A Hybrid Approach for Task Scheduling in the Cloud Environment

Author:

Tuli Krishan1,Malhotra Manisha1ORCID

Affiliation:

1. Chandigarh University, India

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.

Publisher

IGI Global

Subject

Computer Networks and Communications,Computer Science Applications,Human-Computer Interaction

Cited by 4 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Design of CSKAS-VANET model for stable clustering and authentication scheme using RBMA and signcryption;Frontiers in Computer Science;2024-05-01

2. A Hybrid Algorithm Based on PSO Algorithm and Chi-Squared Distribution for Tasks Consolidation in Cloud Computing Environment;2023 IEEE 6th International Conference on Cloud Computing and Artificial Intelligence: Technologies and Applications (CloudTech);2023-11-21

3. λHive;International Journal of Cloud Applications and Computing;2022-10-26

4. Server Consolidation Algorithms for Cloud Computing;International Journal of Cloud Applications and Computing;2022-10-06

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