Dautov, R., Paraskakis, I. and Stannett, M. (2014) Towards a framework for monitoring cloud application platforms as sensor networks. Cluster Computing, 17 (4). 1203 - 1213. ISSN 1386-7857
Abstract
With the continued growth in software environments on cloud application platforms, self-management at the Platform-as-a-Service (PaaS) level has become a pressing concern, and the run-time monitoring, analysis and detection of critical situations are all fundamental requirements if we are to achieve autonomic behaviour in complex PaaS environments. In this paper we focus on cloud application platforms offering their customers a range of generic built-in re-usable services. By identifying key characteristics of these complex dynamic systems, we compare cloud application platforms to distributed sensor networks, and investigate the viability of exploiting these similarities with a case study. We treat cloud data storage services as “virtual” sensors constantly emitting monitoring data, such as numbers of connections and storage space availability, which are then analysed by the central component of a monitoring framework so as to detect and react to SLA violations. We discuss the potential benefits, as well as some shortcomings, of adopting this approach.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © Springer Science+Business Media New York 2014. This is an author produced version of a paper subsequently published in Cluster Computing. Uploaded in accordance with the publisher's self-archiving policy. |
Keywords: | Cloud application platforms; Service-oriented computing; Autonomic computing; Monitoring; Sensor network; Sensor web |
Dates: |
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Institution: | The University of Sheffield |
Academic Units: | The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Computer Science (Sheffield) |
Depositing User: | Symplectic Sheffield |
Date Deposited: | 29 Oct 2015 14:27 |
Last Modified: | 25 Mar 2018 05:40 |
Published Version: | http://dx.doi.org/10.1007/s10586-014-0389-5 |
Status: | Published |
Publisher: | Springer Verlag |
Refereed: | Yes |
Identification Number: | 10.1007/s10586-014-0389-5 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:91211 |