A Preliminary Systematic Review of Computer Science Literature on Cloud Computing Research using Open Source Simulation Platforms

Theo Lynn, Anna Gourinovitch, James Byrne, P. J. Byrne, Sergej Svorobej, Konstaninos Giannoutakis, David Kenny, John Morrison

Abstract

Research and experimentation on live hyperscale clouds is limited by their scale, complexity, value and and issues of commercial sensitivity. As a result, there has been an increase in the development, adaptation and extension of cloud simulation platforms for cloud computing to enable enterprises, application developers and researchers to undertake both testing and experimentation. While there have been numerous surveys of cloud simulation platforms and their features, few surveys examine how these cloud simulation platforms are being used for research purposes. This paper provides a preliminary systematic review of literature on this topic covering 256 papers from 2009 to 2016. The paper aims to provide insights into the current status of cloud computing research using open source cloud simulation platforms. Our two-level analysis scheme includes a descriptive and synthetic analysis against a highly cited taxonomy of cloud computing. The analysis uncovers some imbalances in research and the need for a more granular and refined taxonomy against which to classify cloud computing research using simulators. The paper can be used to guide literature reviews in the area and identifies potential research opportunities for cloud computing and simulation researchers, complementing extant surveys on cloud simulation platforms.

References

  1. Due to the large number of papers reviewed in this study and conference page limitations, the full reference list can be found at http://cloudlightning.eu/dissemination/ publications/simulation-platforms/ (Lynn et al. 2017).
  2. Buyya, R., Ranjan, R., & Calheiros, R. N. (2009, June). Modeling and simulation of scalable Cloud computing environments and the CloudSim toolkit: Challenges and opportunities. In High Performance Computing & Simulation, 2009. HPCS'09. International Conference on (pp. 1-11). IEEE.
  3. Gartner, Inc (2016). Magic Quadrant for Cloud.
  4. Lynn, T., Gourinovitch, A., Byrne, J., Byrne, P. J., Svorobej, S., Giannoutakis, K., Kenny, D. and Morrison, J. (2017, January). A Preliminary Systematic Review of Computer Science Literature on Cloud Computing Research Using Open Source Simulation Platforms [Data and Full References]. http://cloudlightning.eu/dissemination/publications/si mulation-platforms/
  5. Markets and Markets. (2015). Cloud Services Brokerage Market by Types - Global Forecast to 2020. June 2016. Retrieved from http://www.researchandmarkets. com/research/xwbvvz/cloud_services.
  6. Paulsson, V., Emeakaroha, V., Morrison, J., & Lynn, T. (2016). Cloud Service Brokerage: A systematic literature review using a software development lifecycle. In AMCIS 2016.
  7. Rimal, B. P., Choi, E., & Lumb, I. (2009). A taxonomy and survey of cloud computing systems. INC, IMS and IDC, 44-51.
  8. Rowe, F. (2014). What literature review is not: diversity, boundaries and recommendations. European Journal of Information Systems, 23(3), 241-255.
  9. Singh, S., & Chana, I. (2016). Cloud resource provisioning: survey, status and future research directions. Knowledge and Information Systems, 49(3), 1005-1069.
  10. Tian, W., Zhao, Y., Xu, M., Zhong, Y., & Sun, X. (2015). A toolkit for modeling and simulation of real-time virtual machine allocation in a cloud data center. IEEE Transactions on Automation Science and Engineering, 12(1), 153-161.
  11. Zhan, Z. H., Liu, X. F., Gong, Y. J., Zhang, J., Chung, H. S. H., & Li, Y. (2015). Cloud computing resource scheduling and a survey of its evolutionary approaches. ACM Computing Surveys (CSUR), 47(4), 6.
Download


Paper Citation


in Harvard Style

Lynn T., Gourinovitch A., Byrne J., Byrne P., Svorobej S., Giannoutakis K., Kenny D. and Morrison J. (2017). A Preliminary Systematic Review of Computer Science Literature on Cloud Computing Research using Open Source Simulation Platforms . In Proceedings of the 7th International Conference on Cloud Computing and Services Science - Volume 1: CLOSER, ISBN 978-989-758-243-1, pages 565-573. DOI: 10.5220/0006351805650573


in Bibtex Style

@conference{closer17,
author={Theo Lynn and Anna Gourinovitch and James Byrne and P. J. Byrne and Sergej Svorobej and Konstaninos Giannoutakis and David Kenny and John Morrison},
title={A Preliminary Systematic Review of Computer Science Literature on Cloud Computing Research using Open Source Simulation Platforms},
booktitle={Proceedings of the 7th International Conference on Cloud Computing and Services Science - Volume 1: CLOSER,},
year={2017},
pages={565-573},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006351805650573},
isbn={978-989-758-243-1},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 7th International Conference on Cloud Computing and Services Science - Volume 1: CLOSER,
TI - A Preliminary Systematic Review of Computer Science Literature on Cloud Computing Research using Open Source Simulation Platforms
SN - 978-989-758-243-1
AU - Lynn T.
AU - Gourinovitch A.
AU - Byrne J.
AU - Byrne P.
AU - Svorobej S.
AU - Giannoutakis K.
AU - Kenny D.
AU - Morrison J.
PY - 2017
SP - 565
EP - 573
DO - 10.5220/0006351805650573