Izvorni znanstveni članak

https://doi.org/10.17559/TV-20250718002842

Sustainable Energy Modelling in Cloud-Based Healthcare Systems Using Hybrid Grey Wolf Firefly Optimization

P. Manikanda Prabu ; Department of Computer Science and Engineering, Anjalai Ammal Mahalingam Engineering College, Kovilvenni, Tamilnadu, India *
V. R. Sarma Dhulipala ; Department of Physics, Anna University, BIT Campus, Tiruchirappalli, Tamilnadu, India

* Dopisni autor.

Sažetak

The Cloud computing is a technology breakthrough that delivers utility-based services to a variety of consumers. In recent times, the scalability and economy of cloud computing have been recently accepted and used in the healthcare industry. It allows the healthcare sector to provide a top platform for the consumers to have access to the best medical treatments in the market. The impact of cloud computing on health care operations with respect to the rule of supplying services, cooperation, building operational models, and provision of end user’s services is great and permanent. Electronic Health Record (EHR) applications have evolved leading to higher demand for the computing resources of data centers. The most interesting uses of electronic health record is the instant and instant access to healthcare data for consumers and patients. We aim to accomplish a general performance and usage of cloud resources through their high efficiency in this work for effective energy and load balancing. Specifically, the suggested method, which officially uses the name HWGFF, is a hybrid optimization of Grey Wolf Firefly algorithm to achieve the optimal energy usage and load balancing in transmission. The presented approach is an under a cloud computing context to maximize resource utilization while minimizing energy usage and expenditures. Although the result of the technique we suggested is not very convenient, there is at least a more sensible answer. It is found experimentally according to the approach that the suggested is somewhat more efficient than the currently used load balancing techniques.

Ključne riječi

cloud computing; IoHT; load balancing; medical service energy optimization; optimization in task allocation

Hrčak ID:

348685

URI

https://hrcak.srce.hr/348685

Datum izdavanja:

30.6.2026.

Posjeta: 0 *