94 citations · 112 across the 18 of their papers we have counts for
24 papers
JOVE: Joint Execution and Verification for Resource-Aware LLM Task Graphs
Haoran Zhang, Dongjun Kim, Seohyeon Cha +4
Complex reasoning queries can be decomposed into directed acyclic task graphs and distributed across heterogeneous LLMs, reducing latency through parallelism and enabling smaller m…
CoreQ: Learning-Free Mismatch Correction and Successive Rounding for Quantization
Seohyeon Cha, Huancheng Chen, Dongjun Kim +4
Post-training quantization (PTQ) enables efficient deployment of large language models by mapping pretrained weights to low-bit formats without retraining, typically using a small…
Inferring Causal Relationships to Improve Caching for Clients with Correlated Requests: Applications to VR
Agrim Bari, Gustavo de Veciana, Yuqi Zhou
Efficient edge caching reduces latency and alleviates backhaul congestion in modern networks. Traditional caching policies, such as Least Recently Used (LRU) and Least Frequently U…
Optimal Resource Allocation for ML Model Training and Deployment under Concept Drift
Hasan Burhan Beytur, Haris Vikalo, Kevin S Chan +1
We study how to allocate resources for training and deployment of machine learning (ML) models under concept drift and limited budgets. We consider a setting in which a model provi…
Optimal Scheduling Algorithms for LLM Inference: Theory and Practice
Agrim Bari, Parikshit Hegde, Gustavo de Veciana
With the growing use of Large Language Model (LLM)-based tools like ChatGPT, Perplexity, and Gemini across industries, there is a rising need for efficient LLM inference systems. T…
Efficient Weighted Sampling via Score-based Generative Models
Heasung Kim, Taekyun Lee, Hyeji Kim +1
Weighted sampling -- sampling from a probability density function (PDF) proportional to the product of a base PDF and a weight function -- is a fundamental technique with wide-rang…
Book-Ahead & Supply Management for Ridesourcing Platforms
Cesar N. Yahia, Gustavo de Veciana, Stephen D. Boyles +2
Ridesourcing platforms recently introduced the ``schedule a ride'' service where passengers may reserve (book-ahead) a ride in advance of their trip. Reservations give platforms pr…
Resource Allocation and HARQ Optimization for URLLC Traffic in 5G Wireless Networks
Arjun Anand, Gustavo de Veciana
5G wireless networks are expected to support Ultra Reliable Low Latency Communications (URLLC) traffic which requires very low packet delays ( < 1 msec.) and extremely high reliabi…
Joint Scheduling of URLLC and eMBB Traffic in 5G Wireless Networks
Arjun Anand, Gustavo de Veciana, Sanjay Shakkottai
Emerging 5G systems will need to efficiently support both enhanced mobile broadband traffic (eMBB) and ultra-low-latency communications (URLLC) traffic. In these systems, time is d…
Online Job Scheduling with Redundancy and Opportunistic Checkpointing: A Speedup-Function-Based Analysis
Huanle Xu, Gustavo de Veciana, Wing Cheong Lau +1
In a large-scale computing cluster, the job completions can be substantially delayed due to two sources of variability, namely, variability in the job size and that in the machine…
Statistical Multiplexing and Traffic Shaping Games for Network Slicing
Jiaxiao Zheng, Pablo Caballero, Gustavo de Veciana +2
Next generation wireless architectures are expected to enable slices of shared wireless infrastructure which are customized to specific mobile operators/services. Given infrastruct…
Network Slicing Games: Enabling Customization in Multi-Tenant Networks
Pablo Caballero, Albert Banchs, Gustavo de Veciana +1
Network slicing to enable resource sharing among multiple tenants --network operators and/or services-- is considered a key functionality for next generation mobile networks. This…
Multi-Tenant Radio Access Network Slicing: Statistical Multiplexing of Spatial Loads
P. Caballero, A. Banchs, G. de Veciana +1
This paper addresses the slicing of Radio Access Network (RAN) resources by multiple tenants, e.g., virtual wireless operators and service providers. We consider a criterion for dy…
Scheduling for Cloud-Based Computing Systems to Support Soft Real-Time Applications
Yuhuan Du, Gustavo de Veciana
Cloud-based computing infrastructure provides an efficient means to support real-time processing workloads, e.g., virtualized base station processing, and collaborative video confe…
Efficiency and Optimality of Largest Deficit First Prioritization: Resource Allocation for Real-Time Applications
Yuhuan Du, Gustavo de Veciana
An increasing number of real-time applications with compute and/or communication deadlines are being supported on shared infrastructure. Such applications can often tolerate occasi…
SVC-based Multi-user Streamloading for Wireless Networks
S. Amir Hosseini, Zheng Lu, Gustavo de Veciana +1
In this paper, we present an approach for joint rate allocation and quality selection for a novel video streaming scheme called streamloading. Streamloading is a recently developed…
End-to-End Optimization of High Throughput DNA Sequencing
Eliza O'Reilly, Francois Baccelli, Gustavo de Veciana +1
At the core of high throughput DNA sequencing platforms lies a bio-physical surface process that results in a random geometry of clusters of homogenous short DNA fragments typicall…
Rate Adaptation and Admission Control for Video Transmission with Subjective Quality Constraints
Chao Chen, Xiaoqing Zhu, Gustavo de Veciana +2
Adapting video data rate during streaming can effectively reduce the risk of playback interruptions caused by channel throughput fluctuations. The variations in rate, however, also…
Modeling the Time-varying Subjective Quality of HTTP Video Streams with Rate Adaptations
Chao Chen, Lark Kwon Choi, Gustavo de Veciana +3
Newly developed HTTP-based video streaming technologies enable flexible rate-adaptation under varying channel conditions. Accurately predicting the users' Quality of Experience (Qo…
NOVA: QoE-driven Optimization of DASH-based Video Delivery in Networks
Vinay Joseph, Gustavo de Veciana
We consider the problem of optimizing video delivery for a network supporting video clients streaming stored video. Specifically, we consider the problem of jointly optimizing netw…
A Markov Decision Model for Adaptive Scheduling of Stored Scalable Videos
Chao Chen, Robert W. Heath, Alan C. Bovik +1
We propose two scheduling algorithms that seek to optimize the quality of scalably coded videos that have been stored at a video server before transmission.} The first scheduling a…
Resource Allocation: Realizing Mean-Variability-Fairness Tradeoffs
Vinay Joseph, Gustavo de Veciana, Ari Arapostathis
Network Utility Maximization (NUM) provides a key conceptual framework to study reward allocation amongst a collection of users/entities across disciplines as diverse as economics,…
Variability Aware Network Utility Maximization
Vinay Joseph, Gustavo de Veciana
Network Utility Maximization (NUM) provides the key conceptual framework to study resource allocation amongst a collection of users/entities across disciplines as diverse as econom…
Large deviations sum-queue optimality of a radial sum-rate monotone opportunistic scheduler
Bilal Sadiq, Gustavo de Veciana
A centralized wireless system is considered that is serving a fixed set of users with time varying channel capacities. An opportunistic scheduling rule in this context selects a us…