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- W4383473034 abstract "Mobile Edge Computing (MEC) is expected to play a significant role in the development of 6G networks, as new applications such as cooperative driving and eXtended Reality (XR) require both communication and computational resources from the network edge. However, the limited capabilities of edge servers may be strained to perform complex computational tasks within strict latency bounds for multiple clients. In these contexts, both maintaining a low average Age of Information (AoI) and guaranteeing a low Peak AoI (PAoI) even in the worst case may have significant user experience and safety implications. In this work, we investigate a theoretical model of a MEC server, deriving the expected AoI and the PAoI and latency distributions under the First In First Out (FIFO) and Generalized Processor Sharing (GPS) resource allocation policies. We consider both synchronized and unsynchronized systems, and draw insights on the robust design of resource allocation policies from the analytical results." @default.
- W4383473034 created "2023-07-07" @default.
- W4383473034 creator A5031458924 @default.
- W4383473034 date "2023-07-05" @default.
- W4383473034 modified "2023-09-24" @default.
- W4383473034 title "Age of Information Analysis in Shared Edge Computing Servers" @default.
- W4383473034 doi "https://doi.org/10.48550/arxiv.2307.02166" @default.
- W4383473034 hasPublicationYear "2023" @default.
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