{'fraction_non_alphanumeric': 0.011777301927194861, 'fraction_numerical': 0.0, 'mean_word_length': 5.275167785234899, 'pattern_counts': {'":': 0, '<': 0, '<?xml version=': 0, '>': 0, 'https://': 0, 'lorem ipsum': 0, 'www.': 0, 'xml': 0}, 'pii_count': 0, 'substrings_counts': 0, 'word_list_counts': {'cursed_substrings.json': 0, 'profanity_word_list.json': 0, 'sexual_word_list.json': 0, 'zh_pornsignals.json': 0}}
A Simulated Annealing based Energy-Efficient VM Placement Policy in Cloud Computing

Employing cloud computing to capture the benefits of the cloud by performing optimization on the various parameters which is meet the changing requirement is one of the challenging tasks. The mapping between the virtual machine(VMs) to the task and virtual machine to the physical machine is known as VM placement problem and it is necessary that it consumes less energy and high resource utilization. Nowadays, both task and resources become heterogeneous which will create more complicated problem in cloud computing. In this work, we proposed a VM placement algorithm which minimizes the power consumption by deprecating the physically active machine and also reduce the makespan. We have tested our proposed algorithm in CloudSim simulator, and the result showed that our proposed work is performed better result than the existing standard work.