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A Markov Decision Process-based service migration procedure for follow me cloud

Ksentini, Adlen, Taleb, Tarik, Chen, Min·2014·2014 IEEE International Conference on Communications (ICC)

Abstract

The Follow-Me Cloud (FMC) concept enables service mobility across federated data centers (DCs). Following the mobility of a mobile user, the service located in a given DC is migrated each time an optimal DC is detected. The detailed criterion for optimality is defined by operator policy, but it may be typically derived from geographical proximity or load. Service migration may be an expensive operation given the incurred cost in terms of signaling messages and data transferred between DCs. Decision on service migration defines therefore a tradeoff between cost and user perceived quality. In this paper, we address this tradeoff by modeling the service migration procedure using a Markov Decision Process (MDP). The aim is to formulate a decision policy that determines whether to migrate a service or not when the concerned User Equipment (UE) is at a certain distance from the source DC. We numerically formulate the decision policies and compare the proposed approach against the baseline counterpart.

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Metadata

Authors
Ksentini, A., Taleb, T., & Chen, M.
Venue
2014 IEEE International Conference on Communications (ICC)
Publisher
IEEE
Published
2014-06
Pages
1350-1354
ISSN
1550-3607 (ISSN-L)
OpenAlex
W2025652426
Cited by
205
References
1
FWCI
14.22
Type
conference paper
Language
en
Open access
closed

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CoChat. (2026). Citation check: A Markov Decision Process-based service migration procedure for follow me cloud. https://app.cochat.ai/papers/10.1109/icc.2014.6883509
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Ksentini, A., Taleb, T., & Chen, M. (2014). A Markov Decision Process-based service migration procedure for follow me cloud. 2014 IEEE International Conference on Communications (ICC). https://doi.org/10.1109/icc.2014.6883509

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