{"title":"Correctness of flow migration across Network Function instances","authors":"Ranjan Patowary , Gautam Barua , 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.
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.