FlowDCN: Flow Scheduling in Software Defined Data Center Networks
| Autor: | Tejas Modi, Pravati Swain |
|---|---|
| Rok vydání: | 2019 |
| Předmět: |
Computer science
Distributed computing 010401 analytical chemistry Software-defined data center 020206 networking & telecommunications Throughput 02 engineering and technology Dynamic priority scheduling Network topology 01 natural sciences 0104 chemical sciences 0202 electrical engineering electronic engineering information engineering Bandwidth (computing) Network performance Software-defined networking Host (network) |
| Zdroj: | 2019 IEEE International Conference on Electrical, Computer and Communication Technologies (ICECCT). |
| Popis: | Software Defined Networking (SDN) provides intelligence to network with programmability and decoupled layers. If traffic flows are frequently changing in software-defined data center networks then dynamic flow scheduling is required. This paper provides enhancement to the existing dynamic flow scheduling algorithms for Data Center Networks(DCN) by considering both host-based and link-based capacity of the network. The proposed algorithm is implemented on FAT-tree topology with pod 4 (16 hosts as servers) and compared the achieved network performance with the existing dynamic flow scheduling using RYU controller. Compared to Hedera, the proposed algorithm increases 19.33 % and 5% of the average throughput for unsaturated and saturated hot-spot traffic. Also, the proposed algorithm achieved above 75% and 70% of bandwidth utilization for unsaturated and saturated hot-spot traffic which is higher than existing dynamic flow scheduling algorithms. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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