A SYSTEM FOR AUTOMATED LOAD ADAPTATION IN CLOUD COMPUTING ENVIRONMENTS

Anna Schwanengel, Michael C. Jaeger, Uwe Hohenstein

Abstract

Nowadays, cloud computing promises to supply a theoretically infinite resource amount, while enabling instance elasticity. However, using extra capacity requires organizational activities and leads to costs. To keep this overhead minimal, adding and releasing resources need to be well-scheduled. Therefore, it is inevitable to prepare an appropriate allocation automatism that considers differences in dynamics and price models of cloud computing. We present the idea for a system that effectively manages varying loads with regard to emerging costs, provisioning time, and customer service level agreements (SLAs). Contrary to existing, threshold-based solutions, our approach considers system observations oft he past, domain-specific load behaviours as well as external knowledge. That way, the system detects load patterns and adapts accordingly.

References

  1. Alam, K., Keresteci, E., Nene, B., and Swanson, T. (2011). Dokumentation. http://cloudninja.codeplex.com/ releases/view/65798.
  2. Armbrust, M., Fox, A., Griffith, R., Joseph, A. D., Katz, R., Konwinski, A., Lee, G., Patterson, D., Rabkin, A., and Zaharia, M. (2009). Above the clouds: A berkeley view of cloud computing. Berkeley Uni California.
  3. Armbrust, M., Stoica, I., and et al. (2010). A view of cloud computing. Communication ACM, 53.
  4. Assunc¸a˜o, M., Di Costanzo, A., and Buyya, R. (2009). Evaluating the cost-benefit of using cloud computing to extend the capacity of clusters. 18th HPDC.
  5. Chen, J., Li, W., Lau, A., Cao, J., and Wang, K. (2010). Automated load curve data cleansing in power systems. IEEE Computer, 1.
  6. Das, S. and Panigrahi, B. (2008). Multi-objective evolutionary algorithms, encyclopedia of artificial intelligence. Idea Group Publishing.
  7. Ferrer, A. J., Hernndez, F., Tordsson, J., and et al. (2012). Optimis: A holistic approach to cloud service provisioning. FGCS.
  8. Gmach, D., Krompass, S., Seltzsam, S., Wimmer, M., and Kemper, A. (2006). Dynamic load balancing of virtualized database services using hints and load forecasting. ICDÒ06.
  9. Iyengar, A. K., Squillante, M. S., and Zhang, L. (1999). Analysis and characterization of large-scale web server access patterns. World Wide Web.
  10. Katsaros, G., Gallizo, G., Kübert, R., Wang, T., Fitó, J. O., and Henriksson, D. (2011). A multi-level architecture for collecting and managing monitoring information in cloud environments. 1st CLOSER.
  11. Leskovec, J. (2011). through networks. eswc2011 heraklion/.
  12. Lucas, J. L., Carrin, C., and Caminero, B. (2011). Flexible advance-reservation (FAR) for clouds. 1st CLOSER.
  13. Machiraju, V., Bartolini, C., and Casati, F. (2004). Technologies for business-driven IT management. Extending Web Services Technologies.
  14. Meddeb, A. (2010). Internet QoS: Pieces of the puzzle. Communications Magazine, 48(1).
  15. Moran, D., Vaquero, L., and Galan, F. (2011). Elastically ruling the cloud: Specifying application's behavior in federated clouds. 4th CLOUD.
  16. Paton, N., De Araga˜o, M., Lee, K., Fern, A., and Sakellariou, R. (2009). Optimizing utility in cloud computing through autonomic workload execution. IEEE.
  17. Seltzsam, S., Gmach, D., Krompass, S., and Kemper, A. (2006). AutoGlobe: An auto. admin. concept for service-oriented DB applications. 17th CAiSE.
  18. Vaquero, L., Rodero-Merino, L., Caceres, J., and Lindner, M. (2008). A break in the clouds: Towards a cloud definition. SIGCOMM.
Download


Paper Citation


in Harvard Style

Schwanengel A., Jaeger M. and Hohenstein U. (2012). A SYSTEM FOR AUTOMATED LOAD ADAPTATION IN CLOUD COMPUTING ENVIRONMENTS . In Proceedings of the 2nd International Conference on Cloud Computing and Services Science - Volume 1: CLOSER, ISBN 978-989-8565-05-1, pages 562-567. DOI: 10.5220/0003904605620567


in Bibtex Style

@conference{closer12,
author={Anna Schwanengel and Michael C. Jaeger and Uwe Hohenstein},
title={A SYSTEM FOR AUTOMATED LOAD ADAPTATION IN CLOUD COMPUTING ENVIRONMENTS},
booktitle={Proceedings of the 2nd International Conference on Cloud Computing and Services Science - Volume 1: CLOSER,},
year={2012},
pages={562-567},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003904605620567},
isbn={978-989-8565-05-1},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 2nd International Conference on Cloud Computing and Services Science - Volume 1: CLOSER,
TI - A SYSTEM FOR AUTOMATED LOAD ADAPTATION IN CLOUD COMPUTING ENVIRONMENTS
SN - 978-989-8565-05-1
AU - Schwanengel A.
AU - Jaeger M.
AU - Hohenstein U.
PY - 2012
SP - 562
EP - 567
DO - 10.5220/0003904605620567