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Authors: Patrizia Scandurra 1 ; Claudia Raibulet 2 ; Pasqualina Potena 1 ; Raffaela Mirandola 3 and Rafael Capilla 4

Affiliations: 1 Università degli Studi di Bergamo, Italy ; 2 Università degli Studi di Milano-Bicocca, Italy ; 3 Politecnico di Milano, Italy ; 4 Universidad Rey Juan Carlos, Spain

Keyword(s): Cloud Computing, Software Adaptation, Resource Allocation, Service-oriented Component Architecture.

Related Ontology Subjects/Areas/Topics: Cloud Application Architectures ; Cloud Applications Performance and Monitoring ; Cloud Computing ; Cloud Computing Architecture ; Cloud Computing Enabling Technology ; Cloud Ilities (Scalability, Availability, Reliability) ; Fundamentals ; Platforms and Applications

Abstract: Cloud computing is getting an enormous popularity for software companies as a way to save and optimize the cost of large hardware and software infrastructure organizations demand. Also, the cooperation between cloud layers constitutes a timely research challenge as allocation and optimization of (often virtualized) resources is many times done in isolation or with poor interaction. In this paper we propose a framework that adapts a cloud-based software application by providing an enhanced assembly of resources using the Pareto-optimal solution to optimize the resource allocation with tight cooperation between the cloud layers.

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Paper citation in several formats:
Scandurra, P.; Raibulet, C.; Potena, P.; Mirandola, R. and Capilla, R. (2012). ADAPTING CLOUD-BASED APPLICATIONS THROUGH A COORDINATED AND OPTIMIZED RESOURCE ALLOCATION APPROACH. In Proceedings of the 2nd International Conference on Cloud Computing and Services Science - CLOSER; ISBN 978-989-8565-05-1; ISSN 2184-5042, SciTePress, pages 355-364. DOI: 10.5220/0003919903550364

@conference{closer12,
author={Patrizia Scandurra. and Claudia Raibulet. and Pasqualina Potena. and Raffaela Mirandola. and Rafael Capilla.},
title={ADAPTING CLOUD-BASED APPLICATIONS THROUGH A COORDINATED AND OPTIMIZED RESOURCE ALLOCATION APPROACH},
booktitle={Proceedings of the 2nd International Conference on Cloud Computing and Services Science - CLOSER},
year={2012},
pages={355-364},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003919903550364},
isbn={978-989-8565-05-1},
issn={2184-5042},
}

TY - CONF

JO - Proceedings of the 2nd International Conference on Cloud Computing and Services Science - CLOSER
TI - ADAPTING CLOUD-BASED APPLICATIONS THROUGH A COORDINATED AND OPTIMIZED RESOURCE ALLOCATION APPROACH
SN - 978-989-8565-05-1
IS - 2184-5042
AU - Scandurra, P.
AU - Raibulet, C.
AU - Potena, P.
AU - Mirandola, R.
AU - Capilla, R.
PY - 2012
SP - 355
EP - 364
DO - 10.5220/0003919903550364
PB - SciTePress

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