Supportive particle swarm optimization with time-conscious scheduling (SPSO-TCS) algorithm in cloud computing for optimized load balancing

• DOI: 10.1016/j.ijcce.2024.05.002
• Publication Date: 2024-05-16T17:59:59Z
• Authors: M. Menaka; K.S. Sendhil Kumar
• Keywords: Minification; Energy minimization

Task scheduling for virtual machines (VMs) has shown to be essential the effective development of cloud computing at lowest cost and fastest turnaround time. A number research gaps about job schedule optimization are included in current paper. thorough analysis data generated by this activity is resolving resource allocation mechanism architecture. To fully utilize with a similar weight distribution, strategy-oriented mixed support load balancing structure been developed work. minimize make-span time accomplish initial balancing, SPSO-TCS technique combines Time-Conscious Scheduling Supportive Particle Swarm Optimization. Finding optimal make span minimization each environment aim stage. Its main objective discover sequence activities least computation reduce required finish operation. Utilizing hybrid idea leads decrease makespan use amount energy.