A survey of cloud monitoring tools: Taxonomy, capabilities and objectives.

Journal article


Fatema, Kaniz, Emeakaroha, Vincent C., Healy, Philip D., Morrison, John P. and Lynn, Theo 2014. A survey of cloud monitoring tools: Taxonomy, capabilities and objectives. Journal of Parallel and Distributed Computing. https://doi.org/10.1016/j.jpdc.2014.06.007
AuthorsFatema, Kaniz, Emeakaroha, Vincent C., Healy, Philip D., Morrison, John P. and Lynn, Theo
Abstract

The efficient management of Cloud infrastructure and deployments is a topic that is currently attracting significant interest. Complex Cloud deployments can result in an intricate layered structure. Understanding the behaviour of these hierarchical systems and how to manage them optimally are challenging tasks that can be facilitated by pervasive monitoring. Monitoring tools and techniques have an important role to play in this area by gathering the information required to make informed decisions. A broad variety of monitoring tools are available, from general-purpose infrastructure monitoring tools that predate Cloud computing, to high-level application monitoring services that are themselves hosted in the Cloud. Surveying the capabilities of monitoring tools can identify the fitness of these tools in serving certain objectives. Monitoring tools are essential components to deal with various objectives of both Cloud providers and consumers in different Cloud operational areas. We have identified the practical capabilities that an ideal monitoring tool should possess to serve the objectives in these operational areas. Based on these identified capabilities, we present a taxonomy and analyse the monitoring tools to determine their strength and weaknesses. In conclusion, we present our reflections on the analysis, discuss challenges and identify future research trends in the area of Cloud monitoring.

KeywordsCloud management; Cloud computing; Monitoring tools; Cloud operational areas; Taxonomy; Surveys
Year2014
JournalJournal of Parallel and Distributed Computing
PublisherElsevier
ISSN07437315
Digital Object Identifier (DOI)https://doi.org/10.1016/j.jpdc.2014.06.007
Web address (URL)http://hdl.handle.net/10545/622889
hdl:10545/622889
Publication dates05 Jul 2014
Publication process dates
Deposited10 Aug 2018, 14:13
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Archived with thanks to Journal of Parallel and Distributed Computing

ContributorsUniversity College Cork and Dublin City University
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