A survey of cloud network fault diagnostic systems and tools

Recently, cloud computing has become a vital part that supports people’s normal lives and production. However, accompanied by the increasing complexity of the cloud network, failures constantly keep coming up and cause huge economic losses. Thus, to guarantee the cloud network performance and preven...

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Bibliographic Details
Published in:Frontiers of information technology & electronic engineering 2021-08, Vol.22 (8), p.1031-1045
Main Authors: Qi, Yining, Fang, Chongrong, Liu, Haoyu, Kang, Daxiang, Lyu, Biao, Cheng, Peng, Chen, Jiming
Format: Article
Language:English
Subjects:
Cloud computing
Communications Engineering
Computer Hardware
Computer Science
Computer Systems Organization and Communication Networks
Diagnostic software
Diagnostic systems
Economic impact
Electrical Engineering
Electronics and Microelectronics
Instrumentation
Networks
Review
Software
Taxonomy
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Summary:Recently, cloud computing has become a vital part that supports people’s normal lives and production. However, accompanied by the increasing complexity of the cloud network, failures constantly keep coming up and cause huge economic losses. Thus, to guarantee the cloud network performance and prevent execrable effects caused by failures, cloud network diagnostics has become of great interest for cloud service providers. Due to the characteristics of cloud network (e.g., virtualization and multi-tenancy), transplanting traditional network diagnostic tools to the cloud network face several difficulties. Additionally, many existing tools cannot solve problems in the cloud network. In this paper, we summarize and classify the state-of-the-art technologies of cloud diagnostics which can be used in the production cloud network according to their features. Moreover, we analyze the differences between cloud network diagnostics and traditional network diagnostics based on the characteristics of the cloud network. Considering the operation requirements of the cloud network, we propose the points that should be cared about when designing a cloud network diagnostic tool. Also, we discuss the challenges that cloud network diagnostics will face in future development.
ISSN:2095-9184
2095-9230
DOI:10.1631/FITEE.2000153