research-article

A vision for monitoring cloud application platforms as sensor networks

Authors:

Iraklis ParaskakisAuthors Info & Claims

CAC '13: Proceedings of the 2013 ACM Cloud and Autonomic Computing Conference

Article No.: 25, Pages 1 - 8

https://doi.org/10.1145/2494621.2494647

Published: 09 August 2013 Publication History

Abstract

Autonomic management of clouds has received a lot of attention by both academia and industry putting a lot of efforts into investigation of various solutions, even though the focus has been mainly on the IaaS level, while the PaaS level being less often addressed. However, with ever-expanding software environments of cloud application platforms, the self-management at the PaaS level becomes a major concern. We claim that run-time monitoring and detection of critical situations is a fundamental requirement to achieve autonomic behaviour in service-based cloud platforms. Accordingly, we present our novel vision of cloud application platforms as sensor networks -- computer accessible networks of distributed devices using sensors to monitor conditions at different locations. The vision is based on the similarities between the problem domain of cloud application platform monitoring and such sensor-enabled domains as traffic surveillance, environmental monitoring or home automation. We also discuss potential benefits and shortcomings associated with the presented concepts and ideas.

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Cited By

Dautov RParaskakis IStannett M(2018)Utilising stream reasoning techniques to underpin an autonomous framework for cloud application platformsJournal of Cloud Computing: Advances, Systems and Applications10.1186/s13677-014-0013-53:1(1-12)Online publication date: 11-Dec-2018
https://dl.acm.org/doi/10.1186/s13677-014-0013-5
Almalki JShen H(2018)Developing Cross-Organisational Service-Based Software Systems through Decentralised Interface-Oriented Continuous Integration2018 25th Australasian Software Engineering Conference (ASWEC)10.1109/ASWEC.2018.00033(191-200)Online publication date: Nov-2018
https://doi.org/10.1109/ASWEC.2018.00033
Dautov RDistefano SBruneo DLongo FMerlino GPuliafito A(2018)Data agility through clustered edge computing and stream processingConcurrency and Computation: Practice and Experience10.1002/cpe.509333:7(1-1)Online publication date: 3-Dec-2018
https://doi.org/10.1002/cpe.5093
Show More Cited By

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A vision for monitoring cloud application platforms as sensor networks

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cover image ACM Other conferences

CAC '13: Proceedings of the 2013 ACM Cloud and Autonomic Computing Conference

August 2013

247 pages

ISBN:9781450321723

DOI:10.1145/2494621

General Chair:
Salim Hariri
University of Arizona
,
Program Chair:
Alan Sill
Texas Tech University

Copyright © 2013 ACM.

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University of Arizona: University of Arizona
OGF: Open Grid Forum
Florida Intl University: Florida International Univeristy

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 09 August 2013

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Seventh Framework Programme

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CAC '13

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University of Arizona
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Florida Intl University

CAC '13: ACM Cloud and Autonomic Computing Conference

August 5 - 9, 2013

Florida, Miami, USA

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Cited By

Dautov RParaskakis IStannett M(2018)Utilising stream reasoning techniques to underpin an autonomous framework for cloud application platformsJournal of Cloud Computing: Advances, Systems and Applications10.1186/s13677-014-0013-53:1(1-12)Online publication date: 11-Dec-2018
https://dl.acm.org/doi/10.1186/s13677-014-0013-5
Almalki JShen H(2018)Developing Cross-Organisational Service-Based Software Systems through Decentralised Interface-Oriented Continuous Integration2018 25th Australasian Software Engineering Conference (ASWEC)10.1109/ASWEC.2018.00033(191-200)Online publication date: Nov-2018
https://doi.org/10.1109/ASWEC.2018.00033
Dautov RDistefano SBruneo DLongo FMerlino GPuliafito A(2018)Data agility through clustered edge computing and stream processingConcurrency and Computation: Practice and Experience10.1002/cpe.509333:7(1-1)Online publication date: 3-Dec-2018
https://doi.org/10.1002/cpe.5093
Dautov RDistefano SHamdan HBoubiche DKlett F(2017)Three-level hierarchical data fusion through the IoT, edge, and cloud computingProceedings of the 1st International Conference on Internet of Things and Machine Learning10.1145/3109761.3158388(1-5)Online publication date: 17-Oct-2017
https://dl.acm.org/doi/10.1145/3109761.3158388
Lombardi FDi Pietro R(2016)Trusted, Heterogeneous, and Autonomic Mobile CloudSecure System Design and Trustable Computing10.1007/978-3-319-14971-4_14(439-455)Online publication date: 2016
https://doi.org/10.1007/978-3-319-14971-4_14
Dautov RParaskakis IStannett M(2014)Cloud Sensor Ontology and Linked Data to Support Autonomicity in Cloud Application PlatformsKnowledge Engineering and the Semantic Web10.1007/978-3-319-11716-4_3(29-43)Online publication date: 2014
https://doi.org/10.1007/978-3-319-11716-4_3
Dautov RParaskakis IStannett M(2013)Utilising Stream Reasoning Techniques to Create a Self-Adaptation Framework for Cloud EnvironmentsProceedings of the 2013 IEEE/ACM 6th International Conference on Utility and Cloud Computing10.1109/UCC.2013.106(375-380)Online publication date: 9-Dec-2013
https://dl.acm.org/doi/10.1109/UCC.2013.106

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