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@article{182593,
        author = {Manpreet Kaur},
        title = {Metaheuristic Approaches to Task Scheduling in Cloud Computing: A Comprehensive Review},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {7},
        number = {5},
        pages = {359-370},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=182593},
        abstract = {Cloud computing provides computer resources such as software and hardware as a service to users via a network. Because of the size of modern data centers and their dynamic resource provisioning nature, we require effective scheduling solutions to manage these resources. The primary goal of scheduling is to assign assignments to the appropriate resources in order to meet one or more optimisation criteria. Scheduling is a difficult problem in the cloud environment; hence many researchers have tried to find an effective solution for job scheduling in the cloud. Through a network, cloud computing provides customers with computing resources, such as hardware and software, as a service. We require effective scheduling strategies to handle these resources because of the size of contemporary data centres and their dynamic resource providing nature. Assigning tasks to sufficient resources in order to meet one or more optimisation criteria is the primary goal of scheduling. Since scheduling is a difficult problem in the cloud, numerous researchers have tried to investigate the best way to schedule tasks in the cloud. This paper will thoroughly review the task scheduling in cloud computing environment based on various meta – heuristic techniques.},
        keywords = {Cloud computing, Resource scheduling, Optimization criteria, Scheduling, Task scheduling, Meta-heuristic techniques.},
        month = {July},
        }