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• W3193734231 abstract "Mobile edge computing (MEC) emerges as a promising solution for servicing delay-sensitive tasks at the edge network. A body of recent literature started to focus on cost-efficient service placement and request scheduling. This work investigates the joint optimization of service placement and request scheduling in a dense MEC network, and develops an efficient online algorithm that achieves close-to-optimal performance. Our online algorithm consists of two basic modules: (1) a regularization with look-ahead approach from competitive online convex optimization, for decomposing the offline relaxed minimization problem into multiple sub-problems, each of which can be efficiently solved in each time slot; (2) a randomized rounding method to transform the fractional solution of offline relaxed problem into integer solution of the original minimization problem, guaranteeing a low competitive ratio. Both theoretical analysis and simulation studies corroborate the efficacy of our proposed online MEC optimization algorithm." @default.
• W3193734231 created "2021-08-30" @default.
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• W3193734231 date "2021-08-26" @default.
• W3193734231 modified "2023-10-14" @default.
• W3193734231 title "Online Service Placement and Request Scheduling in MEC Networks" @default.
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• W3193734231 doi "https://doi.org/10.48550/arxiv.2108.11633" @default.
• W3193734231 hasPublicationYear "2021" @default.
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