16 papers
A Performance Analyzer for a Public Cloud's ML-Augmented VM Allocator
Roozbeh Bostandoost, Pooria Namyar, Siva Kesava Reddy Kakarla +8
Cloud operators increasingly deploy multiple ML models in their VM allocation pipelines. In such settings, individually benign predictions can shift and compound, severely degradin…
Low-Bitrate Video Compression through Semantic-Conditioned Diffusion
Lingdong Wang, Guan-Ming Su, Divya Kothandaraman +3
Traditional video codecs optimized for pixel fidelity collapse at ultra-low bitrates and produce severe artifacts. This failure arises from a fundamental misalignment between pixel…
Online Smoothed Demand Management
Adam Lechowicz, Nicolas Christianson, Mohammad Hajiesmaili +2
We introduce and study a class of online problems called online smoothed demand management , motivated by paradigm shifts in grid integration and energy storage fo…
Fairness in the k-Server Problem
Mohammadreza Daneshvaramoli, Helia Karisani, Mohammad Hajiesmaili +2
We initiate a formal study of fairness for the -server problem, where the objective is not only to minimize the total movement cost, but also to distribute the cost equitably am…
Quantifying the Carbon Reduction of DAG Workloads: A Job Shop Scheduling Perspective
Roozbeh Bostandoost, Adam Lechowicz, Walid A. Hanafy +2
Carbon-aware schedulers aim to reduce the operational carbon footprint of data centers by running flexible workloads during periods of low carbon intensity. Most schedulers treat w…
Green Bin Packing
Jackson Bibbens, Cooper Sigrist, Bo Sun +2
The online bin packing problem and its variants are regularly used to model server allocation problems. Modern concerns surrounding sustainability and overcommitment in cloud compu…