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The primal-dual method for learning augmented algorithms
E Bamas, A Maggiori… - Advances in Neural …, 2020 - proceedings.neurips.cc
The extension of classical online algorithms when provided with predictions is a new and
active research area. In this paper, we extend the primal-dual method for online algorithms …
active research area. In this paper, we extend the primal-dual method for online algorithms …
Face to face collaborative AR on mobile phones
A Henrysson, M Billinghurst… - Fourth ieee and acm …, 2005 - ieeexplore.ieee.org
Mobile phones are an ideal platform for augmented reality. We describe how they also can
be used to support face to face collaborative AR applications. We have created a custom …
be used to support face to face collaborative AR applications. We have created a custom …
Dynamic TCP acknowledgement and other stories about e/(e-1)
We present the first optimal randomized online algorithms for the TCP acknowledgment
problem [5] and the Bahncard problem [7]. These problems are well-known to be …
problem [5] and the Bahncard problem [7]. These problems are well-known to be …
Advice querying under budget constraint for online algorithms
Several problems have been extensively studied in the learning-augmented setting, where
the algorithm has access to some, possibly incorrect, predictions. However, it is assumed in …
the algorithm has access to some, possibly incorrect, predictions. However, it is assumed in …
Improved learning-augmented algorithms for the multi-option ski rental problem via best-possible competitive analysis
Y Shin, C Lee, G Lee, HC An - International Conference on …, 2023 - proceedings.mlr.press
In this paper, we present improved learning-augmented algorithms for the multi-option ski
rental problem. Learning-augmented algorithms take ML predictions as an added part of the …
rental problem. Learning-augmented algorithms take ML predictions as an added part of the …
Online algorithms with costly predictions
M Drygala, SG Nagarajan… - … Conference on Artificial …, 2023 - proceedings.mlr.press
In recent years there has been a significant research effort on incorporating predictions into
online algorithms. However, work in this area often makes the underlying assumption that …
online algorithms. However, work in this area often makes the underlying assumption that …
Online resource procurement and allocation in a hybrid edge-cloud computing system
By acquiring cloud-like capacities at the edge of a network, edge computing is expected to
significantly improve user experience. In this paper, we formulate a hybrid edge-cloud …
significantly improve user experience. In this paper, we formulate a hybrid edge-cloud …
Peak-aware online economic dispatching for microgrids
Y Zhang, MH Hajiesmaili, M Chen - Proceedings of the 2015 ACM Sixth …, 2015 - dl.acm.org
By employing local renewable energy sources and power generation units while connected
to the central grid, microgrid can usher in great benefits in terms of cost efficiency, power …
to the central grid, microgrid can usher in great benefits in terms of cost efficiency, power …
Keep hot or go cold: A randomized online migration algorithm for cost optimization in staas clouds
M Liu, L Pan, S Liu - IEEE Transactions on Network and …, 2021 - ieeexplore.ieee.org
Storage-as-a-Service clouds generally offer both hot and cold storage tiers with different
pricing options. Hot tiers provide a higher storage price but a lower access price, and vice …
pricing options. Hot tiers provide a higher storage price but a lower access price, and vice …
To Reserve or Not to Reserve: Optimal Online {Multi-Instance} Acquisition in {IaaS} Clouds
Infrastructure-as-a-Service (IaaS) clouds offer diverse instance purchasing options. A user
can either run instances on demand and pay only for what it uses, or it can prepay to reserve …
can either run instances on demand and pay only for what it uses, or it can prepay to reserve …