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Authors: Toni Mastelic ; Vincent C. Emeakaroha ; Michael Maurer and Ivona Brandic

Affiliation: Vienna University of Technology, Austria

ISBN: 978-989-8565-05-1

Keyword(s): M4Cloud, Cloud Metric Classification, Application Level Metrics, Monitoring.

Related Ontology Subjects/Areas/Topics: Cloud Computing ; Cloud Computing Enabling Technology ; Monitoring of Services, Quality of Service, Service Level Agreements

Abstract: Cloud computing is a promising concept for the implementation of scalable on-demand computing infrastructures, where resources are provided in a self-managing manner based on predefined customers requirements. A Service Level Agreement (SLA), which is established between a Cloud provider and a customer, specifies these requirements. It includes terms like required memory consumption, bandwidth or service availability. The SLA also defines penalties for SLA violations when the Cloud provider fails to provide the agreed amount of resources or quality of service. A current challenge in Cloud environments is to detect any possible SLA violation and to timely react upon it to avoid paying penalties, as well as reduce unnecessary resource consumption by managing resources more efficiently. In resource-shared Cloud environments, where there might be multiple VMs on a single physical machine and multiple applications on a single VM, Cloud providers require mechanisms for monitoring resource a nd QoS metrics for each customer application separately. Currently, there is a lack of generic classification of application level metrics. In this paper, we introduce a novel approach for classifying and monitoring application level metrics in a resource-shared Cloud environment. We present the design and implementation of the generic application level monitoring system. Finally, we evaluate our approach and implementation, and provide a proof of concept and functionality. (More)

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Paper citation in several formats:
Mastelic T., C. Emeakaroha V., Maurer M. and Brandic I. (2012). M4CLOUD - GENERIC APPLICATION LEVEL MONITORING FOR RESOURCE-SHARED CLOUD ENVIRONMENTS.In Proceedings of the 2nd International Conference on Cloud Computing and Services Science - Volume 1: CLOSER, ISBN 978-989-8565-05-1, pages 522-532. DOI: 10.5220/0003928805220532

@conference{closer12,
author={Toni Mastelic and Vincent C. Emeakaroha and Michael Maurer and Ivona Brandic},
title={M4CLOUD - GENERIC APPLICATION LEVEL MONITORING FOR RESOURCE-SHARED CLOUD ENVIRONMENTS},
booktitle={Proceedings of the 2nd International Conference on Cloud Computing and Services Science - Volume 1: CLOSER,},
year={2012},
pages={522-532},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003928805220532},
isbn={978-989-8565-05-1},
}

TY - CONF

JO - Proceedings of the 2nd International Conference on Cloud Computing and Services Science - Volume 1: CLOSER,
TI - M4CLOUD - GENERIC APPLICATION LEVEL MONITORING FOR RESOURCE-SHARED CLOUD ENVIRONMENTS
SN - 978-989-8565-05-1
AU - Mastelic T.
AU - C. Emeakaroha V.
AU - Maurer M.
AU - Brandic I.
PY - 2012
SP - 522
EP - 532
DO - 10.5220/0003928805220532

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