Cloud Computing Considering Both Energy and Time Solved by Two-Objective Simplified Swarm Optimization

Cloud computing is an operation carried out via networks to provide resources and information end users according their demands. The job scheduling in cloud computing, which distributed across numerous for large-scale calculation resolves the value, accessibility, reliability, capability of important because high development technology many layers application. An extended revised study was developed our last work, titled “Multi Objective Scheduling Computing Using Multi-Objective Simplified Swarm Optimization MOSSO” IEEE CEC 2018. More new algorithms, testing, comparisons have been implemented solve bi-objective time-constrained task problem a more efficient manner. with objectives including energy consumption time, solved by newer algorithm this study. algorithm, named two-objective simplified swarm optimization (tSSO), revises improves errors previous MOSSO ignores fact that number temporary nondominated solutions not always only one multi-objective problem, some may be next generation based on (SSO). experimental results show tSSO performs better than best-known sorting genetic II (NSGA-II), particle (MOPSO), convergence, diversity, obtained solutions, real solutions. accomplishes objective study, as proven experiments.