PulseExploreJournal ClubResearchersJournals
Instagram
HomeJournal ClubExplore
Synapse
⌘+K
Synapse
October 17, 2025Open Access

C-Koordinator: Interference-aware Management for Large-scale and Co-located Microservice Clusters

View Full Paper
Ask AI
Bookmark
Share

Authors

SSS. H. SongMXMinxian XuZZZuowei Zhang

Discussion

Loading...

Member takes

Overview

This system improves application latency and resource utilization in co-located microservices, suggesting effective strategies for interference mitigation.

Key Points

  • Enhanced resource utilization is achievable, reducing application latency by up to 36.1% across various loads.
  • CPI is used to measure interference accurately, with prediction models exceeding 90.3% accuracy.
  • The C-Koordinator platform integrates co-location strategies to mitigate resource competition among microservices.
  • These improvements are crucial for maintaining stable application performance in large-scale cluster environments.

Cite This Study

Song et al. (2025) studied this question.

synapsesocial.com/papers/68f19f20de32064e504dde82https://doi.org/10.48550/arxiv.2507.18005
View Full Paper
Ask AI
Bookmark
Share

Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1C‐Koordinator: Interference‐Aware Management for Large‐Scale and Co‐Located Microservice Clusters2026
  2. 2An Interference-aware Approach for Co-located Container Orchestration with Novel Metric2024
  3. 3Mitigating Interference of Microservices with a Scoring Mechanism in Large-scale Clusters2024
  4. 4[Artifact] Interference-Aware Cross-Application Placement: A Multi-Objective Optimization Approach for Microservice Clusters2026
  5. 5Analyzing Performance Variability in Alibaba's Microservice Architecture: A Critical-Path-Based Perspective2024