![]() ![]() Finally, we used simulations to demonstrate our scheme’s effectiveness. BARE improves network performance by employing a prefetching mechanism and a centralized network monitor to collect global information, sorting out the locality data process, splitting tasks, and executing a rescheduling mechanism with a scheduler to reduce task completion time. For this reason, in this study, we propose a centralized solution, called the bandwidth-aware rescheduling (BARE) mechanism for software-defined network (SDN)-based data center networks. Although many studies have proposed schemes for improving network performance, they have shortcomings that degrade their performance. Unfortunately, achieving the minimum task completion time in the Hadoop system is an NP-complete problem. However, most existing network architectures cannot effectively handle big data, thereby necessitating an efficient mechanism to reduce task completion time when large amounts of data are processed in data center networks. A large number of network data packets will be generated in such a network. Recently, with the increase in network bandwidth, various cloud computing applications have become popular. ![]()
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