The main areas that the IRMOS platform advances the state of the art in SLAs are: (i) requirements can be expressed in the language of the application domain, (ii) the users needs are dynamically translated to infrastructure requirements in fine grained SLAs, (iii) evaluation and mitigations mechanisms are able to quickly detect SLA violations and take necessary actions at run-time. Thus, it is evident, that the proposed framework adds to the already known benefits of cloud computing the possibility to execute interactive and resource-demanding applications with guaranteed QoS, that existing commercial offerings lack.

Download PDF

References

1. T. Voith, M. Kessler, K. Oberle, D. Lamp, A. Cuevas, P. Mandic, A. Reifert. ISONIWhitepaper v2.0. September2008. Available on-line at: http://irmosproject.eu/Files/IRMOS_WP6_7_ISONI_White_Paper_ALUD_USTUTT_v2_0.p df
2. T. Cucinotta, G. Anastasi, F. Checconi, D. Faggioli, K. Kostanteli, A. Cuevas, D. Lamp, S. Berger, M. Stein, T. Voith, L. Fuerst, D. Golbourn, M. Muggeridge. IRMOS Deliverable D6.4.2 - Final Version of Real time Architecture of Execution Environment. http://www.irmosproject.eu/Files/IRMOS_WP6_D6_4_2_SSSA_v1_0%5B1%5D.pdf.
3. F. Checconi, T. Cucinotta, D. Faggioli, G. Lipari. Hierarchical Multiprocessor CPU Reservations for the Linux Kernel. In Proceedings of the 5th International Workshop on Operating Systems Platforms for Embedded Real-Time Applications (OSPERT 2009). Dublin, Ireland. June 2009.
4. T. Cucinotta, F. Checconi, G. Kousiouris, D. Kyriazis, T.Varvarigou, A. Mazzetti, Z. Zlatev, J. Papay, M. Boniface, S. Berger, D. Lamp, T. Voith, M. Stein. Virtualised e-Learning with Real-Time Guarantees on the IRMOS Platform. In Proceedings of the IEEE International Conference on Service-Oriented Computing and Applications (SOCA 2010). Perth, Australia.Dec. 2010.
5. K. Konstanteli, T. Cucinotta, T. Varvarigou. Optimum Allocation of Distributed Service Workflows with Probabilistic Real-Time Guarantees. Springer Service Oriented Computing and Applications, Vol. 4, No. 4. Dec. 2010.
6. B. Lin, P. Dinda, Vsched: Mixing batch and interactive virtual machines using periodic real- time scheduling, Proceedings of the IEEE/ACM Conference on Supercomputing, pp. 8,November 2005.
7. C.L. Liu, J. W. Layland, Scheduling Algorithms for Multiprogramming in a Hard-Real-Time Environment, J. ACM, vol. 20,No. 1, January 1973, pp. 46—61, ACM, New York, NY,USA.
8. F. Checconi, T. Cucinotta, D. Faggioli, G. Lipari, Hierarchical Multiprocessor CPU Reservations for the Linux Kernel, Proceedings of the 5th International Workshop on Operating Systems Platforms for Embedded Real-Time Applications (OSPERT), June 2009, Dublin, Ireland.
9. L. Abeni, G. Buttazzo, Integrating Multimedia Applications in Hard Real-Time Systems, Proceedings of the IEEE Real-Time Systems Symposium, 1998, Madrid, Spain.
10. B. Lin, P. Dinda, Towards Scheduling Virtual Machines Based On Direct User Input, Proceedings of the 2nd International Workshop on Virtualization Technology in Distributed Computing, Washington,DC, November 2006, IEEE Computer Society.
11. R. Nathuji, A. Kansal, A. Ghaffarkhah, Q-Clouds: Managing Performance Interference Effects for QoS-Aware Clouds, Proceedings of the 5th European conference on Computer systems (EuroSys), April 2010, Paris, France.
12. J. W. Lee, K. Asanovic, METERG: Measurement-Based End-to-End Performance Estimation Technique in QoS-Capable Multiprocessors, Proceedings of the 12th IEEE Real-Time and Embedded Technology and Applications Symposium (RTAS), pp. 135-147, 2006.

Back