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@article{154991,
        author = {Rakesh Pandit and Dr Mona Dwivedi},
        title = {Development of Efficient Resource Management Techniques in Cloud Computing},
        journal = {International Journal of Innovative Research in Technology},
        year = {},
        volume = {8},
        number = {12},
        pages = {1062-1066},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=154991},
        abstract = {Cloud computing is a rapidly evolving technology that allows users to access services at a lower cost. The nature of resource demand varies, creating a vague environment for resource matching and project management. For this reason, service providers focus on resource allocation strategies that are appropriate for the pairing of resources depending on the availability of resources and demand. An effective strategy should be used to solve such similar problems. In this study, we provide strategies for efficient use of resource comparisons using the ant colony optimization (ACO) method to reduce performance time. The findings of the comparative analysis indicate that the proposed algorithm has exceeded existing approaches and is acceptable for cloud resource allocation to meet service level (QoS) and improve customer reliability.},
        keywords = {Cloud computing; Virtualization; Data Migration; LVM Mirroring; LDM Mirroring},
        month = {},
        }