A Hybrid Approach for Task Scheduling in the Cloud Environment

Abstract

In today’s world, Cloud Computing has been considered as the best concept for the virtualization of various resources. There are various approaches that have been available for improvising the load balancing and also to improvise the job scheduling in the concept of cloud. Cloud Computing has offers the on-demand allocation of resources to users and this feature of cloud makes it a best among various technologies. Cloud computing provides great performance in less maintenance cost. So, Task scheduling has become a very important factor in enhancing the performance of resources dynamically and at low cost, which is the most crucial part of cloud computing. In other words, we can say that allocation of resources and task scheduling are the two major factors that are considered for the better performance and they must be organized precisely. The author has focused on enhancing the task scheduling process by creating a hybrid optimization algorithm and named as Cuckoo Harmony Search Algorithm (CHSA) to remove the task scheduling problem.

λHive

“…Despite the influence of cost effectiveness, on-demand service, and scalability, cloud computing faces many challenges, such as security, performance, orchestration, and fault tolerance. Several investigations propose technologies and tools to overcome these challenges, such as the models for task scheduling presented in (Alakbarov, 2022) and in (Tuli & Malhotra , 2022) or the model for fault mitigation described in (Adeyinka Osuolale , 2022) and the capability-based access control proposed in (Kaushik & Gandhi, 2020) to ensure that only authorized users will be able to access the data.…”