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- W4301404792 abstract "This paper addresses the problem of load-balancing in a typical mobile edge computing scenario, where mobile users need to select one of the edge servers in their vicinity to offload their tasks. To achieve load balancing, while also limiting the control overhead, we propose δ-DJSQ, a fully-distributed joint-the-shortest-queue policy, where servers provide sporadic status updates over unreliable channels, and users select the least loaded server according to their local belief. We formally prove that the necessary conditions of system stability are also sufficient, namely, the system is stable when the task generation rate is lower than the task service rate, the status update rate is positive, and the probability that a user receives a status update is positive as well. We show that δ-DJSQ is robust to update delays and to message losses, and achieves competitive performance results compared to static load-balancing solutions, both for homogeneous and for heterogeneous servers." @default.
- W4301404792 created "2022-10-05" @default.
- W4301404792 creator A5022537969 @default.
- W4301404792 creator A5035223116 @default.
- W4301404792 date "2022-05-16" @default.
- W4301404792 modified "2023-10-17" @default.
- W4301404792 title "Distributed Join-the-Shortest-Queue with Sparse and Unreliable Information Updates" @default.
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- W4301404792 doi "https://doi.org/10.1109/icc45855.2022.9838596" @default.
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