Continuous Distributed Monitoring in the Evolved Packet Core
Paper in proceeding, 2019

For performance analysis, optimization and anomaly detection, there is strong need to monitor industrial systems, which, along modern datacenter infrastructures, feature a high level of decentralization. Continuous Distributed Monitoring (CDM) corresponds to the task of continuously keeping track of statistics from different distributed nodes. We review the feasibility of implementing state-of-the-art CDM algorithms in a large-scale, distributed, performance-critical production system. The study is on the Evolved Packet Core (EPC), an inherently distributed component of the 4G architecture, for processing mobile broadband data. In this work, we propose adjustments to classical models that are needed to account for communication and computation delays and the hierarchical architecture present in production systems. We further demonstrate efficient CDM implementations in the EPC, and analyze trade-offs of accuracy versus savings in communication, as well as availability of the monitoring system.

evolved packet core

real-time

continuous distributed monitoring

Author

Romaric Duvignau

Chalmers, Computer Science and Engineering (Chalmers), Networks and Systems (Chalmers)

Marina Papatriantafilou

Chalmers, Computer Science and Engineering (Chalmers), Networks and Systems (Chalmers)

Konstantinos Peratinos

Student at Chalmers

Ericsson

Eric Nordström

Ericsson

Patrik Nyman

Ericsson

DEBS 2019 - Proceedings of the 13th ACM International Conference on Distributed and Event-Based Systems

187-192
9781450367943 (ISBN)

13th ACM International Conference on Distributed and Event-Based Systems, DEBS 2019
Darmstadt, Germany,

Future factories in the Cloud (FiC)

Swedish Foundation for Strategic Research (SSF) (GMT14-0032), 2016-01-01 -- 2020-12-31.

INDEED

Chalmers, 2016-01-01 -- 2020-12-31.

Subject Categories

Computer Engineering

Embedded Systems

Computer Systems

Areas of Advance

Information and Communication Technology

DOI

10.1145/3328905.3329761

ISBN

9781450367943

More information

Latest update

3/21/2023