Copyright © 2026 Authors retain the copyright of this article. This article is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

@article{143434,
        author = {V.Prasathkumar and P.Jeevitha},
        title = {PERFORMANCE ANALYSIS AND OPTIMIZATION OF MULTI-CLOUD COMPUITNG FOR LOOSLY COUPLED MTC APPLICATIONS},
        journal = {International Journal of Innovative Research in Technology},
        year = {},
        volume = {2},
        number = {11},
        pages = {232-238},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=143434},
        abstract = {Cloud storage enables network online storage where data is stored on multiple virtual servers. In order to carry out huge tasks in cloud environment, single cloud provider is not sufficient to perform the many tasks applications and services. For Handling Intensive task, need to have multi cloud environment to improve the cost-effectiveness of the deployment and increase availability. Larger tasks are carried out by processing of many tasks at a time in a cloud computing environment. In this paper, for efficient handling of multiple tasks, need to have the performance analysis and optimization of all tasks in the multi-cloud environment. Performance analyses consist of CPU scheduling, Memory utilization, I/O tasks, and resource time sharing and cost benefits. Earlier system concentrates on the deployment of multi cloud architecture and multi-processing needs more accuracy, scalability and efficiency. In the methodology, Job allocation by front end server and service LAN are used. This research will achieved the process of multitasking environment in multi cloud infrastructure by having some effective tools for measuring over all performance and optimization of multi cloud computing services.},
        keywords = {Cloud computing, computing cluster, loosely coupled architecture, multiple task computing},
        month = {},
        }