GMonE: a complete approach to cloud monitoring

Montes, Jesús; Sánchez, Alberto; Memishi, Bunjamin; Pérez Hernández, María de los Santos y Antoniu, Gabriel (2013). GMonE: a complete approach to cloud monitoring. "Future Generation Computer Systems", v. 29 (n. 8); pp. 2026-2040. ISSN 0167-739X. https://doi.org/10.1016/j.future.2013.02.011.

Descripción

Título: GMonE: a complete approach to cloud monitoring
Autor/es:
  • Montes, Jesús
  • Sánchez, Alberto
  • Memishi, Bunjamin
  • Pérez Hernández, María de los Santos
  • Antoniu, Gabriel
Tipo de Documento: Artículo
Título de Revista/Publicación: Future Generation Computer Systems
Fecha: 2013
Volumen: 29
Materias:
Palabras Clave Informales: Cloud computing; Monitoring
Escuela: Facultad de Informática (UPM) [antigua denominación]
Departamento: Arquitectura y Tecnología de Sistemas Informáticos
Licencias Creative Commons: Reconocimiento - Sin obra derivada - No comercial

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Resumen

The inherent complexity of modern cloud infrastructures has created the need for innovative monitoring approaches, as state-of-the-art solutions used for other large-scale environments do not address specific cloud features. Although cloud monitoring is nowadays an active research field, a comprehensive study covering all its aspects has not been presented yet. This paper provides a deep insight into cloud monitoring. It proposes a unified cloud monitoring taxonomy, based on which it defines a layered cloud monitoring architecture. To illustrate it, we have implemented GMonE, a general-purpose cloud monitoring tool which covers all aspects of cloud monitoring by specifically addressing the needs of modern cloud infrastructures. Furthermore, we have evaluated the performance, scalability and overhead of GMonE with Yahoo Cloud Serving Benchmark (YCSB), by using the OpenNebula cloud middleware on the Grid’5000 experimental testbed. The results of this evaluation demonstrate the benefits of our approach, surpassing the monitoring performance and capabilities of cloud monitoring alternatives such as those present in state-of-the-art systems such as Amazon EC2 and OpenNebula.

Más información

ID de Registro: 29165
Identificador DC: http://oa.upm.es/29165/
Identificador OAI: oai:oa.upm.es:29165
Identificador DOI: 10.1016/j.future.2013.02.011
URL Oficial: http://www.journals.elsevier.com/future-generation-computer-systems/
Depositado por: Memoria Investigacion
Depositado el: 17 Jun 2014 12:22
Ultima Modificación: 04 Mar 2015 16:09
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