Network Performance Forecasting System 컴퓨터공학과 19991251 신주철 (jedi@postech.ac.kr) 지도교수님 : 홍원기 교수님 (jwkhong@postech.ac.kr) D istributed P rocessing & N etwork M anagement Lab.

Background Network Management Efficient , reliable and secure operations and management of networks, systems and services Functions F ault, C onfiguration, A ccounting, P erformance , and S ecurity Management CSED499 DPNM Lab.

Network Management

Efficient , reliable and secure operations and management of networks, systems and services

Functions

F ault, C onfiguration, A ccounting, P erformance , and S ecurity Management

Background CSED499 DPNM Lab. Network Performance Monitoring Network performance measurement and visualization (MRTG, Network Weather Map) Simple prediction of network performance POSNWS (POSTECH Network Weather Map Service) DPNM, POSTECH MRTG (Multi Router Traffic Grapher)

Network Performance Monitoring

Network performance measurement and visualization (MRTG, Network Weather Map)

Simple prediction of network performance

Problem Definition and Goal Problem Definition No satisfactory solution available for network performance forecast Currently, low accuracy of forecasting network traffic with static policies (thresholds) Goal Development of network traffic forecasting system with high accuracy by dynamic policy planning CSED499 DPNM Lab.

Problem Definition

No satisfactory solution available for network performance forecast

Currently, low accuracy of forecasting network traffic with static policies (thresholds)

Goal

Development of network traffic forecasting system with high accuracy by dynamic policy planning

Method Notification network trouble in advance with high accuracy Collect network traffic data from network elements by SNMP Apply various algorithms for dynamic planning Compare and evaluate each method Find an optimal solution Use the forecast value as a dynamic threshold (notification before event) Validation Apply this method to NMS for POSTECH Network CSED499 DPNM Lab.

Notification network trouble in advance with high accuracy

Collect network traffic data from network elements by SNMP

Apply various algorithms for dynamic planning

Compare and evaluate each method

Find an optimal solution

Use the forecast value as a dynamic threshold (notification before event)

Validation

Apply this method to NMS for POSTECH Network

Contribution Dynamic Network Policy Planning (For manager) Control Limitation Optimization Network planning Prevention from overuse of network resources (For user) CSED499 DPNM Lab.

Dynamic Network Policy Planning (For manager)

Control

Limitation

Optimization

Network planning

Prevention from overuse of network resources (For user)

Schedule 3 rd week – present project proposal 4~5 th week(4.4) – Survey related work 6 th ~7 th week – Select appropriate algorithms and improvement 8~10 th week(5.9) – Implementation of NMS 11~12 th week – Test NMS & Gather traffic data of POSTECH 13~15 th week – Apply & Analyze various methods 16 th week – Demo & final presentation CSED499 DPNM Lab.

3 rd week – present project proposal

4~5 th week(4.4) – Survey related work

6 th ~7 th week – Select appropriate algorithms and improvement

8~10 th week(5.9) – Implementation of NMS

11~12 th week – Test NMS & Gather traffic data of POSTECH

13~15 th week – Apply & Analyze various methods

16 th week – Demo & final presentation

Thank You !