Analytical Modelling of Software and Hardware Switches with Internal Buffer in Software-Defined Networks

Singh, Deepak; Ng, Bryan; Lai, Yuan Cheng; Lin, Ying-Dar; Seah, Winston K.G.

doi:10.1016/j.jnca.2019.03.006

Cited by 7 publications

(9 citation statements)

References 15 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…There are three queues: Q L and Q HB in the switch and Q C in the controller. In the analysis, we handle them independently because the previous literature that uses independence assumption can obtain acceptable results with low complexity 11,14,15 . Many previous analyses in SDN considered one queue in the switch and one queue in the controller and simply adopted M/M/1 for both queues 11,14,15,26 .…”

Section: Discussionmentioning

confidence: 99%

“…The frequency of the SDN controller being overloaded depends on traffic dynamics and the number of switches that the controller is responsible for, so estimating the exact frequency is difficult in the real world. However, from many previous literatures, 5–14 the overloaded controller is actually a problem and must be dealt with. Many previous studies tried to relieve the controller load, and they can be classified into three categories: packet scheduling, 15,16 multi‐controller architecture, 5–9,17–19 and frequency reduction 10–14,20,21 .…”

Section: Introductionmentioning

confidence: 99%

“…The frequency reduction category offloads the partial workload of the controller to switches 10–14,20,21 . A distributed flow management architecture, DIFANE (DIstributed Flow Architecture for Networked Enterprises), 20 was proposed.…”

Section: Introductionmentioning

confidence: 99%

“…Because Forward messages are less important than State Change and Flow Setup messages, Forward messages are regulated through a rate limiter. Singh et al 11 proposed the concept of internal buffering in the switch. Only the packet's header is encapsulated as a Packet‐In message, whereas its payload is stored into the internal buffer in the switch.…”

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Buffering and prioritization in switches for fast processing table‐miss packets in software‐defined networks

Lai

Hailemariam

Chen

et al. 2021

Int J Communication

View full text Add to dashboard Cite

Summary In software‐defined networks, the switch forwards incoming packets according to forwarding rules recorded in the flow entries. When a switch receives a table‐miss packet, meaning no match with any flow entry, it sends this packet as a Packet‐In message to the controller for its further processing. Many Packet‐In messages will cause large overhead and long packet delay. This paper proposes a novel method, Packet‐In Buffering and Prioritization (PIBP), which buffers Packet‐In messages and prioritizes these messages to reduce the number of Packet‐In messages and accelerate their processing, respectively. The concept of PIBP is sending only the first table‐miss packet of each flow to the controller. The other table‐miss packets belonging to the same flow are temporarily stored in the switch. Moreover, these messages have a higher priority. That is, after the packet sent from the controller has been forwarded from the switch, the buffered packets belonging to the same flow are also immediately forwarded. We formally analyze the performance of PIBP with queuing theory. The analytical and simulation results show that PIBP can decrease the average delay of table‐miss packets compared with two typical methods, Priority Queue and Mismatched Packets Table.

show abstract

Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Buffering and prioritization in switches for fast processing table‐miss packets in software‐defined networks

Lai

Hailemariam

Chen

et al. 2021

Int J Communication

View full text Add to dashboard Cite

show abstract

“…In the following section, we present a quick review on developments made in switching designs and network hypervisor based solutions for enabling gradual transformation of networks from traditional Ethernet to SDN technology. Juniper [30], IBM [31] and HP [32] released their SDN based switching and routing devices for DCs. These peripherals have hybrid switching capabilities to support both conventional Ethernet and SDN OpenFlow standards.…”

Section: A Software-defined Networkingmentioning

confidence: 99%

Software-Defined Cloud Computing: A Systematic Review on Latest Trends and Developments

Abbasi

Shamshirband

et al. 2019

IEEE Access

View full text Add to dashboard Cite

Cloud computing concepts offer effective and efficient tools for addressing resource-hungry computational problems. While conventional methods, architectures, and processing techniques may limit cloud data center performance, software-defined cloud computing (SDCC) is an approach where virtualization services to all network resources in a dc are software-defined and where software-defined networking (SDN) and cloud computing go hand in hand. SDCC-related concepts change the previous state of affairs by promoting the centralized control of networking functions in a data center. A key objective of developing software-driven cloud infrastructure is that the networking hardware, software, storage, security, and network traffic management is open and interoperable. This facilitates easy installation and management of networking functions in the cloud infrastructure. Employing SDCC concepts to cloud data centers can improve resource administration challenges to a greater extent. This paper presents a survey on SDCC. We begin by introducing SDCC environments and explain its main architectural components. We identify the essential contributions of various developments to this field and discuss the implementation challenges and limitations faced in their adoption. We also explore the potential of SDCC in two domains, namely, resource orchestration and application development, as case studies of specific interest. In an attempt to anticipate the future evolution, we discuss the important research opportunities and challenges in this promising field.

show abstract

Modeling & analysis of software defined networks under non-stationary conditions

Vuppalapati

Venkatesh

2021

Peer-to-Peer Netw. Appl.

View full text Add to dashboard Cite

Analytical Modelling of Software and Hardware Switches with Internal Buffer in Software-Defined Networks

Cited by 7 publications

References 15 publications

Buffering and prioritization in switches for fast processing table‐miss packets in software‐defined networks

Buffering and prioritization in switches for fast processing table‐miss packets in software‐defined networks

Software-Defined Cloud Computing: A Systematic Review on Latest Trends and Developments

Modeling & analysis of software defined networks under non-stationary conditions

Contact Info

Product

Resources

About