{'fraction_non_alphanumeric': 0.009389671361502348, 'fraction_numerical': 0.0, 'mean_word_length': 5.233918128654971, '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}}
Optimal Resource Reservation Scheme for Maximizing Profit of Service Providers in Edge Computing Federation

Traditional resource allocation strategies in MEC focus on the static situation in single MEC cluster, where the resources are limited and the superior objective is to maximize the resource utilization to guarantee the quality of service. In this work, we consider a situation that the resources are relatively abundant to service providers. A service provider can rent resources either in his local MEC cluster, or in the MEC Federation. We aim to maximize the profit of a service provider as well as to guarantee the quality of service. We put forward an optimal scheme to figure out how many resources should be prereserved or temporarily rented. We make use of queueing theory and probability analysis to construct the optimization scheme of optimal resource reservation. The numerical results show that the proposed resource reservation strategy outperforms the fixed reservation strategies and has a good scalability in the dynamical MEC environment.