Future Trends and Significant Solutions for Intelligent Computing Resource Management
Diya Biswas, Anuska Dutta, Shivnath Ghosh, Piyal Roy · Advances in computational intelligence and robotics book series · 2024
Cloud providers place a high value on reducing energy consumption in cloud computing since it reduces operating costs and improves service sustainability. Cloud services are frequently replicated across providers to ensure high availability and dependability, which increases provider resource utilization and overhead. Finding the right balance between service replication and consolidation to lower energy usage and boost service uptime can be challenging for cloud resource management decision-makers. This chapter addresses this problem by presenting a ground-breaking technique known as “CRUZE,” which is based on cuckoo optimization and considers energy efficiency, dependability, and comprehensive resource management in cloud computing, encompassing cooling systems, servers, networks, and storage. Using cloud resources, effectively illuminating and executing a range of jobs, CRUZE has significantly reduced energy usage by 20.1% while improving dependability and CPU utilization by effectively illustrating and executing a variety of workloads on cloud resources that have been allocated.