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Real-time QoS Monitoring for Cloud-based Big Data Analytics Application in Mobile Environments
School of Computer Science and Engineering, University of New South Wales.
CSIRO Computational Informatics, Canberra.
CSIRO Computational Informatics, Canberra.
Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Computer Science.ORCID iD: 0000-0003-3489-7429
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2014 (English)In: 2014 15th IEEE International Conference on Mobile Data Management (MDM 2014): Brisbane, Australia 15 -18 July 2014, Piscataway, NY: IEEE Communications Society, 2014, Vol. 1, p. 337-340, article id 6916940Conference paper, Published paper (Refereed)
Abstract [en]

The service delivery model of cloud computing acts as a key enabler for big data analytics applications enhancing productivity, efficiency and reducing costs. The ever increasing flood of data generated from smart phones and sensors such as RFID readers, traffic cams etc require innovative provisioning and QoS monitoring approaches to continuously support big data analytics. To provide essential information for effective and efficient bid data analytics application QoS monitoring, in this paper we propose and develop CLAMS-Cross-Layer Multi-Cloud Application Monitoring-as-a-Service Framework. The proposed framework: (a) performs multi-cloud monitoring, and (b) addresses the issue of cross-layer monitoring of applications. We implement and demonstrate CLAMS functions on real-world multi-cloud platforms such as Amazon and Azure.

Place, publisher, year, edition, pages
Piscataway, NY: IEEE Communications Society, 2014. Vol. 1, p. 337-340, article id 6916940
Series
I E E E International Conference on Mobile Data Management. Proceedings, ISSN 1551-6245
National Category
Media and Communication Technology
Research subject
Mobile and Pervasive Computing
Identifiers
URN: urn:nbn:se:ltu:diva-32461DOI: 10.1109/MDM.2014.74ISI: 000358404800044Scopus ID: 84907968402Local ID: 6f770507-cf17-4824-8324-27561ff98b5cISBN: 978-1-4799-5705-7 (print)OAI: oai:DiVA.org:ltu-32461DiVA, id: diva2:1005695
Conference
International Conference on Mobile Data Management : 14/07/2014 - 18/07/2014
Note
Godkänd; 2014; 20140916 (karan)Available from: 2016-09-30 Created: 2016-09-30 Last updated: 2018-07-10Bibliographically approved

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Mitra, Karan

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CiteExportLink to record
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Citation style
  • apa
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