• Amarjeet Singh Chauhan
• Dr. Sanjay Saini

The Internet of Things (IoT) Cloud Environment is steadily growing in support of current and projected real-time distributed Internet applications in civilian and military applications, The core idea of this environment is managing and scheduling the available resources to provide service's needs. It has become the most preferred network due to its guaranteed service rendering and cost-effectiveness. The increase in the capability of cloud services has increased the number of users to adapt to the cloud. The increase in the adaption towards the cloud in turn results in insufficiency in the proper and the simultaneous allocation of the resources according to the requisitions. So, task scheduling and resource allocation for the cloud becomes essential. the paper surveys the meta-heuristic optimization-based task scheduling and the resource allocation for the Internet of things cloud environment, that arrives in a more optimal solution at a faster rate and ease. The paper presents the survey of the optimization techniques of task scheduling available for the cloud and the discussion of the improvement of the performance metrics in terms of make-span, throughput, cost, latency, and successful service provisioning compared to the other conventional methods.

Resource allocation; Cloud Computing; Fog Computing; Task Scheduling; Ant Colony Optimization; Particle Swarm Optimization; Artificial Bee Colony; Internet of Things.

"Resource Allocation in IoT Environment using Swarm Optimization: A Review", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.9, Issue 1, page no.e564-e573, January-2022, Available :http://www.jetir.org/papers/JETIR2201478.pdf

"Resource Allocation in IoT Environment using Swarm Optimization: A Review", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.9, Issue 1, page no. ppe564-e573, January-2022, Available at : http://www.jetir.org/papers/JETIR2201478.pdf