{'fraction_non_alphanumeric': 0.012746234067207415, 'fraction_numerical': 0.0, 'mean_word_length': 5.6461538461538465, '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}}
Optimization of Artificial Bee Colony Algorithm Based Load Balancing in Smart Grid Cloud

Cloud computing is a computing paradigm that allocates computing resources by using virtualization technology. Load balancing algorithm is a vital part of the cloud data center to guarantee effective resource utilization and energy consumption management. Current load balance algorithms in cloud focus on the specific systems or application requirements which lack scalable adaptivity. In this paper, the optimization problem of Artificial Bee Colony (ABC) based on load balance algorithm is proposed to improve the overall load balance performance and achieve better adaptivity. The smart grid cloud sources characteristics to cluster virtual machine (VM) is used and the ABC algorithm is optimized. Simulation analysis validates the effectiveness of the proposed method.