Segment-Encoded Explicit Trees (SEETs) for Stateless Multicast: P4-Based Implementation and Performance Study

IF 6.3 Q1 ENGINEERING, ELECTRICAL & ELECTRONIC
Steffen Lindner;Thomas Stüber;Maximilian Bertsch;Toerless Eckert;Michael Menth
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引用次数: 0

Abstract

IP multicast (IPMC) is used to efficiently distribute one-to-many traffic within networks. It requires per-group state in core nodes and results in large signaling overhead when multicast groups change. Bit Index Explicit Replication (BIER) and its tree engineering variant BIER-TE have been introduced as a stateless transport mechanism for IPMC. To utilize BIER or BIER-TE in a large domain, domains need to be subdivided into smaller sets of receivers or smaller connected subdomains, respectively. Sending traffic to receivers in different sets or subdomains necessarily implies sending multiple packets. While efficient algorithms exist to compute sets for BIER, algorithms for computing BIER-TE subdomains are still missing. In this paper, we present a novel stateless tree encoding mechanism called Segment-Encoded Explicit Tree (SEET). It encodes an explicit multicast distribution tree within a packet header so that tree engineering is supported and sets or subdomains are not needed for large domains. SEET is designed to be implementable on low-cost switching ASICs which we underline by a prototype for the Intel Tofino™. If explicit distribution trees are too large to be accommodated within a single header, multiple packets with different distribution trees are sent. For this purpose, we suggest an effective optimization heuristic. A comprehensive study compares the number of sent packets and resulting overall traffic for SEET and BIER in large domains. In our experiments, SEET outperforms BIER even for large multicast groups with up to 1024 receivers.
用于无状态组播的分段编码显式树 (SEET):基于 P4 的实现和性能研究
IP 组播(IPMC)用于在网络内有效分配一对多的流量。它需要核心节点中每个组的状态,在组播组发生变化时会产生大量信令开销。比特索引显式复制(BIER)及其树工程变体 BIER-TE 已被引入作为 IPMC 的无状态传输机制。要在大型域中使用 BIER 或 BIER-TE,需要将域分别细分为较小的接收器集或较小的连接子域。向不同集合或子域中的接收器发送流量必然意味着发送多个数据包。虽然存在计算 BIER 集的高效算法,但仍缺少计算 BIER-TE 子域的算法。在本文中,我们提出了一种新颖的无状态树编码机制,称为分段编码显式树 (SEET)。它在数据包头中编码了一棵显式组播分布树,从而支持树工程,并且不需要大型域的集或子域。SEET 设计为可在低成本交换 ASIC 上实现,我们通过英特尔 Tofino™ 原型强调了这一点。如果显式分布树过大,单个报文头无法容纳,就会发送多个具有不同分布树的数据包。为此,我们提出了一种有效的优化启发式方法。一项综合研究比较了 SEET 和 BIER 在大型域中发送数据包的数量和产生的总流量。在我们的实验中,即使对于接收者多达 1024 个的大型组播群组,SEET 的性能也优于 BIER。
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来源期刊
CiteScore
13.70
自引率
3.80%
发文量
94
审稿时长
10 weeks
期刊介绍: The IEEE Open Journal of the Communications Society (OJ-COMS) is an open access, all-electronic journal that publishes original high-quality manuscripts on advances in the state of the art of telecommunications systems and networks. The papers in IEEE OJ-COMS are included in Scopus. Submissions reporting new theoretical findings (including novel methods, concepts, and studies) and practical contributions (including experiments and development of prototypes) are welcome. Additionally, survey and tutorial articles are considered. The IEEE OJCOMS received its debut impact factor of 7.9 according to the Journal Citation Reports (JCR) 2023. The IEEE Open Journal of the Communications Society covers science, technology, applications and standards for information organization, collection and transfer using electronic, optical and wireless channels and networks. Some specific areas covered include: Systems and network architecture, control and management Protocols, software, and middleware Quality of service, reliability, and security Modulation, detection, coding, and signaling Switching and routing Mobile and portable communications Terminals and other end-user devices Networks for content distribution and distributed computing Communications-based distributed resources control.
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