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• W2911883387 abstract "Mobile edge computing is a new computing paradigm in which cloud computing capabilities are pushed from the network core to the network edge to serve the end-user in proximity. However, with the sinking of computing capabilities, the new challenge incurred by user mobility arises: since end-users typically move erratically, the services should be dynamically migrated among multiple edges to maintain the service performance, i.e., user-perceived latency. Tackling this problem is non-trivial since frequent service migration would greatly increase the operational cost. To address this challenge in terms performance-cost trade-off, in this paper we study the mobile edge service performance optimization problem under long-term cost budget constraint. To address user mobility which is typically unpredictable, we first apply Lyapunov optimization to decompose the long-term optimization problem into a series of real-time optimization problems which do not require a priori knowledge such as user mobility. As the decomposed problem is NP-hard, we further propose an efficient heuristic based on the Markov approximation technique. Rigorous theoretical analysis and extensive evaluations demonstrate the efficacy of the proposed solution." @default.
• W2911883387 created "2019-02-21" @default.
• W2911883387 creator A5042785211 @default.
• W2911883387 creator A5067212391 @default.
• W2911883387 creator A5078909773 @default.
• W2911883387 date "2018-06-01" @default.
• W2911883387 modified "2023-10-02" @default.
• W2911883387 title "Follow Me at the Edge: Mobility-Aware Dynamic Service Placement for Mobile Edge Computing" @default.
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• W2911883387 doi "https://doi.org/10.1109/iwqos.2018.8624174" @default.
• W2911883387 hasPublicationYear "2018" @default.
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