• K.Vinothkumar
• Dr. D. Maruthanayagam

Edge computing refers to the enabling technologies allowing computation to be performed at the edge of the network, on downstream data on behalf of cloud services and upstream data on behalf of IoT services. Cloud computing to improve network efficiency and satisfy the internet requirement with connected devices increasing by moving computation, control and data storage into the cloud. However, cloud computing faces some challenges to some more stringent performance, such as latency and bandwidth, which are required by many application services. By combining the benefits of cloud computing and edge computing, edge-cloud computing is one of the most promising ways to address all of above problems for improving the battery lifetime and application performance for user devices. Edge-cloud computing performs each task on a user device, an edge or a cloud, which can provide better computing performance and transmission performance compared with edge computing or cloud computing in overall. Improved privacy of user data in the Edge-Cloud collaboration Task scheduling in cloud computing works based on the current information of tasks and resources in accordance with a certain strategy in order to establish an appropriate mapping relationship of tasks to appropriate resources. In this paper we discussed various research related with Edge-Cloud Collaborative Scheduling of Computing Tasks using Optimization algorithms.

Task Scheduling, Edge Cloud Computing, Optimization Algorithms, Cloud Data Centers, Genetic Algorithm, Cat Swarm Optimization, Multi-Objective Ant Colony and Multi Objective Particle Swarm Optimization

"Review on Task Scheduling in Edge Cloud Computing using Optimization Algorithms", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.9, Issue 3, page no.c585-c596, March-2022, Available :http://www.jetir.org/papers/JETIR2203276.pdf

"Review on Task Scheduling in Edge Cloud Computing using Optimization Algorithms", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.9, Issue 3, page no. ppc585-c596, March-2022, Available at : http://www.jetir.org/papers/JETIR2203276.pdf