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- Title
Dynamic Flow Scheduling Technique for Load Balancing in Fat-Tree Data Center Networks.
- Authors
Wen-Hsuan Liang; Dun-Wei Cheng; Chih-Wei Hsu; Chia-Wei Lee; Chih-Heng Keand; Zomaya, Albert Y.; Sun-Yuan Hsieh
- Abstract
Modern data center networks for a fat-tree topology typically adopt a multirooted hierarchical tree structure to achieve multiple-path capability and increase bisection bandwidth. However, the performance of a data center network highly depends on the routing protocols. Conventional routing protocols are unsuitable for modern data center topologies because they lack multiple-path routing support. Another crucial concern in data center networks is load balancing. Certain routing protocol limitations could lead to overloaded or underloaded utilization of a link, thereby considerably reducing the performance of a data center network. Therefore, we present a genetic algorithm (GA)-based dynamic load-balancing routing algorithm, which is heuristic and involves the use of a centralized scheduling technique. This algorithm mainly uses a GA to search for optimal solutions. We implement our algorithm in an OpenFlow controller RYU and Mininet emulator, which is based on software-defined networking architecture. Our evaluation results revealed that our algorithm can effectively achieve load balancing and increase bisection bandwidth.
- Publication
International Journal of Performability Engineering, 2021, Vol 17, Issue 6, p491
- ISSN
0973-1318
- Publication type
Academic Journal
- DOI
10.23940/ijpe.21.06.p1.491503