Real-time QoS monitoring for cloud-based big data analytics applications in mobile environments

Khalid Alhamazani*, Rajiv Ranjan, Prem Prakash Jayaraman, Karan Mitra, Meisong Wang, Zhiqiang George Huang, Lizhe Wang, Fethi Rabhi

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

12 Citations (Scopus)

Abstract

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.

Original languageEnglish
Title of host publicationProceedings - 2014 IEEE 15th International Conference on Mobile Data Management, IEEE MDM 2014
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages337-340
Number of pages4
ISBN (Electronic)9781479957057
DOIs
Publication statusPublished - 5 Oct 2014
Externally publishedYes
Event15th IEEE International Conference on Mobile Data Management, IEEE MDM 2014 - Brisbane, Australia
Duration: 15 Jul 201418 Jul 2014

Publication series

NameProceedings - IEEE International Conference on Mobile Data Management
Volume1
ISSN (Print)1551-6245

Conference

Conference15th IEEE International Conference on Mobile Data Management, IEEE MDM 2014
Country/TerritoryAustralia
CityBrisbane
Period15/07/1418/07/14

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