Next Article in Journal
Simplified Swarm Optimization for the Heterogeneous Fleet Vehicle Routing Problem with Time-Varying Continuous Speed Function
Previous Article in Journal
Concrete Cracks Detection and Monitoring Using Deep Learning-Based Multiresolution Analysis

Bandwidth-Aware Rescheduling Mechanism in SDN-Based Data Center Networks

Department of Computer Science and Information Engineering, China University of Technology, Taipei 11695, Taiwan
Department of Computer Science, University of California, Davis, CA 95616, USA
Author to whom correspondence should be addressed.
Academic Editor: Danda B. Rawat
Electronics 2021, 10(15), 1774;
Received: 6 June 2021 / Revised: 12 July 2021 / Accepted: 23 July 2021 / Published: 24 July 2021
(This article belongs to the Section Networks)
Recently, with the increase in network bandwidth, various cloud computing applications have become popular. A large number of network data packets will be generated in such a network. 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. Unfortunately, achieving the minimum task completion time in the Hadoop system is an NP-complete problem. Although many studies have proposed schemes for improving network performance, they have shortcomings that degrade their performance. 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. 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. Finally, we used simulations to demonstrate our scheme’s effectiveness. Simulation results show that our scheme outperforms other existing schemes in terms of task completion time and the ratio of data locality. View Full-Text
Keywords: software-defined network; rescheduling; bandwidth-aware; Hadoop software-defined network; rescheduling; bandwidth-aware; Hadoop
Show Figures

Figure 1

MDPI and ACS Style

Chuang, M.-C.; Yen, C.-C.; Hung, C.-J. Bandwidth-Aware Rescheduling Mechanism in SDN-Based Data Center Networks. Electronics 2021, 10, 1774.

AMA Style

Chuang M-C, Yen C-C, Hung C-J. Bandwidth-Aware Rescheduling Mechanism in SDN-Based Data Center Networks. Electronics. 2021; 10(15):1774.

Chicago/Turabian Style

Chuang, Ming-Chin, Chia-Cheng Yen, and Chia-Jui Hung. 2021. "Bandwidth-Aware Rescheduling Mechanism in SDN-Based Data Center Networks" Electronics 10, no. 15: 1774.

Find Other Styles
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Article Access Map by Country/Region

Back to TopTop