Correctness of flow migration across Network Function instances

IF 4.3 3区 计算机科学 Q1 COMPUTER SCIENCE, INFORMATION SYSTEMS
Ranjan Patowary , Gautam Barua , Radhika Sukapuram
{"title":"Correctness of flow migration across Network Function instances","authors":"Ranjan Patowary ,&nbsp;Gautam Barua ,&nbsp;Radhika Sukapuram","doi":"10.1016/j.comcom.2025.108284","DOIUrl":null,"url":null,"abstract":"<div><div>Network Functions (NFs) improve the safety and efficiency of networks. Flows traversing NFs may need to be migrated from a source NF instance (sNF) to a destination NF instance (dNF) to balance load, conserve energy, etc. When NFs are stateful, the information stored on an sNF per flow must be migrated to the corresponding dNF before the flow is migrated, to avoid problems of consistency. Our main contribution is to examine what it means to correctly migrate flows from a stateful NF instance. We define the property of Weak-O, where only the state information required for packets to be correctly forwarded from an sNF is migrated first to the corresponding dNF, while the remaining states are eventually migrated. Weak-O can be preserved without buffering or dropping packets, unlike existing algorithms. We propose an algorithm that preserves Weak-O and prove its correctness. Even though this may cause packet re-ordering, we experimentally demonstrate that the goodputs with and without migration are comparable when the old and new paths have the same delays and bandwidths. This is also true when the new path has larger bandwidth or at most 5 times longer delays. Thus flow migration without buffering is practical, contrary to what was thought before. We also prove that no criterion stronger than Weak-O can be preserved in a flow migration system that requires no buffering or dropping of packets and eventually synchronizes its states.</div></div>","PeriodicalId":55224,"journal":{"name":"Computer Communications","volume":"242 ","pages":"Article 108284"},"PeriodicalIF":4.3000,"publicationDate":"2025-07-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Computer Communications","FirstCategoryId":"94","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0140366425002415","RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"COMPUTER SCIENCE, INFORMATION SYSTEMS","Score":null,"Total":0}
引用次数: 0

Abstract

Network Functions (NFs) improve the safety and efficiency of networks. Flows traversing NFs may need to be migrated from a source NF instance (sNF) to a destination NF instance (dNF) to balance load, conserve energy, etc. When NFs are stateful, the information stored on an sNF per flow must be migrated to the corresponding dNF before the flow is migrated, to avoid problems of consistency. Our main contribution is to examine what it means to correctly migrate flows from a stateful NF instance. We define the property of Weak-O, where only the state information required for packets to be correctly forwarded from an sNF is migrated first to the corresponding dNF, while the remaining states are eventually migrated. Weak-O can be preserved without buffering or dropping packets, unlike existing algorithms. We propose an algorithm that preserves Weak-O and prove its correctness. Even though this may cause packet re-ordering, we experimentally demonstrate that the goodputs with and without migration are comparable when the old and new paths have the same delays and bandwidths. This is also true when the new path has larger bandwidth or at most 5 times longer delays. Thus flow migration without buffering is practical, contrary to what was thought before. We also prove that no criterion stronger than Weak-O can be preserved in a flow migration system that requires no buffering or dropping of packets and eventually synchronizes its states.
跨Network Function实例的流迁移正确性
NFs (Network Functions)可以提高网络的安全性和效率。为了实现负载均衡、节能等目的,需要将流经NFs的流从源NF实例(sNF)迁移到目的NF实例(dNF)。当NFs是有状态时,每个流的sNF上存储的信息必须先迁移到对应的dNF,然后再迁移,以避免一致性问题。我们的主要贡献是检查从有状态的NF实例正确迁移流意味着什么。我们定义了Weak-O属性,其中只有从sNF正确转发数据包所需的状态信息首先迁移到相应的dNF,而其余状态最终迁移。与现有算法不同,弱0可以在不缓冲或丢弃数据包的情况下保存。提出了一种保留弱零的算法,并证明了其正确性。尽管这可能会导致数据包重新排序,但我们通过实验证明,当新旧路径具有相同的延迟和带宽时,有迁移和没有迁移的goodput是可比较的。当新路径具有更大的带宽或最多5倍的延迟时也是如此。因此,与之前的想法相反,没有缓冲的流动迁移是可行的。我们还证明了在不需要缓冲或丢弃数据包并最终同步其状态的流迁移系统中,没有比弱- 0更强的准则可以保留。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
Computer Communications
Computer Communications 工程技术-电信学
CiteScore
14.10
自引率
5.00%
发文量
397
审稿时长
66 days
期刊介绍: Computer and Communications networks are key infrastructures of the information society with high socio-economic value as they contribute to the correct operations of many critical services (from healthcare to finance and transportation). Internet is the core of today''s computer-communication infrastructures. This has transformed the Internet, from a robust network for data transfer between computers, to a global, content-rich, communication and information system where contents are increasingly generated by the users, and distributed according to human social relations. Next-generation network technologies, architectures and protocols are therefore required to overcome the limitations of the legacy Internet and add new capabilities and services. The future Internet should be ubiquitous, secure, resilient, and closer to human communication paradigms. Computer Communications is a peer-reviewed international journal that publishes high-quality scientific articles (both theory and practice) and survey papers covering all aspects of future computer communication networks (on all layers, except the physical layer), with a special attention to the evolution of the Internet architecture, protocols, services, and applications.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信