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International Workshop on Adaptive Resource Management and Scheduling for Cloud Computing

ARMS-CC 2014: Adaptive Resource Management and Scheduling for Cloud Computing pp 128–143Cite as

Analysing Scalability Strategies for Service Choreographies on Cloud Environments

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Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 8907))

Abstract

Scalability is one of the major advantages brought by cloud computing environments. This advantage can be even more evident when considering the composition of services through choreographies. However, when dealing with applications that have quality of service concerns scalability needs to be performed in an efficient way considering both horizontal scaling - adding new virtual machines with additional resources, and vertical scaling - adding/removing resources from existing virtual machines. By efficiency we mean that non-functional properties must be offered in the choreographies while is made effective/improved resource usage. This paper discusses scalability strategies to enact service choreographies using cloud resources. We present efforts at the state of the art technology and an analysis of the outcomes in adopting different strategies of resource scaling. We also present experiments using a modified version of CloudSim to demonstrate the effectiveness of these strategies in terms of resource usage and the non-functional properties of choreographies.

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Notes

  1. 1.

    In the Google Compute Engine horizontal auto scaling is implemented as an application from App Engine.

  2. 2.

    This estimation is using Amazon EC2 resources in São Paulo (Brazil) availability zone in February/2014.

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Author information

Authors and Affiliations

  1. Instituto de Informática, Universidade Federal de Goiás, Goiânia, Brazil

    Raphael Gomes, Fabio Costa & Ricardo Rocha

  2. Instituto Federal de Goiás, Itumbiara, Brazil

    Raphael Gomes

Authors
  1. Raphael Gomes
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  2. Fabio Costa
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  3. Ricardo Rocha
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Corresponding author

Correspondence to Raphael Gomes .

Editor information

Editors and Affiliations

  1. Computer Science Department, University Politehnica of Bucharest, Bucharest, Romania

    Florin Pop

  2. Sorbonne Universités, Université Pierre et Marie CURIE, Paris, France

    Maria Potop-Butucaru

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Gomes, R., Costa, F., Rocha, R. (2014). Analysing Scalability Strategies for Service Choreographies on Cloud Environments. In: Pop, F., Potop-Butucaru, M. (eds) Adaptive Resource Management and Scheduling for Cloud Computing. ARMS-CC 2014. Lecture Notes in Computer Science(), vol 8907. Springer, Cham. https://doi.org/10.1007/978-3-319-13464-2_10

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  • DOI: https://doi.org/10.1007/978-3-319-13464-2_10

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-13463-5

  • Online ISBN: 978-3-319-13464-2

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