Jul 2026· International Conference on Ubiquitous and Future Networks· pp. 477-482· 0 citations· 5 references
Abstract
Multiprotocol Label Switching (MPLS) plays a critical role in the backbone networks of Internet Service Providers (ISPs), ensuring robust and scalable network operation. By employing label-based switching instead of destination-based IP forwarding, MPLS significantly reduces forwarding complexity and supports advanced traffic engineering mechanisms. Within MPLS, the Label Distribution Protocol (LDP) is typically used for label distribution, relying on routing information from the Interior Gateway Protocol (IGP). When a link or node failure occurs, LDP is forced to wait for the IGP to re-calculate and update the new paths before it can assign labels for Forwarding Equivalence Classes (FECs). This dependency significantly increases service disruption time due to the combined IGP convergence time and the subsequent label replacement mechanism (withdrawing old labels and installing new ones). Therefore, this paper proposes a novel scheme to mitigate LDP’s dependence on the IGP, thereby minimizing network restoration time during network topology changes. The method utilizes an event-driven signaling mechanism to instantly announce link and node outages across the network. Furthermore, it establishes and installs both primary and backup Label Switched Paths (LSPs) during the initial setup phase of the router. Experimental results demonstrate that the proposed method significantly outperforms LDP, achieving a convergence time up to four times faster in large-scale network scenarios and proving superior scalability.
This paper presents detailed algorithm for calculating L-LSR coefficient, and shows that L-LSR algorithm not only performs better than OSPF, but also has verySignificant performance improvement over the other LSR family of algorithms.
As Data Center Networks (DCNs) continue to scale, the limitations of traditional centralized Software-Defined Networking (SDN) architectures become increasingly apparent, as they fail to meet the stringent demands for low latency and quality of service (QoS). In this paper, we propose an adaptive traffic-aware load balancing mechanism (ATL), a telemetrydriven in-switch scheme implemented on the programmable data plane (PDP) using P4 and driven by In-band Network Telemetry (INT). The current traffic regime is inferred by analyzing the remaining capacity (RC) of each link and its short-term variation (VAR), and adopts a dual-optimization strategy: (i) separating elephant flows (large flows) and mice flows (small flows) onto disjoint path sets to mitigate head-of-line blocking and packet reordering; (ii) dynamically adjusting the flowlet threshold $\left(F^{*}\right)$ to strike a balance between maximizing parallelism and ensuring in-order delivery. We prototyped and evaluated ATL in a Mininet/BMv2 environment, targeting bandwidth-constrained scenarios representative of IoT and edge deployments. The results show that, compared to existing methods such as ECMP, HULA, AWCMP, and APS, ATL consistently reduces both the average and 99th-percentile AFCT while achieving superior elephant-flow throughput, with notable improvements in traffic stability and packet-ordering preservation. Furthermore, ATL demonstrates a favorable cost-performance trade-off ratio of 1:0.99, confirming its efficiency and feasibility within the resource-constrained P4 switch environment.
Overall, IPL offers an efficient and scalable recovery solution for dynamic SDWSNs, particularly in environments with moderate failure rates, while highlighting opportunities for future enhancement through adaptive relay allocation and improved mobility-aware prediction.
S. S, P. J, S. G et al.· International Research Journ...· 0 citations
This paper surveys multicast forwarding-state capacity across ISP core routers and enterprise routers, and proposes a capacity-aware path-selection algorithm for PIM-SSM based on Shortest Widest Path (SWP), allowing to load-balance multicast joins over paths with remaining multicast hardware entries.
Anthony Doeraene, Olivier Bonaventure· Applied Networking Research...· 0 citations
Periplus, an in-band SDN control plane designed to address four challenges that this approach presents in such contexts: automatic bootstrapping, source-based routing, fast failure recovery, and multi-controller coordination is presented.
E. M. C. Barbero, P. Quirós, F. J. S. Reigadas· 1 citation
Modern CDN vendors typically provide multi-server services for content deliveries, in which different requests from the same client are often scheduled to diverse CDN nodes. In this case, the requested data (e.g., short video chunks) always suffer from cold start during its transmission, especially for the first flow of established connections, due to the unknown client-side network quality. Existing schemes focus on single-server startup parameter optimization, whose referred metrics appear to be extremely limited. To address this issue, we propose hStart, a novel collective service paradigm that enables hot-start congestion control by efficient collaboration between CDN nodes. hStart synchronizes probed network quality information (e.g., bandwidth, latency) across CDN nodes to initialize congestion control from historical data, avoiding probing convergence. It uses hierarchical state synchronization to limit overhead, and adaptive prediction with a time-decay trust model to handle dynamics. We implement and deploy the hStart system for the QUIC protocol. Extensive evaluations in both controlled testbeds and large-scale production CDN environments demonstrate that hStart effectively eliminates cold start penalties, boosting 46.47% throughput gain and 21.43% rebuffering reduction.
Tong Li, Jiuxiang Zhu, Bo Wu et al.· Asia-Pacific Workshop on Net...· 0 citations