on Mechanical Engineering, Automation and Control Systems, MEACS 2014

Volumn , Issue , 2014, Pages

  Botygin, I A ^a   Tartakovsky, V A ^b  

^a NATIONAL RESEARCH TOMSK POLYTECHNIC UNIVERSITY   (Russian Federation)

^b INSTITUTE OF MONITORING OF CLIMATIC AND ECOLOGICAL SYSTEMS   (Russian Federation)

Author keywords

application acceleration; cloud network; distributed computing system; load balancing; multi agent systems; network functions; simulation

Indexed keywords

BALANCING; DISTRIBUTED PARAMETER CONTROL SYSTEMS; MULTI AGENT SYSTEMS; RESOURCE ALLOCATION;

APPLICATION ACCELERATIONS; CLOUD NETWORKS; DISTRIBUTED COMPUTING SYSTEMS; NETWORK FUNCTIONS; SIMULATION;

PROCESS CONTROL;

EID: 84922572889     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/MEACS.2014.6986904     Document Type: Conference Paper

References (4)

1. DNS Support for Load Balancing. Retrieved from: http://tools. ietf. org/html/rfcl794.
2. Muaz Niazi, Amir Hussain Agent-based Computing from Multi-agent Systems to Agent-Based Models: A visual survey. Retrieved from: http://cecosm. yolasite. comlresources/Accepted Scientometrics ABM- Website. pdf
3. Muhlisullina D. T., Moor D. A. Analysis of the eflectiveness of various convolutions of optimality criteria in the problem of multi-criteria optimization. Electronic scientific and technical publication "Science and Education". Retrieved from: http://cactus. stack. netldoc/141623. html
4. About AnyLogic. AnyLogic. Retrieved from: http://www. anylogic. ru/ overview