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An Instrumentation and Measurement Architecture Supporting Multiple Control Monitoring Frameworks XXX Brazilian Symposium on Computer Networks and Distributed.

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Presentation on theme: "An Instrumentation and Measurement Architecture Supporting Multiple Control Monitoring Frameworks XXX Brazilian Symposium on Computer Networks and Distributed."— Presentation transcript:

1 An Instrumentation and Measurement Architecture Supporting Multiple Control Monitoring Frameworks XXX Brazilian Symposium on Computer Networks and Distributed Systems III Workshop de Pesquisa Experimental da Internet do Futuro (WPEIF 2012) May 4th, 2012

2 Authors Marcelo M. Pinheiro 14, Igor L. E. Macêdo 1, Igor L. O. Souza 1, Thiago S. Hohlenweger 13, Paulo R. R. Leite 1, Adriano L. Spínola 1, Herbert Monteiro 1, Raphael A. Dourado 2, Leobino N. Sampaio 4, José A. Suruagy Monteiro 2 and Joberto S. B. Martins 1 1 Salvador University (UNIFACS) 2 Federal University of Pernambuco (UFPE) 3 Federal Institute of Bahia (IFBA) 4 Federal University of Bahia (UFBA)

3 FIBRE-BR will possibly use three different control and monitoring frameworks in its nine islands –OFELIA Control Framework –cOntrol and Management Framework (OMF) and –ProtoGENI Each one takes a different approach in addressing I&M requirements and demands Each CMF has its own monitoring capabilities How to put all these together? Motivation

4 An Instrumentation and Measurement Architecture Supporting Multiple Control Monitoring Frameworks Our target is: –to provide, possibly, with a maximum reuse of the available CMFs I&M services over a new integrated and federated network structure; –To provide instrumentation and monitoring considering different I&M Services through FIBRE- BR (Monitoring Orchestration); –Multiple CMFs I&M data integration. Goal

5 FIBRE-BR I&M ARCHITECTURE

6

7 Measurement Data Integration Point (MDIP) -conforms the collected data from the available CMFs to FIBRE-BR I&M standard format (NM-WG), representation and distribution (including visualization). -This service includes all measurement data processing related aspects such as, message format, message transport protocol and/or service, access privileges and common data storage or on-the-fly data distribution. 1

8 The security and police service will use the global definitions implemented and controlled by the ClearingHouse (CH definition - is both an entity and a system consisting of software, operations, and policy to broker trust between federation partners.) Some services that are going to be used by the I&M Architecture: Trust relationship (CA, SASL, etc) Identity credentials Integrated authentication/authorization Federation level policies Slice behavior Data access policy Policy enforcement FIBRE-BR policy document 2

9 The Orchestration and Configuration Services act on behalf of the users allowing them to configure, to define measurement points, and to orchestrate these measurement data collection facilities according to each individual CMF. Implementation initial ideas: -Use XML pub/sub messaging service, based on XMPP server -Currently supported by OMF GENI 3

10 The I&M Portal main functionality is to provide a user friendly interface to control and access the measured data, according to a defined policy. Data visualization: -From real-time experiments -From data stored Persistent Data repository in each individual CMF (I&M perspective) -Verify privileges access -Available only to authorized users 4

11 The architecture has a storage strategy that allows users to retrieve data from their own or from others previous experiments, according to their access privileges. The persistent storage option is an experimenter decision that must comply with FIBRE-BR retention policy. Implementation steps: MDIP will be in charge of saving it persistently Data retention policy MySQL/RRD/SQLLite3/PostgreSQL database (access from I&M solution) I&M Standard storage Each CMF will keep its storage mechanism. I&M will, eventually, store it centrally or access it based on users demand and/or privilege Logs storage 5

12 OML Overview and OML- MDIP Proposal

13 13 OML was first developed as the measurement component of OMF Today is a stand-alone project (independent) Shortly, it is a framework (set of libraries) to collect and store measurements OML Introduction

14 14 OML MDIP consists basically of one service: OML MA (OML Measurement Archive) − It’s responsible for receiving and sending the requests and responses − When it receives the requests, the MA queries OML Server DB and then uses standard perfSONAR messages to communicate with FIBRE-BR I&M Services − The response is sent to the MDIP, in order to be stored persistently in FIBRE-BR I&M repository (if demanded) OML MDIP Proposal(1)

15 15 OML MDIP Proposal(2)

16 16 -FIBRE-BR I&M Architecture is designed to configure and collected data from different CMFs. -It is intended to be an instrumentation and measurement evolutionary architecture -There are a lot of challenges to overcome! Conclusions

17 Thank you / Obrigado

18 Backup slides

19 ProtoGENI I&M Architecture and Tools

20 There are several GENI I&M related projects compatible with ProtoGENI. The most important ones are: –INSTOOLS –LAMP –OneTimeMeasure –S3Monitor Some of them are complimentary and will later be integrated to compose a GENI Integrated I&M Framework Introduction

21 Instrumentation Tools (INSTOOLS)

22 INSTOOLS’ high-level goal: –Make it easy for users to see what is going on in their experiment – i.e., make it trivial to monitor a slice What can INSTOOLS measure? –Note that INSTOOLS is concerned only about passive measurements INSTOOLS’ philosophy –Don’t reinvent the wheel Overview

23 Architecture (overview) Experimenter Measurement Plane connections Measurement Plane connections Data Plane connections Data Plane connections MC Portal: single interface for all MCs in a slice Slice’s nodes (instrumentized to act also as MPs) Slice’s nodes (instrumentized to act also as MPs) Measurement Controller (MC) = GENI MAP+MC Automatically deployed by INSTOOLS (at least one per aggregate) Measurement Controller (MC) = GENI MAP+MC Automatically deployed by INSTOOLS (at least one per aggregate)

24 INSTOOLS Web Portal

25 LAMP

26 LAMP stands for “Leveraging and Abstracting Measurements with perfSONAR” The main goal is to “create an instrumentation and measurement system, based on perfSONAR, for use by experimenters on ProtoGENI” Which tools does LAMP support? –OWAMP, BWCTL, Ganglia, PingER, NTP; ps-BUOY MA; etc So... what’s the difference between LAMP and pS-PSToolkit? –LAMP adapted perfSONAR-PS software suite to recognize GENI’s Authentication and Authorization model and infrastructure –Added Ganglia as a host monitoring solution –Added distributed configuration through annotations in the topology stored in UNIS –These annotations make it easy for users to save their slice configuration and load it at a different slice Overview

27 Architecture (a broader view) ProtoGENI UNIS Slice 1 Slice 2 Slice n Node with LAMP tools + LAMP Portal enabled UNIS keeps information about ALL slices Note that it is possible to have more than one node running the Web Portal Not every node has to be “instrumentized” This node has only “Measurement Plane interfaces”

28 LAMP Portal Each node has as set of (possible different) measurement tools enabled

29 OneTimeMeasure and S3Monitor

30 OneTimeMeasure and S3Monitor

31 Integrating with FIBRE-BR I&M architecture

32 INSTOOLS MDIP ProtoGENI Fibre I&M Architecture Slice (INSTOOLS) INSTOOLS Meas Controller RRD ProtoGENI MDIP RRD Collector FIBRE I&M Data Repository SQL DB SQL Collector 1.MC collects measurement data from the MPs 2.MDIP (through his collectors) collects measurement data, makes any necessary format adjustments and 3.Stores the data in the permanent repository (if demanded) 4.Measurement data can be accessed through the Visualization Portal 3 3 Visualization Portal 4 4

33 LAMP MDIP ProtoGENI Fibre I&M Architecture Slice ProtoGENI MDIP FIBRE I&M Data Repository FIBRE I&M Data Repository NMWG Generic Collector UNIS MP LAMP Web Portal SNMP MA ps-BUOY MA Ganglia MA PingER MA MA-specific defs 1.Fetch experiment description from UNIS 2.Start copying measurement data from MAs 3.Stores the data in the permanent repository (if demanded) Visualization Portal

34 OFELIA I&M Architecture Igor Luiz (UNIFACS)

35 35 NOWADAYS  Backend Infrastructure Monitoring (servers, switches, links) - ZENOSS (not integrated to OCF)  OFELIA´s experiment monitoring: Still under discussion and development - Still under discussion and development OFELIA I&M STATUS

36 36 FIBRE I&M possible alternatives for OFELIA CMF are (in discussion): − Focus on FlowVisor and OF-related basic measurements parameters (pragmatic approach) − Incorporate current OFELIA monitoring developments (need to identify them) − Align with OFELIA current developments OFELIA & FIBRE I&M OFELIA I&M technical possibilities/discussions: − OML − sFlow − perfSONAR − LAMP −... !?


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