Learning-augmented weighted paging
We consider a natural semi-online model for weighted paging, where at any time the algorithm is given predictions, possibly with errors, about the next arrival of each page. The model is inspired by Belady's classic optimal offline algorithm for unweighted paging, and extends the recently studi...
Main Authors: | Bansal, N, Coester, C, Kumar, R, Purohit, M, Veez, E |
---|---|
Format: | Conference item |
Language: | English |
Published: |
Society for Industrial and Applied Mathematics
2022
|
Similar Items
-
Learning-augmented priority queues
by: Benomar, Z, et al.
Published: (2025) -
Learning-augmented dynamic power management with multiple states via new ski rental bounds
by: Antoniadis, A, et al.
Published: (2022) -
Online metric allocation and time-varying regularization
by: Bansal, N, et al.
Published: (2022) -
Feature weighting with augmented visual phrase in visual product recognition
by: Zhang, Wen
Published: (2016) -
Learning-Augmented Algorithms
by: Silwal, Sandeep
Published: (2022)