FlowMap: Improving network management with SDN

Truong, Trung; Fu, Qiang; Lorier, Christopher

doi:10.1109/noms.2016.7502907

Cited by 6 publications

(5 citation statements)

References 16 publications

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“…This due to the control plane and forwarding plane are in one device. SDN introduces a mechanism to improve various aspects of network management [4]. The basic concept of Software Defined Networking (SDN) is to perform the separation explicit between the control and forwarding plane.…”

Section: Introductionmentioning

confidence: 99%

Software Defined Networks: a Comparative Study and Quality of Services Evaluation

Nugroho

Irfan

Faruq

2019

SJI

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Software-Defined Network (SDN) as architecture network that separates the control and forwarding functions, so that network operators and administrators can configure the networks in a simple and centrally between thousands of devices. This study is designed and evaluate the Quality of Services (QoS) performances between the two networks employed SDN-based architecture and without SDN-based. MinNet as a software emulator used as a data plane in the network Software Define Network. In this study, comparison of the value of the QoS on the network based on Software Defined Network and traditional network during the test run from the source node is investigated. Network testing by using traffic loads. Traffic loads are used starting from 20Mbps-100Mbps. The result is verified that the QoS analysis of the Software-Defined Network architecture performed better than conventional network architectures. The value of the latency delay on the Software Define Network range between 0,019-0,084ms, and with 0% packet loss when addressed the network traffics of 10-100Mbps.

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Section: Introductionmentioning

confidence: 99%

Software Defined Networks: a Comparative Study and Quality of Services Evaluation

Nugroho

Irfan

Faruq

2019

SJI

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“…In this paper, the structure of SDN coexisting with IP networks is called SDN/IP heterogeneous network. According to different implementation purposes and methods, SDN/IP heterogeneous networks are divided into network topology heterogeneity [14], business heterogeneity [15,16], and traffic heterogeneity [17][18][19]. The issues that different structures focus on are not the same, Heterogeneous types based on network topology can be divided into two types due to different implementation methods: controlling only planar heterogeneity and coexisting with control and data at the level of control.…”

Section: Related Workmentioning

confidence: 99%

Cross-domain Load Balancing Communication Mechanism Based on the Auction Game Theory

shang,

Mao

2024

Preprint

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This paper studied the cross-domain load balancing communication mechanism based on the game model. Firstly, the problem of routing between SDN/IP heterogeneous network inter-domain communication is analyzed. The SDN/IP cross-domain hybird network communication model is proposed. The network abstraction idea is introduced. The OpenFlow controller can be supported by the three-layer routing module and edge nodes. IP routing protocol to synchronize network reachable information between hybrid networks. In the Layer 3 routing module, the routing engine sub-module parses and responds to routing messages, and abstracts the OpenFlow network as a standard "Router". At the same time, three sub-modules of edge management, routing processing, and routing engine management are designed on the controller side. Forward control of inter-domain datagrams of SDN internal networks and management of routing engine sub-modules. Then, a feedback mechanism is added at the edge node location to actively detect and report the edge location state information to expand SDN impact. Secondly, for the problem of elephant stream forwarding in SDN/IP cross-domain network, a multi-path load balancing communication mechanism oriented to cross-domain is designed. The mechanism monitors the elephant flow in the network through the traffic monitoring module in real time, and proposes a multi-path dynamic load balancing algorithm to achieve network load balancing. Firstly, according to the real-time QoS index of the link, multiple minimum cost paths are calculated, and the idea of stream splitting is introduced. Multiple paths are used to bear an elephant stream, which reduces the burden of a single path and improves the utilization of network resources. Then the game model based auction model is introduced to calculate the offload strategy to optimize the maximum link utilization of the network. The simulation results show that the algorithm can effectively balance network traffic, meet the QoS requirements of the service, and increase the network resource utilization rate to 83%.

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“…Therefore, in this paper, firstly, the algorithm obtains the shortest top-k paths to form the path set SP ¼ SP 1 ; SP 2 ; Á Á Á ; SP k f g from the information statistics module, and then the ant chooses an optimal path in the path set. The method of all ants select next site is roulette, and the calculation formula is given as (6).…”

Section: Path Selection Strategymentioning

confidence: 99%

“…But a key limitation of ECMP is that, it is possible to allocate multiple flows to the same path, which causing elephant flows collision and bring the problem of link bottleneck. The appearance of Software Defined Networking (SDN) [6] provides an opportunity for fine-grained traffic scheduling for data center networks to distinguish the size of flows and perceive the global topology, thus making effective routing strategies to balance link load dynamically. There are so many traffic scheduling strategies based on SDN.…”

Section: Introductionmentioning

confidence: 99%

A Link Load Balancing Algorithm Based on Ant Colony Optimization in Data Center Network

Tang

Wang

2021

Communications and Networking

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With the continuous increase of types of services and data volume in data center, the traffic loads of some links are excessive, and how to balance the link load and ensure the quality of network service have become research hotpots. However, the traditional link load balancing mechanisms ignore the complexity of network and the Quality of Service (QoS) requirement of the flow when calculating the forwarding paths. Therefore, we propose a link load balancing algorithm based on Ant Colony Optimization (LLBA) in data center network. The algorithm redefines the heuristic function according to the number of elephant flows on the link and the real-time load of links, and updates the pheromones according to the path length. Then, the algorithm customizes the optimal path determination rule according to the path transmission delay and the real-time loads, so as to find a best forwarding path for the current flow under the multiple constraints including the path length, link load, and transmission delay. The experiment results show that, the proposed algorithm improves the link utilization and network throughput effectively, and also reduces the delay and delay jitter to some extent, as compared with the traditional mechanisms.

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FlowMap: Improving network management with SDN

Cited by 6 publications

References 16 publications

Software Defined Networks: a Comparative Study and Quality of Services Evaluation

Software Defined Networks: a Comparative Study and Quality of Services Evaluation

Cross-domain Load Balancing Communication Mechanism Based on the Auction Game Theory

A Link Load Balancing Algorithm Based on Ant Colony Optimization in Data Center Network

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