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An Instrumentation and Measurement Architecture Supporting Multiple Control Monitoring Frameworks

  • Marcelo M. Pinheiro
  • Igor L. E. Macêdo
  • Igor L. O. Souza
  • Thiago S. Hohlenweger
  • Paulo R. R. Leite
  • Adriano L. Spínola
  • Herbert Monteiro
  • Raphael A. Dourado
  • Leobino N. Sampaio
  • José A. Suruagy Monteiro
  • Joberto S. B. Martins
Conference paper
Part of the Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering book series (LNICST, volume 44)

Abstract

Virtual and/or experimental networks capable of supporting an entire new set of applications and services (Future Internet, Grids, Cloud Computing, other) use, typically, different Control and Monitoring Frameworks (CMFs). This poster addresses the multiple federated CMFs instrumentation and measurement problems. A monitoring architecture (FIBRE-BR I&M Architecture) is briefly introduced by illustrating its basic components and services and its capability to integrate different CMF’s I&M Services. FIBRE-BR will use three different control and monitoring frameworks in its nine islands: OFELIA Control Framework, cOntrol and Management Framework (OMF) and ProtoGENI. Our target is to provide monitoring services, possibly, with a maximum reuse of the available CMFs I&M services over a new integrated and federated network structure. Some of the various aspects involved include the virtualized equipment, networks and monitored data; the collected data control access; and, finally, the multiple CMFs I&M data integration. This poster presents the FIBRE-BR I&M Architecture that integrates diverse I&M services, tools and facilities from multiple CMFs, allowing FIBRE-BR users, possibly transparently to each specific CMF, to benefit from the corresponding infrastructure and experiment specific measurement data.

Keywords

Cloud Computing Measurement Problem Management Framework Monitor Data User Friendly Interface 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

Copyright information

© ICST Institute for Computer Science, Social Informatics and Telecommunications Engineering 2012

Authors and Affiliations

  • Marcelo M. Pinheiro
    • 1
  • Igor L. E. Macêdo
    • 1
  • Igor L. O. Souza
    • 1
  • Thiago S. Hohlenweger
    • 1
    • 3
  • 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
  • Joberto S. B. Martins
    • 1
  1. 1.Salvador University (UNIFACS)Brazil
  2. 2.Federal University of Pernambuco (UFPE)Brazil
  3. 3.Federal Institute of Bahia (IFBA)Brazil
  4. 4.Federal University of Bahia (UFBA)Brazil

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