LBMP: A Logarithm-Barrier-Based Multipath Protocol for Internet Traffic Management

Xu, Ke; Liu, Hongying; Liu, Jiangchuan; Zhang, Jixiu

doi:10.1109/tpds.2010.95

Cited by 32 publications

(25 citation statements)

References 24 publications

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“…In this project, the evolvability of the architecture has been proposed formally as an important theoretical issue to be resolved. The other research results obtained by this project include: a general framework of source address validation and traceback for IPv4/IPv6 transition scenarios [19], a logarithm-barrier-based multipath protocol for Internet traffic management [20], optimal traffic engineering with OSPF [21], etc.…”

Section: Evolvable Internet Architecture Frameworkmentioning

confidence: 99%

Towards evolvable Internet architecture-design constraints and models analysis

Zhu

et al. 2014

Sci. China Inf. Sci.

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There is a general consensus about the success of Internet architecture in academia and industry. However, with the development of diversified application, the existing Internet architecture is facing more and more challenges in scalability, security, mobility and performance. A novel evolvable Internet architecture framework is proposed in this paper to meet the continuous changing application requirements. The basic idea of evolvability is relaxing the constraints that limit the development of the architecture while adhering to the core design principles of the Internet. Three important design constraints used to ensure the construction of the evolvable architecture, including the evolvability constraint, the economic adaptability constraint and the manageability constraint, are comprehensively described. We consider that the evolvable architecture can be developed from the network layer under these design constraints. What's more, we believe that the address system is the foundation of the Internet. Therefore, we propose a general address platform which provides a more open and efficient network environment for the research and development of the evolvable architecture. CitationXu K, Zhu M, Hu G W, et al. Towards evolvable Internet architecture-design constraints and models analysis.

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Section: Evolvable Internet Architecture Frameworkmentioning

confidence: 99%

Towards evolvable Internet architecture-design constraints and models analysis

Zhu

et al. 2014

Sci. China Inf. Sci.

Self Cite

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“…This is illustrated in Figure 1, source node A computes its sending rate on each of its three paths to destination node C, based on feedback regarding the actual load on the path. The advantage of distributed algorithms is that they adapt at a single timescale (on the order of RTTs), and is able to respond quickly to traffic shifts [8], [12].…”

Section: Traffic Management With Distributed Multipath Routing Fig 1:mentioning

confidence: 99%

Survey of Distributed Multipath Routing Protocols for Traffic Management

Vyas¹,

Patel²,

Ganatra³

2013

IJCA

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In the Internet, Traffic management includes congestion control, routing protocols and traffic engineering. Traffic management is the adaptation of source rates and routing to achieve the goals of users and operators. The end hosts adapt their sending rates to network congestion, and based on that network operators adapt the routing to the measured traffic. Congestion Control is done by source node depending on the ICMP message sent by any intermediate node of the packet delivery path towards the end node. Routing protocols are implemented on the routers for routing purpose. Traffic engineering is an important mechanism for Internet providers seeking to optimize network performance and traffic delivery. As network grows in size and complexity network management needs the optimized protocols instead of existing protocols. There may be a question whether the joint system of congestion control (transport layer) and routing (network layer) is optimal and stable. By using the optimal traffic engineering and optimization model for TCP, the new algorithms can be implemented. The latest algorithms uniting the network and transport layers in a multi-layer approach and can be optimal and maximizes aggregate user utility. In this paper we present various distributed multipath routing protocols which are nearer to optimized and one of them Distributed Adaptive Traffic Engineering(DATE) is the joint system of congestion control and routing.

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“…Actually, the network operator does the traffic engineering by using different algorithms. These algorithms are based on the optimization decomposition and distributed algorithms such as TRUMP [2] and Logarithmic-Based Multipath Protocol (LBMP) [3]. A benefit of using distributed algorithms is that they adjust the sending rates based on the round trip time (RTT) and can reply rapidly to traffic changes.…”

Section: Introductionmentioning

confidence: 99%

Bandwidth Allocation with Fairness in Multipath Networks

Hamzeh¹,

Hemmati²,

Shirmohammadi³

2017

IJCCE

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Network resource management and traffic engineering are important subjects in today's Internet. In terms of traffic engineering, bandwidth allocation and splitting it in a fair manner among different users have become challenging. In addition, optimizing the utilization of network resources, increasing the user utility and throughput are also considerable. So, the user satisfaction with regard to the resource allocation and Quality of Service (QoS) are the most important factors that should be taken into the consideration. At the first step, Network Utility Maximization (NUM) problem has been considered as an initial stage to design any traffic engineering method. In this paper and by considering the mentioned issues, first of all we take into account the NUM problem and optimization decomposition methods by focusing on Traffic Management Using Multipath Protocol (TRUMP), and its weaknesses to tackle the fair resource allocation problem associated with it. We then propose a model to tackle the fair bandwidth allocation issue by implementing an optimized sending rate adaptation model using an intuitive investment method to optimize the link prices (delay and loss) to achieve an efficient fair bandwidth allocation model. The model is evaluated by using different simulations and different topologies under various network conditions. Our results show that the proposed model behaves fairer than TRUMP in certain path selections. As an average from the results and at a minimum point our model achieves 26% improvement in fairness in contrast to TRUMP. In addition, for large networks we can enjoy approximately 90% improvement in fairness measure.

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LBMP: A Logarithm-Barrier-Based Multipath Protocol for Internet Traffic Management

Cited by 32 publications

References 24 publications

Towards evolvable Internet architecture-design constraints and models analysis

Towards evolvable Internet architecture-design constraints and models analysis

Survey of Distributed Multipath Routing Protocols for Traffic Management

Bandwidth Allocation with Fairness in Multipath Networks

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