Logging System Architectures for Infrastructure as a Service Cloud

Authors

  • Winai Wongthai Department of Computer Science and Information Technology and Research Center for Academic Excellence in Nonlinear Analysis and Optimization, Naresuan University, Thailand. School of Computing Science, Newcastle University, UK.
  • Aad van Moorsel Department of Computer Science and Information Technology and Research Center for Academic Excellence in Nonlinear Analysis and Optimization, Naresuan University, Thailand. School of Computing Science, Newcastle University, UK.

Keywords:

Cloud Monitoring, Accountability, Logging System Architecture,

Abstract

This paper proposes 93 possible architectures of a logging system in the cloud. The architectures can enable the systematic design, implementation and deployment of logging systems in the cloud. These architectures can be used to guide the future design and development of such logging systems. This should decrease the effort and time commitments required for the deployment of logging systems. This also can tenable logging systems to work in real world cloud production systems. To the best of our knowledge, these 93 architectures are not yet described in the literature.

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Published

2017-06-01

How to Cite

Wongthai, W., & van Moorsel, A. (2017). Logging System Architectures for Infrastructure as a Service Cloud. Journal of Telecommunication, Electronic and Computer Engineering (JTEC), 9(2-4), 35–40. Retrieved from https://jtec.utem.edu.my/jtec/article/view/2355