Analysing the Lifecycle of Future Autonomous Cloud Applications

Geir Horn, Keith Jeffery, Jörg Domaschka, Lutz Schubert

Abstract

Though Cloud Computing has found considerable uptake and usage, the amount of expertise, methodologies and tools for efficient development of in particular distributed Cloud applications is still comparatively little. This is mostly due to the fact that all our methodologies and approaches focus on single users, even single processors, let alone active sharing of information. Within this paper we elaborate which kind of information is missing from the current methodologies and how such information could principally be exploited to improve resource utilisation, quality of service and reduce development time and effort.

References

  1. Becker, S., Koziolek, H. & Reussner, R., 2009. The Palladio component model for model-driven performance prediction. Journal of Systems and Software, 82:3-22.
  2. Brice Morin, Olivier Barais, Jean-Marc Jézéquel, Franck Fleurey, and Arnor Solberg. 2009. 'Models@run.time to Support Dynamic Adaptation'. Computer 42 (10): 44-51. doi:10.1109/MC.2009.327.
  3. Conover, W. J.., 1999. Practical Nonparametric Statistics. 3rd ed. Wiley Series in Probability and Statistics: Applied Probability and Statistics Section. John Wiley & Sons.
  4. Franklin A. Graybill. 1976. Theory and Application of the Linear Model. North Scituate, MA, USA: Duxbury Press.
  5. Geir Horn. 2013. 'A Vision for a Stochastic Reasoner for Autonomic Cloud Deployment'. In Proceedings of the Second Nordic Symposium on Cloud Computing & Internet Technologies, edited by Muhammad Ali Babar, Marlon Dumas, and Arnor Solberg, 46-53. NordiCloud 7813. New York, NY, USA: ACM. doi:10.1145/2513534.2513543. http://doi.acm.org/ 10.1145/2513534.2513543.
  6. Gianpaolo Cugola, and Alessandro Margara. 2012. 'Processing Flows of Information: From Data Stream to Complex Event Processing'. ACM Comput. Surv. 44 (3) (June): 15:1-15:62. doi:10.1145/ 2187671.2187677.
  7. Gordon Blair, Nelly Bencomo, and Robert B. France. 2009. 'Models@run.time'. Computer 42 (10): 22-27. doi:10.1109/MC.2009.326.
  8. Hallsteinsen, S., Geihs, K., Paspallis, N., Eliassen, F., Horn, G., Lorenzo, J., Mamelli, A., and Papadopoulos, G. A., 2012. A Development Framework and Methodology for Self-adapting Applications in Ubiquitous Computing Environments. Journal of Systems and Software 85 (12) (December): 2840- 2859. doi:10.1016/j.jss.2012.07.052.
  9. Helmer, S., Poulovassilis, A. & Xhafa, F., 2011. Reasoning in Event-Based Distributed Systems. Studies in Computational Intelligence 347, SpringerVerlag Berlin Heidelburg.
  10. Jeffrey O. Kephart, and David M. Chess. 2003. 'The Vision of Autonomic Computing'. Computer 36 (1): 41-50. doi:10.1109/MC.2003.1160055.
  11. John G. Saw, Mark C. K. Yang, and Tse Chin Mo. 1984. 'Chebyshev Inequality with Estimated Mean and Variance'. The American Statistician 38 (2) (May): 130. doi:10.2307/2683249.
  12. Rubio Bonilla, D., Schubert, L. and Wesner, S., 2012, The Need to Comprehend Clouds: Why We Still Can't Use Clouds Properly. CloudComp Conference Proceedings.
  13. Schubert, L., & Jeffery, K., 2012. Advances in Clouds - Research in Future Cloud Computing. Cordis (Online). Brussels, BE: European Commission. Retrieved from http://cordis.europa.eu/fp7/ict/ssai/ docs/future-cc-2may-finalreport-experts.pdf.
  14. Skinner, D. & Kramer, W., 2005. Understanding the causes of performance variability in HPC workloads. International Symposium on Workload Characterization.
Download


Paper Citation


in Harvard Style

Horn G., Jeffery K., Domaschka J. and Schubert L. (2014). Analysing the Lifecycle of Future Autonomous Cloud Applications . In Proceedings of the 4th International Conference on Cloud Computing and Services Science - Volume 1: CLOSER, ISBN 978-989-758-019-2, pages 569-577. DOI: 10.5220/0004864705690577


in Bibtex Style

@conference{closer14,
author={Geir Horn and Keith Jeffery and Jörg Domaschka and Lutz Schubert},
title={Analysing the Lifecycle of Future Autonomous Cloud Applications},
booktitle={Proceedings of the 4th International Conference on Cloud Computing and Services Science - Volume 1: CLOSER,},
year={2014},
pages={569-577},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004864705690577},
isbn={978-989-758-019-2},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 4th International Conference on Cloud Computing and Services Science - Volume 1: CLOSER,
TI - Analysing the Lifecycle of Future Autonomous Cloud Applications
SN - 978-989-758-019-2
AU - Horn G.
AU - Jeffery K.
AU - Domaschka J.
AU - Schubert L.
PY - 2014
SP - 569
EP - 577
DO - 10.5220/0004864705690577