Intelligent Router for LLM Workloads: Improving Performance Through Workload-Aware Load Balancing
Fuente:
arXiv
Saved in:
| Main Authors: | Jain, Kunal, Parayil, Anjaly, Mallick, Ankur, Choukse, Esha, Qin, Xiaoting, Zhang, Jue, Goiri, Íñigo, Wang, Rujia, Bansal, Chetan, Rühle, Victor, Kulkarni, Anoop, Kofsky, Steve, Rajmohan, Saravan |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
SageServe: Optimizing LLM Serving on Cloud Data Centers with Forecast Aware Auto-Scaling
by: Jaiswal, Shashwat, et al.
Published: (2025)
by: Jaiswal, Shashwat, et al.
Published: (2025)
Towards Cloud Efficiency with Large-scale Workload Characterization
by: Parayil, Anjaly, et al.
Published: (2024)
by: Parayil, Anjaly, et al.
Published: (2024)
Ensuring Fair LLM Serving Amid Diverse Applications
by: Khan, Redwan Ibne Seraj, et al.
Published: (2024)
by: Khan, Redwan Ibne Seraj, et al.
Published: (2024)
Workload Intelligence: Punching Holes Through the Cloud Abstraction
by: Huang, Lexiang, et al.
Published: (2024)
by: Huang, Lexiang, et al.
Published: (2024)
Attention Enhanced Entity Recommendation for Intelligent Monitoring in Cloud Systems
by: Hussain, Fiza, et al.
Published: (2025)
by: Hussain, Fiza, et al.
Published: (2025)
Intelligent Monitoring Framework for Cloud Services: A Data-Driven Approach
by: Srinivas, Pooja, et al.
Published: (2024)
by: Srinivas, Pooja, et al.
Published: (2024)
A Holistic Framework for Automated Configuration Recommendation for Cloud Service Monitoring
by: Bastos, Anson, et al.
Published: (2026)
by: Bastos, Anson, et al.
Published: (2026)
X-lifecycle Learning for Cloud Incident Management using LLMs
by: Goel, Drishti, et al.
Published: (2024)
by: Goel, Drishti, et al.
Published: (2024)
DynamoLLM: Designing LLM Inference Clusters for Performance and Energy Efficiency
by: Stojkovic, Jovan, et al.
Published: (2024)
by: Stojkovic, Jovan, et al.
Published: (2024)
Towards Greener LLMs: Bringing Energy-Efficiency to the Forefront of LLM Inference
by: Stojkovic, Jovan, et al.
Published: (2024)
by: Stojkovic, Jovan, et al.
Published: (2024)
Memora: A Harmonic Memory Representation Balancing Abstraction and Specificity
by: Xia, Menglin, et al.
Published: (2026)
by: Xia, Menglin, et al.
Published: (2026)
Serving Heterogeneous LoRA Adapters in Distributed LLM Inference Systems
by: Jaiswal, Shashwat, et al.
Published: (2025)
by: Jaiswal, Shashwat, et al.
Published: (2025)
Cost-Aware Retrieval-Augmentation Reasoning Models with Adaptive Retrieval Depth
by: Hashemi, Helia, et al.
Published: (2025)
by: Hashemi, Helia, et al.
Published: (2025)
Automated Root Causing of Cloud Incidents using In-Context Learning with GPT-4
by: Zhang, Xuchao, et al.
Published: (2024)
by: Zhang, Xuchao, et al.
Published: (2024)
Towards Resource-Efficient Compound AI Systems
by: Chaudhry, Gohar Irfan, et al.
Published: (2025)
by: Chaudhry, Gohar Irfan, et al.
Published: (2025)
Splitwise: Efficient generative LLM inference using phase splitting
by: Patel, Pratyush, et al.
Published: (2023)
by: Patel, Pratyush, et al.
Published: (2023)
Risk-aware Adaptive Virtual CPU Oversubscription in Microsoft Cloud via Prototypical Human-in-the-loop Imitation Learning
by: Wang, Lu, et al.
Published: (2024)
by: Wang, Lu, et al.
Published: (2024)
Murakkab: Resource-Efficient Agentic Workflow Orchestration in Cloud Platforms
by: Chaudhry, Gohar Irfan, et al.
Published: (2025)
by: Chaudhry, Gohar Irfan, et al.
Published: (2025)
StreamWise: Serving Multi-Modal Generation in Real-Time at Scale
by: Qiu, Haoran, et al.
Published: (2026)
by: Qiu, Haoran, et al.
Published: (2026)
ModServe: Modality- and Stage-Aware Resource Disaggregation for Scalable Multimodal Model Serving
by: Qiu, Haoran, et al.
Published: (2025)
by: Qiu, Haoran, et al.
Published: (2025)
AMPO: Active Multi-Preference Optimization for Self-play Preference Selection
by: Gupta, Taneesh, et al.
Published: (2025)
by: Gupta, Taneesh, et al.
Published: (2025)
REFA: Reference Free Alignment for multi-preference optimization
by: Gupta, Taneesh, et al.
Published: (2024)
by: Gupta, Taneesh, et al.
Published: (2024)
TAPAS: Thermal- and Power-Aware Scheduling for LLM Inference in Cloud Platforms
by: Stojkovic, Jovan, et al.
Published: (2025)
by: Stojkovic, Jovan, et al.
Published: (2025)
Exploring How LLMs Capture and Represent Domain-Specific Knowledge
by: Garcia, Mirian Hipolito, et al.
Published: (2025)
by: Garcia, Mirian Hipolito, et al.
Published: (2025)
AIOpsLab: A Holistic Framework to Evaluate AI Agents for Enabling Autonomous Clouds
by: Chen, Yinfang, et al.
Published: (2025)
by: Chen, Yinfang, et al.
Published: (2025)
Junctiond: Extending FaaS Runtimes with Kernel-Bypass
by: Saurez, Enrique, et al.
Published: (2024)
by: Saurez, Enrique, et al.
Published: (2024)
Sutradhara: An Intelligent Orchestrator-Engine Co-design for Tool-based Agentic Inference
by: Biswas, Anish, et al.
Published: (2026)
by: Biswas, Anish, et al.
Published: (2026)
Revisiting Transformer Layer Parameterization Through Causal Energy Minimization
by: Xu, Jin, et al.
Published: (2026)
by: Xu, Jin, et al.
Published: (2026)
Semantic Caching of Contextual Summaries for Efficient Question-Answering with Language Models
by: Couturier, Camille, et al.
Published: (2025)
by: Couturier, Camille, et al.
Published: (2025)
Sherlock: Reliable and Efficient Agentic Workflow Execution
by: Ro, Yeonju, et al.
Published: (2025)
by: Ro, Yeonju, et al.
Published: (2025)
No Request Left Behind: Tackling Heterogeneity in Long-Context LLM Inference with Medha
by: Agrawal, Amey, et al.
Published: (2024)
by: Agrawal, Amey, et al.
Published: (2024)
AutoAdapt: An Automated Domain Adaptation Framework for LLMs
by: Sinha, Sidharth, et al.
Published: (2026)
by: Sinha, Sidharth, et al.
Published: (2026)
Multi-Preference Optimization: Generalizing DPO via Set-Level Contrasts
by: Gupta, Taneesh, et al.
Published: (2024)
by: Gupta, Taneesh, et al.
Published: (2024)
Synergistic Weak-Strong Collaboration by Aligning Preferences
by: Jiao, Yizhu, et al.
Published: (2025)
by: Jiao, Yizhu, et al.
Published: (2025)
Lean Attention: Hardware-Aware Scalable Attention Mechanism for the Decode-Phase of Transformers
by: Sanovar, Rya, et al.
Published: (2024)
by: Sanovar, Rya, et al.
Published: (2024)
Load Balancing for AI Training Workloads
by: McClure, Sarah, et al.
Published: (2025)
by: McClure, Sarah, et al.
Published: (2025)
From Reasoning to Answer: Empirical, Attention-Based and Mechanistic Insights into Distilled DeepSeek R1 Models
by: Zhang, Jue, et al.
Published: (2025)
by: Zhang, Jue, et al.
Published: (2025)
An Advanced Reinforcement Learning Framework for Online Scheduling of Deferrable Workloads in Cloud Computing
by: Dong, Hang, et al.
Published: (2024)
by: Dong, Hang, et al.
Published: (2024)
Input-Dependent Power Usage in GPUs
by: Gregersen, Theo, et al.
Published: (2024)
by: Gregersen, Theo, et al.
Published: (2024)
TurboAttention: Efficient Attention Approximation For High Throughputs LLMs
by: Kang, Hao, et al.
Published: (2024)
by: Kang, Hao, et al.
Published: (2024)
Similar Items
-
SageServe: Optimizing LLM Serving on Cloud Data Centers with Forecast Aware Auto-Scaling
by: Jaiswal, Shashwat, et al.
Published: (2025) -
Towards Cloud Efficiency with Large-scale Workload Characterization
by: Parayil, Anjaly, et al.
Published: (2024) -
Ensuring Fair LLM Serving Amid Diverse Applications
by: Khan, Redwan Ibne Seraj, et al.
Published: (2024) -
Workload Intelligence: Punching Holes Through the Cloud Abstraction
by: Huang, Lexiang, et al.
Published: (2024) -
Attention Enhanced Entity Recommendation for Intelligent Monitoring in Cloud Systems
by: Hussain, Fiza, et al.
Published: (2025)