{'fraction_non_alphanumeric': 0.019133937562940583, 'fraction_numerical': 0.0, 'mean_word_length': 5.808219178082192, '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 profile-driven dynamic application offloading scheme for Android systems

Smart mobile devices, such as smartphones and tablets, are gaining strong demands recently with the advances in processors, memories, storages, communication networks, and software applications. However, due to their limited form factors and battery capacities, the current generation of smart mobile devices cannot yet fulfill the requirements of sophisticated applications. Leveraging a cloud service to offload the application workload can potentially overcome these limitations. In the paper, we enhance our previous works on mobile-cloud computing by extending the programming model on Android smartphones with a flow-based programming paradigm to provide more flexibility for application migration. For properly provisioning the resources and making smart decisions based on the performance gain, we add a profile-based policy manager and profiling service into our framework to enable a dynamic offload scheme.