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Authors: Santiago Goméz Sáez ; Vasilios Andrikopoulos and Frank Leymann

Affiliation: University of Stuttgart, Germany

Keyword(s): Cloud Application Topology, Cloud Application Distribution, Cloud Application Performance Engineering, Cloud Application Workload.

Related Ontology Subjects/Areas/Topics: Cloud Computing ; Fundamentals ; QoS for Applications on Clouds

Abstract: The increase of available Cloud services and providers has contributed to accelerate the development and has broaden the possibilities for building and provisioning Cloud applications in heterogeneous Cloud environments. The necessity for satisfying business and operational requirements in an agile and rapid manner has created the need for adapting traditional methods and tooling support for building and provisioning Cloud applications. Focusing on the application's performance and its evolution, we observe a lack of support for specifying, capturing, analyzing, and reasoning on the impact of using different Cloud services and configurations. This paper bridges such a gap by proposing the conceptual and tooling support to enhance Cloud application topology models to capture and analyze the evolution of the application's performance. The tooling support is built upon an existing modeling environment, which is subsequently evaluated using the MediaWiki (Wikipedia) application and its r ealistic workload. (More)

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Paper citation in several formats:
Goméz Sáez, S.; Andrikopoulos, V. and Leymann, F. (2016). Consolidation of Performance and Workload Models in Evolving Cloud Application Topologies. In Proceedings of the 6th International Conference on Cloud Computing and Services Science - Volume 1: CLOSER; ISBN 978-989-758-182-3; ISSN 2184-5042, SciTePress, pages 160-169. DOI: 10.5220/0005803501600169

@conference{closer16,
author={Santiago {Goméz Sáez}. and Vasilios Andrikopoulos. and Frank Leymann.},
title={Consolidation of Performance and Workload Models in Evolving Cloud Application Topologies},
booktitle={Proceedings of the 6th International Conference on Cloud Computing and Services Science - Volume 1: CLOSER},
year={2016},
pages={160-169},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005803501600169},
isbn={978-989-758-182-3},
issn={2184-5042},
}

TY - CONF

JO - Proceedings of the 6th International Conference on Cloud Computing and Services Science - Volume 1: CLOSER
TI - Consolidation of Performance and Workload Models in Evolving Cloud Application Topologies
SN - 978-989-758-182-3
IS - 2184-5042
AU - Goméz Sáez, S.
AU - Andrikopoulos, V.
AU - Leymann, F.
PY - 2016
SP - 160
EP - 169
DO - 10.5220/0005803501600169
PB - SciTePress