Optimizing Cloud Resources with Elephant Herding Optimization: A Novel Approach for Efficiency and Scalability

Today we all are persisting in a computerised world. Computer and internet together control a great deal of our life environment. Clouds are gaining increasing popularity in the IT world. Cloud computing is offering utility-oriented IT services to user worldwide. Cloud computing domain assist utilization by computerising envisioned assets that can be stipulation kinetically. Scheduling in cloud computing can be done in two ways, platform level where jobs or tasks from several consumers are planned on Realistic Machines for appropriate execution and infrastructure level scheduling where several Realistic machines are planned on physical machines signalized in datacentres. Nowadays optimisations are the trends which are very active in research fields. We had implemented different types of optimisation technique almost in every research field for decades. This paper elaborates one of the optimisation techniques which is swarm-based metaheuristic search method called EHO. This paper describes the EHO technique for task scheduling algorithm over cloud by considering the cost and time optimization factors.