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@article{169034,
        author = {Saravanakumar Baskaran},
        title = {Performance Optimization and Reliability Trade-offs in Cloud Computing},
        journal = {International Journal of Innovative Research in Technology},
        year = {2024},
        volume = {8},
        number = {6},
        pages = {655-661},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=169034},
        abstract = {Cloud computing has fundamentally transformed how organizations deploy and manage their IT resources, providing scalable and flexible infrastructure that meets diverse operational needs. However, the pursuit of performance optimization frequently presents trade-offs related to reliability, which is crucial for maintaining service availability and data integrity. This paper explores the intricate relationship between performance optimization and reliability within cloud environments, analyzing strategies such as load balancing, resource allocation, and caching while addressing reliability concerns through redundancy, fault tolerance, and data replication. The impact of these trade-offs on system architecture and operations is examined alongside emerging trends influencing this balance. A strategic approach to optimizing performance while ensuring reliability is vital for the sustainable success of cloud services in an increasingly competitive landscape.},
        keywords = {Cloud Computing, Performance Optimization, Reliability, Trade-offs, Resource Allocation, Fault Tolerance, Load Balancing, Caching, Redundancy, Data Replication.},
        month = {November},
        }