000			a
999			_c22722 _d22722
003			OSt
005			20250425104513.0
008			250425b xxu||||| |||| 00| 0 eng d
040			_aAIKTC-KRRC _cAIKTC-KRRC
100			_925998 _aGowrishankar, R.
245			_aSwarm intelligence approach for load balancing in distributed computing systems using firefly algorithm
250			_aVol.14(4), Apr
260			_aChennai _bICT Academy _c2024
300			_a3323-3327p.
520			_aLoad balancing in distributed computing systems is crucial for optimal resource utilization and performance enhancement. Swarm intelligence algorithms offer promising solutions due to their ability to mimic collective behavior observed in nature. This study proposes a novel approach for load balancing using the Firefly Algorithm, a bio- inspired optimization technique based on the flashing behavior of fireflies. The algorithm is applied to dynamically distribute tasks among nodes in a distributed computing environment. The contribution lies in adapting the Firefly Algorithm specifically for load balancing purposes in distributed computing systems. The study explores the effectiveness of this approach in improving system performance and resource utilization. Experimental evaluations demonstrate the efficacy of the proposed approach in achieving load balancing objectives. The Firefly Algorithm effectively redistributes tasks among nodes, reducing processing delays and improving overall system efficiency. Comparative analysis against existing methods showcases the superiority of the proposed approach in various performance metrics.
650		0	_94622 _aComputer Engineering
700			_925999 _aSenthilkumar, B.
773	0		_dChennai ICT Academy _tICTACT Journal on Soft Computing (IJSC)
856			_uhttps://ictactjournals.in/paper/IJSC_Vol_14_Iss_4_Paper_3_3323_3327.pdf _yClick here
942			_2ddc _cAR