SafeMigration: Safe Large-scale Migration Planning via Symbolic Execution

Datacenter and Internet Service Provider networks undergo maintenance or upgrades frequently. To ensure a smooth migration without negative impact of live traffic, network operators must plan steps to take carefully. In this paper, we present SafeMigration, a system for safe migration planning. SafeMigration avoids exhaustive searches by using symbolic variables to represent network states, and encodes the planning problem into an SMT (Satisfiability Modulo Theories) problem. Evaluations using real-world migration scenarios demonstrate that SafeMigration generates migration plans 50 times faster and can be up to 2 orders of magnitude faster in the best case.

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Published
2025-08-19
DOI
https://doi.org/10.1145/3750022.3750463
Primary Topic
Software-Defined Networks and 5G
Type
article
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article

SafeMigration: Safe Large-scale Migration Planning via Symbolic Execution

Lixin Gao, Zibin Chen, Ying Zhang
Software-Defined Networks and 5G
article

SafeMigration: Safe Large-scale Migration Planning via Symbolic Execution

Lixin Gao, Zibin Chen, Ying Zhang
article en

Abstract

Datacenter and Internet Service Provider networks undergo maintenance or upgrades frequently. To ensure a smooth migration without negative impact of live traffic, network operators must plan steps to take carefully. In this paper, we present SafeMigration, a system for safe migration planning. SafeMigration avoids exhaustive searches by using symbolic variables to represent network states, and encodes the planning problem into an SMT (Satisfiability Modulo Theories) problem. Evaluations using real-world migration scenarios demonstrate that SafeMigration generates migration plans 50 times faster and can be up to 2 orders of magnitude faster in the best case.

University of Massachusetts Boston (US)
Reduced inequalities
Openalex Percentile: Top 76%
Software-Defined Networks and 5G
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