{'fraction_non_alphanumeric': 0.02194787379972565, 'fraction_numerical': 0.0, 'mean_word_length': 5.636363636363637, '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}}
Characterizing and Mitigating the I/O Scalability Challenges for Serverless Applications

As serverless computing paradigm becomes widespread, it is important to understand the I/O performance characteristics on serverless computing platforms. To the best of our knowledge, we provide the first study that analyzes the observed I/O performance characteristics - some expected and some unexpected findings that reveal the hidden, complex interactions between the application I/O characteristics, the serverless computing platform, and the storage engines. The goal of this analysis is to provide data-driven guidelines to serverless programmers and system designers about the performance trade-offs and pitfalls of serverless I/O.