An Extended Intelligent Water Drop Strategy for Process Scheduler in Cloud

Cloud computing is a most emerging paradigm with high resource power for working in most heterogeneous computing environment. Cloud computing provides the collection of computing resources present in data centres. These data centres are responsible for the managing user's request and optimal utilization of resources. There is massive amount of task submitted at a time by the user so it is a challenge for public cloud provider to manage the task in such a way so that the performance of the service may not decrease. An extended intelligent water drop (EIWD) algorithm is an efficient modified nature inspired efficient task scheduling strategy which focuses on the multiple objectives to schedule the workflow in the cloud environment. The workflow is gaining more attention in the cloud environment because it is emerged as a paradigm in the advanced complex computing environment. The strategy is simulated with diverse cost models on the simulation platform of cloud (open-source) and results are compared and discussed with different nature inspired strategies to find the optimal result.