{'fraction_non_alphanumeric': 0.014792899408284023, 'fraction_numerical': 0.0029585798816568047, 'mean_word_length': 4.867052023121388, '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}}
An Approach to Reduce Cloud Spot Instances Cost

The cost reduction is one of the attractive features offered by the cloud. Spot leasing is one way to reduce the cost. Spot leasing is done by leasing the unused excess instances with low price. On the other hand, spot instances are facing risks that minimize their reliability and desirability. Risks including instances reclaiming and dynamic price changing. Minimizing the risks associated with the spot leasing is going to help to increase the utilization of the spot instances, which in turn is going to attract more users. In this paper, a framework has been proposed to mitigate the instances reclaiming risk while reducing the leasing cost as possible. This is done by monitoring many markets and hopping between instances. The proposed framework has been evaluated through simulating using randomly generated data and actual data collected from Amazon web services. The proposed framework recorded 9% to 42% of cost reduction compared with the actual cost.