Centinel: Boron: Release Plan

Centinel: Boron: Release Plan

Contents

Introduction

Aim of Centinel is to assist operators by providing visibility into the OpenDaylight management software defined network ecosystem (network via plugins, apps and infrastructure). To accomplish this, Centinel - Boron aims at a multi phased approach that includes:

  • Data Collection: IPFIX, OpenFlow (from ODL-OF Plugin) and SNMP (from ODL-SNMP Plugin)

  • Data Analysis: Using Kafka, Storm/Spark, Flume (replace Graylog)

  • Analytics Dashboard: Inter-op with DLUX framework and ensure UX/UI (Graphana/Kibana)

  • Machine Learning: Leverage Apache Mahout/SparkMlib to enable machine learning based on above analysis

  • Additionally from usage-deployment, Embedded installation is proposed (Support for Embedded flume agent. Support for embedded installation of Query engine)

  • Framework enhancement -

Enhance Centinel architecture to have two branches A. Batch processing system(BPS)-BPS comprise of flume, hbase. B. Real time analytics system(RAS)- RAS comprise of apache strom (Embed and distributed mode) for real time prediction. In embed mode, storm will be used instead of Graylog server.In distributed mode, user will have both the options for log analysis.

Target Use-Cases

  • Bandwidth utilization across WAN link

  • Performance monitoring

Release Deliverable

Name

Description

Name

Description

Collectors

  • IPFIX Collector: Collects IPFIX datagrams from Network for further analytic.

  • SNMP Collector: Collects data from SNMP plugin.

  • OpenFlow Collector: Collects OpenFlow datagrams from Network for further analytic.

Embedded installation and Framework enhancement support

  • Embedded installation of Flume agent and query engine

  • Enhance Centinel architecture and replace Graylog with Storm.

  • Support for Distributed and Co-resident (Embedded) mode installation

Monitoring and Analytics

  • Provides SDN infrastructure (Server, Network ,Application etc) monitoring and analysis

  • Dashboard to present Analytics and monitoring data

Predictive Analytics

  • Machine Learning: Leverage Apache Mahout/SparkMlib to enable machine learning based on above analysis

 

Release Milestones

Milestone

Offset 2 Date

Deliverables

Milestone

Offset 2 Date

Deliverables

M1

3/24/2016

Name

Status

Description

Intent to participate

Completed

Intent to participate in Boron Simultaneous Release

Candidate Release Plan

Completed

Candidate Release Plan

M2

5/5/2016

Name

Status

Description

Release Plan



Final Release Plan

Design document

Completed'

  • Design document - Collectors (IPFIX collector, SNMP collector, OpenFlow collector)

  • Design document - Monitoring and Analytics.

Feature(s)

Completed

  • IPFIX collector: Implementation of IPFIX collector.

M3

6/2/2016

Name

Status

Description

Code skeleton

Completed

Submit skeleton for Enhancement features.

Implementation

Completed

Submit architectural diagrams for the Centinel enhancement features.

Feature(s)

Completed

  • Framework Enhancement: Kafka consumer/publisher, Strom topology for real-time data analytics

  • Bandwidth utilization across WAN link, Performance monitoring: REST API defined

Unit Test

Completed

Unit Test development of each module

Integration and System test

Completed

Simple system test on a karaf distribution with the project's recommended features installed

M4

6/30/2016

Name

Status

Description

API Freeze



  • REST API from all Centinel Services freeze

Feature(s)



  • Enhance Centinel architecture and replace Graylog with Storm.

  • Support for Distributed and Co-resident (Embedded) mode installation

  • Dashboard to present Analytics and monitoring data

Unit Test



Unit Test development of each module

Integration testing



Manual integration testing

System test



Run a simple system test on a karaf distribution with the project's recommended features installed on Code Merge

Documentation



Create draft documentation of Centinel modules/interfaces

M5

8/4/2016

Name

Status

Description

Code Freeze





Documentation



  • Update Project wiki - User Guide, Installation Guide, Getting Started Guide and Others

  • Updated System Test approach and test cases Wiki page

Feature(s)



  • Machine Learning (post Network monitoring and Analysis) and Predictive Analytics

  • End to End use-cases integration - Bandwidth utilization across WAN link, Performance monitoring

Unit Test



Unit Test development of each module

Integration testing



Manual integration testing.

System test



Run system test for Centinel

RC0

TBD

Name

Status

Description

Deliverable Name



Deliverable Description

RC1

TBD

Name

Status

Description

Deliverable Name



Deliverable Description

RC2

TBD

Name

Status

Description

Release Review



Release Review Description

Deliverable Name



Deliverable Description

Formal Release

TBD

Name

Status

Description

Deliverable Name



Deliverable Description