Cloud is rising as a service paradigm for expeditiously death penalty large vary distributed workflows with Brobdingnagian multiplication and data transmit wants. The heterogeneousness in cloud resources makes it exigent for planning work flow errands expeditiously. The aim is to seek out associate optimized mapping connecting individual work flow jobs and cloud resources, supported a range of feature of services. The dependencies in workflows create it troublesome for planning job with preference constraints. The roles need to be planned in such method that it reduces the makespan and finishing price for work flow. This paper proposes a work flow planning formula supported cuckoo hunt for finding a schedule for work flow jobs. the roles area unit side to execution list once prioritizing them consistent with the length of finishing and dependencies. Cuckoo search formula is changed to seek out a best mapping of work flow jobs on cloud resources. The work flow is dead inside a user outline aim whereas optimizing the makespan. The outcomes area unit evaluated with the meta-heuristic population based mostly Particle Swarm improvement and heuristic technique mixed Earliest end Time. The outcomes of the projected formula indicate that it outperforms the move toward thought-about for analysis. Copyright © 2018 American Scientific Publishers.