Name
Title | ||
|---|---|---|
G-RCA: a generic root cause analysis platform for service quality management in large IP networks |
Abstract | ||
|---|---|---|
An increasingly diverse set of applications, such as Internet games, streaming videos, e-commerce, online banking, and even mission-critical emergency call services, all relies on IP networks. In such an environment, best-effort service is no longer acceptable. This requires a transformation in network management from detecting and replacing individual faulty network elements to managing the end-to-end service quality as a whole. In this paper, we describe the design and development of a Generic Root Cause Analysis platform (G-RCA) for service quality management (SQM) in large IP networks. G-RCA contains a comprehensive service dependency model that incorporates topological and cross-layer relationships, protocol interactions, and control plane dependencies. G-RCA abstracts the root cause analysis process into signature identification for symptom and diagnostic events, temporal and spatial event correlation, and reasoning and inference logic. G-RCA provides a flexible rule specification language that allows operators to quickly customize G-RCA and provide different root cause analysis tools as new problems need to be investigated. G-RCA is also integrated with data trending, manual data exploration, and statistical correlation mining capabilities. G-RCA has proven to be a highly effective SQM platform in several different applications, and we present results regarding BGP flaps, PIM flaps in Multicast VPN service, and end-to-end throughput degradation in content delivery network (CDN) service. |
Year | DOI | Venue |
|---|---|---|
2012 | 10.1145/1921168.1921175 | Conference on Emerging Network Experiment and Technology |
Keywords | Field | DocType |
Routing protocols,IP networks,Quality management,Routing,Correlation,Libraries | Best-effort delivery,Service quality,Computer science,Root cause analysis,Computer network,Quality of service,Multicast,Network element,Network management,Distributed computing,The Internet | Journal |
Volume | Issue | ISSN |
20 | 6 | 1063-6692 |
Citations | PageRank | References |
24 | 1.14 | 18 |
Authors | ||
6 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| He Yan | 1 | 81 | 5.94 |
| Lee Breslau | 2 | 3016 | 276.26 |
| Zihui Ge | 3 | 847 | 55.97 |
| Daniel Massey | 4 | 282 | 22.10 |
| Dan Pei | 5 | 1540 | 128.64 |
| Jennifer Yates | 6 | 790 | 64.51 |