RESOURCE OPTIMIZATION IN CLOUD COMPUTING FOR PAYG USING SHA-256

Computer Engineering

Cloud computing offers on-demand access to computing resources over the Internet, with providers offering services at reasonable prices and using various pricing models to reflect different quality levels. One approach to these pricing schemes is k-times anonymous authentication (k-TAA), which ensures access control, user anonymity, and public traceability. In k-TAA, users can anonymously access services up to k times; exceeding this limit makes their actions traceable. This scheme acts as a prepaid plan based on access frequency. Alternatively, the pay-as-you-go (PAYG) model charges users based on actual usage, minimizing unnecessary costs. Integrating k-TAA with PAYG sets the access bound k by the prepayment amount, but current k-TAA schemes only allow single access per authentication, making them impractical. To address this, we propose a new k-TAA primitive called k-times anonymous pay-as-you-go authentication (k-TAA-PAYG), allowing multiple accesses per authentication session within the limit k. The proposed system dynamically allocates resources based on real-time demand, monitored through user access patterns and usage metrics, thus maximizing resource utilization and minimizing costs.SHA-256-based framework significantly improves the accuracy and security of resource allocation while maintaining low computational overhead. This ensures that users are charged accurately based on actual usage, and providers can optimize their resource distribution effectively. This study highlights the potential of cryptographic techniques in enhancing cloud computing resource management and security.

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