PulseTrendingJournal ClubResearchersJournalsExplore
Instagram
HomeTrendingJournal ClubExplore
Synapse
⌘+K
Synapse
March 29, 2026Information SystemsOpen Access

A comprehensive scalable framework for cloud-native pattern detection with enhanced expressiveness

View Full Paper
Ask AI
Bookmark
Share

Authors

IMIoannis MavroudopoulosCBChristos BalaktsisAGAnastasios Gounaris

Discussion

Loading...

Member takes

Overview

This research presents a solution that enhances pattern detection efficiency in cloud-native systems, suggesting improved scalability and versatility.

Key Points

  • The aim is to develop a scalable framework for detecting complex patterns in event logs with enhanced expressiveness.
  • Integrated a Complex Event Processing (CEP) engine into a broader query processor.
  • Utilized a decoupled storage infrastructure with inverted indices for log events.
  • Compared performance with existing systems like ELK and FlinkCEP.
  • The proposed system achieves responses for large complex patterns within seconds.
  • ELK experiences timeouts after 10 minutes for similar queries.
  • Demonstrated superior scalability and robustness in handling complex queries.

Cite This Study

Mavroudopoulos et al. (2026) studied this question.

synapsesocial.com/papers/69c8c2d1de0f0f753b39d358https://doi.org/10.1016/j.is.2026.102725
View Full Paper
Ask AI
Bookmark
Share