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IoTSim-SDWAN: A simulation framework for interconnecting distributed datacenters over Software-Defined Wide Area Network (SD-WAN)


Alwasel, K and Jha, DN and Hernandez, E and Puthal, D and Barika, M and Varghese, B and Garg, SK and James, P and Zomaya, A and Morgan, G and Ranjan, R, IoTSim-SDWAN: A simulation framework for interconnecting distributed datacenters over Software-Defined Wide Area Network (SD-WAN), Journal of Parallel and Distributed Computing, 143 pp. 17-35. ISSN 0743-7315 (2020) [Refereed Article]

Copyright Statement

Copyright 2020 Elsevier Inc.

DOI: doi:10.1016/j.jpdc.2020.04.006


Software-defined networking (SDN) has evolved as an approach that allows network administrators to program and initialize, control, change and manage networking components (mostly at L2-L3 layers) of the OSI model. SDN is designed to address the programmability shortcomings of traditional networking architectures commonly used in cloud datacenters (CDC). Deployment of SDN solutions have demonstrated significant improvements in areas such as flow optimization and bandwidth allocation in a CDC. However, the benefits are significantly less explored when considering Software-Defined Wide Area Networks (SD-WAN) architectures in the context of delivering solutions by networking multiple CDCs. To support the testing and bench-marking of data-driven applications that rely on data ingestion and processing (e.g., Smart Energy Cloud, Content Delivery Networks) across multiple cloud datacenters, this paper presents the simulator, IoTSim-SDWAN. To the best of our knowledge, IoTSim-SDWAN is the first simulator that facilitates the modeling, simulating, and evaluating of new algorithms, policies, and designs in the context of SD-WAN ecosystems and SDN-enabled multiple cloud datacenters. Finally, IoTSim-SDWAN simulator is evaluated for network performance and energy to illustrate the difference between classical WAN and SD-WAN environments. The obtained results show that SD-WAN surpasses the classical WAN in terms of accelerating traffic flows and reducing power consumption.

Item Details

Item Type:Refereed Article
Keywords:software-defined wide area network (SD-WAN), software-defined network (SDN), classical WAN, Internet of Things (IoT), fog computing, big data, edge computing, network
Research Division:Information and Computing Sciences
Research Group:Distributed computing and systems software
Research Field:Cloud computing
Objective Division:Information and Communication Services
Objective Group:Information systems, technologies and services
Objective Field:Computer systems
UTAS Author:Barika, M (Mr Mutaz Barika)
UTAS Author:Garg, SK (Dr Saurabh Garg)
ID Code:142778
Year Published:2020
Web of Science® Times Cited:5
Deposited By:Information and Communication Technology
Deposited On:2021-02-11
Last Modified:2021-08-04

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