Abstract
To realize the promise of low-latency service access in edge computing, the services need to be placed in close proximity to users. As a user moves, its service may need to be migrated to a new location. In this chapter, we first formulate this migration decision-making problem as a Markov decision process (MDP). Then, by analyzing the characteristics of this MDP, we provide efficient ways of obtaining the near-optimal policy for service migration. Finally, we discuss some practical aspects and present results from trace-driven simulation.
| Original language | English (US) |
|---|---|
| Title of host publication | Artificial Intelligence for Edge Computing |
| Publisher | Springer International Publishing |
| Pages | 297-314 |
| Number of pages | 18 |
| ISBN (Electronic) | 9783031407871 |
| ISBN (Print) | 9783031407864 |
| DOIs | |
| State | Published - Dec 21 2023 |
All Science Journal Classification (ASJC) codes
- General Computer Science
- General Engineering
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