Identifying latency factors in SDN-based Mobile Core Networks

Marquezan, Clarissa Cassales; An, Xueli; Despotovic, Zoran; Khalili, Ramin; Hecker, Artur

doi:10.1109/iscc.2016.7543785

Cited by 17 publications

(9 citation statements)

References 12 publications

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“…e authors of [7] studied the causes for overall latency in SDN-based mobile core networks. ey linked latency to two major factors: transmission delay and processing delay.…”

Section: Modeling Openflow Messagesmentioning

confidence: 99%

“…However, mobility management applications are latency-sensitive. In fact, there are two salient factors that contribute to increased latency, transmission delay, and processing delay [7]. erefore, we need to configure an SDN-based solution that minimizes handover latency in terms of transmission and processing delays.…”

Section: Proposed Approachmentioning

confidence: 99%

“…As previously stated, the handover signaling latency can be reduced by minimizing the processing and transmission delays of managing entities [7]. erefore, we presented our proposed solution in the LTE setting, where we assigned entities that have to be responsible for handover messages.…”

Section: Proposed Epc Controllermentioning

confidence: 99%

“…Even though the SDN technology is introduced to solve some issues in the current wireless architecture, the nature of the wireless networks nowadays imposes critical challenges due to the rapid and extensive growth of mobile traffic [6]. Meeting the users' requirements and providing a high quality of service become necessary and more challenging [7]. One of the main concerns of mobility management is maintaining a user ongoing session continuity with relatively minimum interruption or, in other words, minimizing handover latency.…”

Section: Introductionmentioning

confidence: 99%

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Modeling Handover Signaling Messages in OpenFlow-Based Mobile Software-Defined Networks

Alotaibi

Helmy

Nayak

2018

Journal of Computer Networks and Communications

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The software-defined networking (SDN) paradigm has become essential in tackling several issues and challenges in conventional networking, especially in mobile/cellular networks. In order to realize the benefits brought by SDN to mobility management, we study the effects of SDN in conjunction with OpenFlow protocol on the handover procedure. However, in this new setting, the handover still suffers from delay due to the exchange of OpenFlow signaling messages. In this paper, we focus on SDN in mobile networks and quantify the delays of handover-related OpenFlow messages in order to identify the performance measures as well as the underlying challenges. For our analysis, we provide an analytical model, using which we modeled two handover-related OpenFlow messages in such networks. To the best of our knowledge, no previous work has modeled OpenFlow messages other than Packet-in messages. In this paper, in addition to the Packet-in message, we model Port-status messages. Following our analysis, we propose a novel solution to make handover more efficient and less interruptive. Furthermore, we study our solution in an LTE architecture and compare it to an existing solution. We show that, in normal traffic conditions, our solution can decrease the handover delay as much as 20%.

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“…e authors of [7] studied the causes for overall latency in SDN-based mobile core networks. ey linked latency to two major factors: transmission delay and processing delay.…”

Section: Modeling Openflow Messagesmentioning

confidence: 99%

Section: Proposed Approachmentioning

confidence: 99%

Section: Proposed Epc Controllermentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Modeling Handover Signaling Messages in OpenFlow-Based Mobile Software-Defined Networks

Alotaibi

Helmy

Nayak

2018

Journal of Computer Networks and Communications

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“…Increasing use of virtual machines (NFV) to support network services also facilitates service chaining and efficient management of flow using a centralized SDN controller [133]. Studies have also shown reduction in overall latency between controller and the managed switches using an SDN based Mobile Core Network (MCN) in comparison with Evolved Packet Core (EPC) [134]. SDN based cellular networks, therefore, offer increased sustainability, lowering operational costs while also allowing operators a global network view for sophisticated traffic monitoring.…”

Section: Mobile Cellular Communicationmentioning

confidence: 99%

State of the Art and Recent Research Advances in Software Defined Networking

Bakhshi

2017

Wireless Communications and Mobile Computing

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Emerging network services and subsequent growth in the networking infrastructure have gained tremendous momentum in recent years. Application performance requiring rapid real-time network provisioning, optimized traffic management, and virtualization of shared resources has induced the conceptualization and adoption of new networking models. Software defined networking (SDN), one of the predominant and relatively new networking paradigms, seeks to simplify network management by decoupling network control logic from the underlying hardware and introduces real-time network programmability enabling innovation. The present work reviews the state of the art in software defined networking providing a historical perspective on complementary technologies in network programmability and the inherent shortcomings which paved the way for SDN. The SDN architecture is discussed along with popular protocols, platforms, and existing simulation and debugging solutions. Furthermore, a detailed analysis is presented around recent SDN development and deployment avenues ranging from mobile communications and data centers to campus networks and residential environments. The review concludes by highlighting implementation challenges and subsequent research directions being pursued in academia and industry to address issues related to application performance, control plane scalability and design, security, and interdomain connectivity in the context of SDN.

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Performance analysis of handover delay and buffer capacity in mobile OpenFlow‐based networks

Panev¹,

Latkoski

2020

Int J Communication

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Summary Software‐defined networking (SDN) is a network concept that brings significant benefits for the mobile cellular operators. In an SDN‐based core network, the average service time of an OpenFlow switch is highly influenced by the total capacity and type of the output buffer, which is used for temporary storage of the incoming packets. In this work, the main goal is to model the handover delay due to the exchange of OpenFlow‐related messages in mobile SDN networks. The handover delay is defined as the overall delay experienced by the mobile node within the handover procedure, when reestablishing an ongoing session from the switch in the source eNodeB to the switch in the destination eNodeB. We propose a new analytical model, and we compare two systems with different SDN switch designs that model a continuous time Markov process by using quasi‐birth–death processes: (1) single shared buffer without priority (model SFB), used for all output ports for both control and user traffic, and (2) two isolated buffers with priority (model priority finite buffering [PFB]), one for control and the other for user plane traffic, where the control traffic is always prioritized. The two proposed systems are compared in terms of total handover delay and minimal buffer capacity needed to satisfy a certain packet error ratio imposed by the link. The mathematical modeling is verified via extensive simulations. In terms of handover delay, the results show that the model PFB outperforms the model SFB, especially for networks with high number of users and high probability of packet‐in messages. As for the buffer dimensioning analysis, for lower arrival rates, low number of users, and low probability of packet‐in messages, the model SFB has the advantage of requiring a smaller buffer size.

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Identifying latency factors in SDN-based Mobile Core Networks

Cited by 17 publications

References 12 publications

Modeling Handover Signaling Messages in OpenFlow-Based Mobile Software-Defined Networks

Modeling Handover Signaling Messages in OpenFlow-Based Mobile Software-Defined Networks

State of the Art and Recent Research Advances in Software Defined Networking

Performance analysis of handover delay and buffer capacity in mobile OpenFlow‐based networks

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