Simulative Comparison of Multiprotocol Label Switching and OpenFlow Network Technologies for Transmission Operations

Sydney, Ali; Nutaro, James; Scoglio, Caterina; Gruenbacher, Don; Schulz, Noel N.

doi:10.1109/tsg.2012.2227516

Cited by 30 publications

(16 citation statements)

References 8 publications

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“…For validating incremental progress related to solving the problem of traffic splitting, a comparison between classical approach (OSPF) and proposed work (FLCS) was conducted by multiple experiments using NS-3 [18][19][20][21][22][23][24][25][26]. We have performed a group of simulations in the scenario composed of MPLS-TE together with constraint based routing.…”

Section: Simulation Analysis and Resultsmentioning

confidence: 99%

Proposal and Implementation of MPLS Fuzzy Traffic Monitor

Bhandari¹,

Singh²

2016

ijacsa

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Abstract-Multiprotocol Label Switched Networks need highly intelligent controls to manage high volume traffic due to issues of traffic congestion and best path selection. The work demonstrated in this paper shows results from simulations for building optimal fuzzy based algorithm for traffic splitting and congestion avoidance. The design and implementation of Fuzzy based software defined networking is illustrated by introducing the Fuzzy Traffic Monitor in an ingress node. Finally, it displays improvements in the terms of mean delay (42.0%) and mean loss rate (2.4%) for Video Traffic. Then, the resu1t shows an improvement in the terms of mean delay (5.4%) and mean loss rate (3.4%) for Data Traffic and an improvement in the terms of mean delay(44.9%) and mean loss rate(4.1%) for Voice Traffic as compared to default MPLS implementation.

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Section: Simulation Analysis and Resultsmentioning

confidence: 99%

Proposal and Implementation of MPLS Fuzzy Traffic Monitor

Bhandari¹,

Singh²

2016

ijacsa

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“…A VLAN tree of limited depth is found suitable for PMU data collection network. Sydney et al envision that SDN can enable innovations and experimentation for smart-grid communications at realistic scales [21]. They consider a grid application of demandresponse (i.e., reduce load when a generator is disconnected).…”

Section: Related Workmentioning

confidence: 99%

A Simulation Study on Smart Grid Resilience under Software-Defined Networking Controller Failures

Ghosh

Dong

Tan

et al. 2016

Proceedings of the 2nd ACM International Workshop on Cyber-Physical System Security

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Riding on the success of SDN for enterprise and data center networks, recently researchers have shown much interest in applying SDN for critical infrastructures. A key concern, however, is the vulnerability of the SDN controller as a single point of failure. In this paper, we develop a cyberphysical simulation platform that interconnects Mininet (an SDN emulator), hardware SDN switches, and PowerWorld (a high-fidelity, industry-strength power grid simulator). We report initial experiments on how a number of representative controller faults may impact the delay of smart grid communications. We further evaluate how this delay may affect the performance of the underlying physical system, namely automatic gain control (AGC) as a fundamental closed-loop control that regulates the grid frequency to a critical nominal value. Our results show that when the fault-induced delay reaches seconds (e.g., more than four seconds in some of our experiments), degradation of the AGC becomes evident. Particularly, the AGC is most vulnerable when it is in a transient following say step changes in loading, because the significant state fluctuations will exacerbate the effects of using a stale system state in the control.

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“…A third approach is an improvement to the ADEVS approach. In this approach, the Toolkit for Hybrid Systems Evaluation and Modeling (THYME) was integrated with the Network Simulator 3 (NS-3) simulation tools (see [18,19]) to compare the performance of MPLS and OpenFlow networks in the context of a hypothetical smart grid application [20,21].…”

Section: Background and Related Workmentioning

confidence: 99%

Using GENI for experimental evaluation of Software Defined Networking in smart grids

et al. 2014

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The North American Electric Reliability Corporation (NERC) envisions a smart grid that aggressively explores advance communication network solutions to facilitate real-time monitoring and dynamic control of the bulk electric power system. At the distribution level, the smart grid integrates renewable generation and energy storage mechanisms to improve the reliability of the grid. Furthermore, dynamic pricing and demand management provide customers an avenue to interact with the power system to determine the electricity usage that best satisfies their lifestyle. At the transmission level, efficient communication and a highly automated architecture provide visibility in the power system and as a result, faults are mitigated faster than they can propagate. However, such higher levels of reliability and efficiency rest on the supporting communication infrastructure. To date, utility companies are moving towards Multiprotocol Label Switching (MPLS) because it supports traffic engineering and virtual private networks (VPNs). Furthermore, it provides Quality of Service (QoS) guarantees and fail-over mechanisms in addition to meeting the requirement of non-routability as stipulated by NERC. However, these benefits come at a cost for the infrastructure that supports the full MPLS specification. With this realization and given a two week implementation and deployment window in GENI, we explore the modularity and flexibility provided by the low cost OpenFlow Software Defined Networking (SDN) solution. In particular, we use OpenFlow to provide 1.) automatic fail-over mechanisms, 2.) a load balancing, and 3.) Quality of Service guarantees: all essential mechanisms for smart grid networks.

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Simulative Comparison of Multiprotocol Label Switching and OpenFlow Network Technologies for Transmission Operations

Cited by 30 publications

References 8 publications

Proposal and Implementation of MPLS Fuzzy Traffic Monitor

Proposal and Implementation of MPLS Fuzzy Traffic Monitor

A Simulation Study on Smart Grid Resilience under Software-Defined Networking Controller Failures

Using GENI for experimental evaluation of Software Defined Networking in smart grids

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