{'fraction_non_alphanumeric': 0.019758507135016465, 'fraction_numerical': 0.0, 'mean_word_length': 5.333333333333333, '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}}
SaaS clouds supporting non computing specialists

By processing big data using clouds, scientific researchers can achieve remarkable outcomes. However, these non-computing specialists do not have the computing knowledge and skills to deal with big data, build HPC applications, and execute them on clouds. Non-computing specialists also face a major problem with accessing HPC and cloud resources through a command driven interfaces, preferring to use menu-driven interfaces. In response we propose that that the future of big data processing lies in SaaS clouds and exposing applications as services. In this way, researchers are relieved from computing activities and concentrate on their research goals. This paper presents a SaaS cloud framework to support eScience, starting with software tools and other SaaS clouds, a description of an implementation of the proposed framework, and study of its features.