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An overview of the commercial cloud monitoring tools: research dimensions, design issues, and state-of-the-art
University of New South Wales, Sydney.
CSIRO, Canberra.
Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Computer Science.ORCID iD: 0000-0003-3489-7429
University of New South Wales, Sydney.
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2015 (English)In: Computing, ISSN 0010-485X, E-ISSN 1436-5057, Vol. 97, no 4, p. 357-377Article in journal (Refereed) Published
Abstract [en]

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.

Place, publisher, year, edition, pages
2015. Vol. 97, no 4, p. 357-377
National Category
Media and Communication Technology
Research subject
Mobile and Pervasive Computing
Identifiers
URN: urn:nbn:se:ltu:diva-4838DOI: 10.1007/s00607-014-0398-5ISI: 000351513300003Scopus ID: 2-s2.0-84925291770Local ID: 2d58a15e-23d3-48d6-b837-3add9e9ebfc8OAI: oai:DiVA.org:ltu-4838DiVA, id: diva2:977712
Note
Validerad; 2015; Nivå 2; 20140423 (andbra)Available from: 2016-09-29 Created: 2016-09-29 Last updated: 2018-07-10Bibliographically approved

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Mitra, Karan

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