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Abstract Keywords 1. Introduction 2. Application profiling 3. Application profiling models and tech… 4. Challenges and directions for cloud b… 5. Conclusion References
Journal of Network and Computer Applications Available online 13 October 2014 In Press, Accepted Manuscript — Note to users
Cloud resource management: a survey on forecasting and profiling models Rafael Weingärtner
Figures and tables
,
, Gabriel Beims Bräscher
, Carlos Becker Westphall
Networks and Management Laboratory, Federal University of Santa Catarina Florianpolis, Santa Catarina, Brazil
Received 11 March 2014, Revised 5 August 2014, Accepted 26 September 2014, Available online 13 October 2014 Show less
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DOI: 10.1016/j.jnca.2014.09.018
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Abstract With the rise of cloud computing, a huge complexity growth of the structure that is the base of the Cloud happens. Thus, to effectively manage applications and resources it is crucial the use of models and tools that create an application profile which is used to apply forecasting models to determine the most suitable amount of resource for each workload. There are models and tools that address the creation of an application profile to later apply some forecasting technique and estimate the amount of resource needed for a workload. Therefore, this article aims to present a taxonomy for application profiling models and tools, presenting its main characteristics, challenges, describing and comparing such models and tool. At the end this work presents a discussion about the use of application profiling and its future research trends.
Keywords Application profiling; Forecasting; Cloud computing; Cloud management Corresponding author. Copyright © 2014 Published by Elsevier Ltd. Note to users: Accepted manuscripts are Articles in Press that have been peer reviewed and accepted for publication by the Editorial Board of this publication. They have not yet been copy edited and/or formatted in the publication house style, and may not yet have the full ScienceDirect functionality, e.g., supplementary files may still need to be added, links to references may not resolve yet etc. The text could still change before final publication. Although accepted manuscripts do not have all bibliographic details available yet, they can already be cited using the year of online publication and the DOI, as follows: author(s), article title, Publication (year), DOI. Please consult the journal's reference style for the exact appearance of these elements, abbreviation of journal names and use of punctuation. When the final article is assigned to an volumes/issues of the Publication, the Article in Press version will be removed and the final version will appear in the associated published volumes/issues of the Publication. The date the article was first made available online will be carried over.
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Cloud resource management: a survey on forecasting and profiling models Elsevier B.V.
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