GMonE: a complete approach to cloud monitoring

Montes, Jesús and Sánchez, Alberto and Memishi, Bunjamin and Pérez Hernández, María de los Santos and 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.

Description

Title: GMonE: a complete approach to cloud monitoring
Author/s:
  • Montes, Jesús
  • Sánchez, Alberto
  • Memishi, Bunjamin
  • Pérez Hernández, María de los Santos
  • Antoniu, Gabriel
Item Type: Article
Título de Revista/Publicación: Future Generation Computer Systems
Date: 2013
ISSN: 0167-739X
Volume: 29
Subjects:
Freetext Keywords: Cloud computing; Monitoring
Faculty: Facultad de Informática (UPM)
Department: Arquitectura y Tecnología de Sistemas Informáticos
Creative Commons Licenses: Recognition - No derivative works - Non commercial

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Abstract

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.

More information

Item ID: 29165
DC Identifier: http://oa.upm.es/29165/
OAI Identifier: oai:oa.upm.es:29165
DOI: 10.1016/j.future.2013.02.011
Official URL: http://www.journals.elsevier.com/future-generation-computer-systems/
Deposited by: Memoria Investigacion
Deposited on: 17 Jun 2014 12:22
Last Modified: 04 Mar 2015 16:09
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