An overview of the commercial cloud monitoring tools: Research dimensions, design issues, and state-of-the-art

Alhamazani, K, Ranjan, R, Mitra, K, Rabhi, F, Jayaraman, P, Khan, S, Guabtni, A and Bhatnagar, V 2015, 'An overview of the commercial cloud monitoring tools: Research dimensions, design issues, and state-of-the-art', Computing, vol. 97, no. 4, pp. 357-377.


Document type: Journal Article
Collection: Journal Articles

Title An overview of the commercial cloud monitoring tools: Research dimensions, design issues, and state-of-the-art
Author(s) Alhamazani, K
Ranjan, R
Mitra, K
Rabhi, F
Jayaraman, P
Khan, S
Guabtni, A
Bhatnagar, V
Year 2015
Journal name Computing
Volume number 97
Issue number 4
Start page 357
End page 377
Total pages 21
Publisher Springer
Abstract Cloud monitoring activity involves dynamically tracking the Quality of Service (QoS) parameters related to virtualized resources (e.g., VM, storage, network, appliances, etc.), the physical resources they share, the applications running on them and data hosted on them. Applications and resources configuration in cloud computing environment is quite challenging considering a large number of heterogeneous cloud resources. Further, considering the fact that at given point of time, there may be need to change cloud resource configuration (number of VMs, types of VMs, number of appliance instances, etc.) for meet application QoS requirements under uncertainties (resource failure, resource overload, workload spike, etc.). Hence, cloud monitoring tools can assist a cloud providers or application developers in: (i) keeping their resources and applications operating at peak efficiency, (ii) detecting variations in resource and application performance, (iii) accounting the service level agreement violations of certain QoS parameters, and (iv) tracking the leave and join operations of cloud resources due to failures and other dynamic configuration changes. In this paper, we identify and discuss the major research dimensions and design issues related to engineering cloud monitoring tools. We further discuss how the aforementioned research dimensions and design issues are handled by current academic research as well as by commercial monitoring tools.
Subject Distributed and Grid Systems
Keyword(s) Cloud monitoring
Cloud application monitoring
Cloud resource monitoring
Cloud application provisioning
Cloud monitoring metrics
Quality of service parameters
Service level agreement
DOI - identifier 10.1007/s00607-014-0398-5
Copyright notice © Springer-Verlag Wien 2014
ISSN 0010-485X
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