QoSComm: A Data Flow Allocation Strategy among SDN-Based Data Centers for IoT Big Data Analytics

When Internet of Things (IoT) big data analytics (BDA) require to transfer data streams among software defined network (SDN)-based distributed data centers, the data flow forwarding in the communication network is typically done by an SDN controller using a traditional shortest path algorithm or jus...

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Veröffentlicht in:Applied sciences Jg. 10; H. 21; S. 7586
Hauptverfasser: Lozano-Rizk, Jose E., Nieto-Hipolito, Juan I., Rivera-Rodriguez, Raul, Cosio-Leon, Maria A., Vazquez-Briseño, Mabel, Chimal-Eguia, Juan C.
Format: Journal Article
Sprache:Englisch
Veröffentlicht: Basel MDPI AG 01.11.2020
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ISSN:2076-3417, 2076-3417
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Zusammenfassung:When Internet of Things (IoT) big data analytics (BDA) require to transfer data streams among software defined network (SDN)-based distributed data centers, the data flow forwarding in the communication network is typically done by an SDN controller using a traditional shortest path algorithm or just considering bandwidth requirements by the applications. In BDA, this scheme could affect their performance resulting in a longer job completion time because additional metrics were not considered, such as end-to-end delay, jitter, and packet loss rate in the data transfer path. These metrics are quality of service (QoS) parameters in the communication network. This research proposes a solution called QoSComm, an SDN strategy to allocate QoS-based data flows for BDA running across distributed data centers to minimize their job completion time. QoSComm operates in two phases: (i) based on the current communication network conditions, it calculates the feasible paths for each data center using a multi-objective optimization method; (ii) it distributes the resultant paths among data centers configuring their openflow Switches (OFS) dynamically. Simulation results show that QoSComm can improve BDA job completion time by an average of 18%.
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ISSN:2076-3417
2076-3417
DOI:10.3390/app10217586