Multi-Objective Optimization of Consumer Group Autoscaling in Message Broker Systems
Fuente:
arXiv
Saved in:
| Main Authors: | Landau, Diogo, Saurabh, Nishant, Andrade, Xavier, Barbosa, Jorge G |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Retrofitting Service Dependency Discovery in Distributed Systems
by: Landau, Diogo, et al.
Published: (2025)
by: Landau, Diogo, et al.
Published: (2025)
eBPF-Based Instrumentation for Generalisable Diagnosis of Performance Degradation
by: Landau, Diogo, et al.
Published: (2025)
by: Landau, Diogo, et al.
Published: (2025)
Beyond Thread States: Diagnosing Performance Degradation with eBPF and Thread Dynamics
by: Landau, Diogo, et al.
Published: (2026)
by: Landau, Diogo, et al.
Published: (2026)
Benchmarking Message Brokers for IoT Edge Computing: A Comprehensive Performance Study
by: Paul, Tapajit Chandra, et al.
Published: (2026)
by: Paul, Tapajit Chandra, et al.
Published: (2026)
ORACL: Optimized Reasoning for Autoscaling via Chain of Thought with LLMs for Microservices
by: Bai, Haoyu, et al.
Published: (2026)
by: Bai, Haoyu, et al.
Published: (2026)
Self-adaptive, Requirements-driven Autoscaling of Microservices
by: Nunes, João Paulo Karol Santos, et al.
Published: (2024)
by: Nunes, João Paulo Karol Santos, et al.
Published: (2024)
Proactive and Reactive Autoscaling Techniques for Edge Computing
by: Gupta, Suhrid, et al.
Published: (2025)
by: Gupta, Suhrid, et al.
Published: (2025)
Hierarchical Autoscaling for Large Language Model Serving with Chiron
by: Patke, Archit, et al.
Published: (2025)
by: Patke, Archit, et al.
Published: (2025)
Federated learning framework for collaborative remaining useful life prognostics: an aircraft engine case study
by: Landau, Diogo, et al.
Published: (2025)
by: Landau, Diogo, et al.
Published: (2025)
Daedalus: Self-Adaptive Horizontal Autoscaling for Resource Efficiency of Distributed Stream Processing Systems
by: Pfister, Benjamin J. J., et al.
Published: (2024)
by: Pfister, Benjamin J. J., et al.
Published: (2024)
QEIL v2: Heterogeneous Computing for Edge Intelligence via Roofline-Derived Pareto-Optimal Energy Modeling and Multi-Objective Orchestration
by: Kumar, Satyam, et al.
Published: (2026)
by: Kumar, Satyam, et al.
Published: (2026)
SpotKube: Cost-Optimal Microservices Deployment with Cluster Autoscaling and Spot Pricing
by: Edirisinghe, Dasith, et al.
Published: (2024)
by: Edirisinghe, Dasith, et al.
Published: (2024)
TokenScale: Timely and Accurate Autoscaling for Disaggregated LLM Serving with Token Velocity
by: Lai, Ruiqi, et al.
Published: (2025)
by: Lai, Ruiqi, et al.
Published: (2025)
Optimal Checkpoint Interval with Availability as an Objective Function
by: Saxena, Nirmal Raj, et al.
Published: (2024)
by: Saxena, Nirmal Raj, et al.
Published: (2024)
LSRAM: A Lightweight Autoscaling and SLO Resource Allocation Framework for Microservices Based on Gradient Descent
by: Hu, Kan, et al.
Published: (2024)
by: Hu, Kan, et al.
Published: (2024)
MAS-H2: A Hierarchical Multi-Agent System for Holistic Cloud-Native Autoscaling
by: Hamzeh, Hamed, et al.
Published: (2026)
by: Hamzeh, Hamed, et al.
Published: (2026)
HGraphScale: Hierarchical Graph Learning for Autoscaling Microservice Applications in Container-based Cloud Computing
by: Fang, Zhengxin, et al.
Published: (2025)
by: Fang, Zhengxin, et al.
Published: (2025)
Optimizing Service Placement in Edge-to-Cloud AR/VR Systems using a Multi-Objective Genetic Algorithm
by: Herabad, Mohammadsadeq Garshasbi, et al.
Published: (2024)
by: Herabad, Mohammadsadeq Garshasbi, et al.
Published: (2024)
LA-IMR: Latency-Aware, Predictive In-Memory Routing and Proactive Autoscaling for Tail-Latency-Sensitive Cloud Robotics
by: Seo, Eunil, et al.
Published: (2025)
by: Seo, Eunil, et al.
Published: (2025)
Bridging Global Frameworks: Governance Strategies Behind Cisco Common Control Framework v4.0 for Scalable Cloud Compliance
by: Sonkar, Nishant
Published: (2025)
by: Sonkar, Nishant
Published: (2025)
Workflow as a Service Broker in Cloud Environment: A Systematic Mapping Study
by: Abrishami, Saeid, et al.
Published: (2025)
by: Abrishami, Saeid, et al.
Published: (2025)
Message-Oriented Middleware Systems: Technology Overview
by: Al-Manasrah, Wael, et al.
Published: (2026)
by: Al-Manasrah, Wael, et al.
Published: (2026)
Optimizing Federated Learning in the Era of LLMs: Message Quantization and Streaming
by: Xu, Ziyue, et al.
Published: (2025)
by: Xu, Ziyue, et al.
Published: (2025)
An SLO Driven and Cost-Aware Autoscaling Framework for Kubernetes
by: Punniyamoorthy, Vinoth, et al.
Published: (2025)
by: Punniyamoorthy, Vinoth, et al.
Published: (2025)
CASA: A Framework for SLO and Carbon-Aware Autoscaling and Scheduling in Serverless Cloud Computing
by: Qi, S., et al.
Published: (2024)
by: Qi, S., et al.
Published: (2024)
BOute: Cost-Efficient LLM Serving with Heterogeneous LLMs and GPUs via Multi-Objective Bayesian Optimization
by: Jiang, Youhe, et al.
Published: (2026)
by: Jiang, Youhe, et al.
Published: (2026)
A Multi-Objective Framework for Optimizing GPU-Enabled VM Placement in Cloud Data Centers with Multi-Instance GPU Technology
by: Siavashi, Ahmad, et al.
Published: (2025)
by: Siavashi, Ahmad, et al.
Published: (2025)
SAIR: Cost-Efficient Multi-Stage ML Pipeline Autoscaling via In-Context Reinforcement Learning
by: Su, Jianchang, et al.
Published: (2026)
by: Su, Jianchang, et al.
Published: (2026)
Taming the Chaos: Coordinated Autoscaling for Heterogeneous and Disaggregated LLM Inference
by: Li, Rongzhi, et al.
Published: (2025)
by: Li, Rongzhi, et al.
Published: (2025)
Exact, Efficient, and Reliable Multi-Objective and Multi-Constrained IoT Workflow Scheduling in Edge-Hub-Cloud Cyber-Physical Systems
by: Kouloumpris, Andreas, et al.
Published: (2026)
by: Kouloumpris, Andreas, et al.
Published: (2026)
FastGraph: Optimized GPU-Enabled Algorithms for Fast Graph Building and Message Passing
by: Agarwal, Aarush, et al.
Published: (2025)
by: Agarwal, Aarush, et al.
Published: (2025)
Structures and Techniques for Streaming Dynamic Graph Processing on Decentralized Message-Driven Systems
by: Chandio, Bibrak Qamar, et al.
Published: (2024)
by: Chandio, Bibrak Qamar, et al.
Published: (2024)
Collaborative State Machines: A Better Programming Model for the Cloud-Edge-IoT Continuum
by: Etheredge, Marlon, et al.
Published: (2025)
by: Etheredge, Marlon, et al.
Published: (2025)
ENOVA: Autoscaling towards Cost-effective and Stable Serverless LLM Serving
by: Huang, Tao, et al.
Published: (2024)
by: Huang, Tao, et al.
Published: (2024)
Mitigating Temporal Blindness in Kubernetes Autoscaling: An Attention-Double-LSTM Framework
by: Shaikh, Faraz, et al.
Published: (2026)
by: Shaikh, Faraz, et al.
Published: (2026)
From Models to Operators: Rethinking Autoscaling Granularity for Large Generative Models
by: Cui, Xingqi, et al.
Published: (2025)
by: Cui, Xingqi, et al.
Published: (2025)
Federated Communication-Efficient Multi-Objective Optimization
by: Askin, Baris, et al.
Published: (2024)
by: Askin, Baris, et al.
Published: (2024)
BLITZSCALE: Fast and Live Large Model Autoscaling with O(1) Host Caching
by: Zhang, Dingyan, et al.
Published: (2024)
by: Zhang, Dingyan, et al.
Published: (2024)
Predictive Autoscaling for Node.js on Kubernetes: Lower Latency, Right-Sized Capacity
by: Tymoshenko, Ivan, et al.
Published: (2026)
by: Tymoshenko, Ivan, et al.
Published: (2026)
STRATUS: A Multi-agent System for Autonomous Reliability Engineering of Modern Clouds
by: Chen, Yinfang, et al.
Published: (2025)
by: Chen, Yinfang, et al.
Published: (2025)
Similar Items
-
Retrofitting Service Dependency Discovery in Distributed Systems
by: Landau, Diogo, et al.
Published: (2025) -
eBPF-Based Instrumentation for Generalisable Diagnosis of Performance Degradation
by: Landau, Diogo, et al.
Published: (2025) -
Beyond Thread States: Diagnosing Performance Degradation with eBPF and Thread Dynamics
by: Landau, Diogo, et al.
Published: (2026) -
Benchmarking Message Brokers for IoT Edge Computing: A Comprehensive Performance Study
by: Paul, Tapajit Chandra, et al.
Published: (2026) -
ORACL: Optimized Reasoning for Autoscaling via Chain of Thought with LLMs for Microservices
by: Bai, Haoyu, et al.
Published: (2026)