OPTIMIZING REVENUE - Service Provisioning Systems with QoS Contracts

J. Palmer, I. Mitrani, M. Mazzucco, P. McKee, M. Fisher

2007

Abstract

We consider the problem of how best to structure and control a distributed computer system containing many processors, subject to Quality of Service contracts. Services of different types are offered, with different charges for running jobs and penalties for failing to meet the QoS requirements. The aim is to choose the number of servers allocated to each service type, and the admission criteria for jobs of that type, so as to maximize the total average revenue per unit time. The performance of a fast allocation heuristic is evaluated.

References

  1. Ghosh, S. et al. (2003). Scalable resource allocation for multi-processor qos optimization. In The International Conference on Distributed Computing Systems.
  2. Hansen, J. et al. (2004). Resource management of highly configurable tasks. In IPDPS 7804, The 18th International Parallel and Distributed Processing Symposium, pages 116-123.
  3. Huberman, B. A. et al. (2005). Ensuring trust in one time exchanges: solving the qos problem. Netnomics, 7:27-37.
  4. Mitrani, I. (1998). Probabilistic Modelling. Cambridge University Press.
  5. Rajkumar, R. et al. (1997). A resource allocation model for qos management. In RTSS 7897, The 18th IEEE RealTime Systems Symposium, pages 298-307.
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Paper Citation


in Harvard Style

Palmer J., Mitrani I., Mazzucco M., McKee P. and Fisher M. (2007). OPTIMIZING REVENUE - Service Provisioning Systems with QoS Contracts . In Proceedings of the Second International Conference on e-Business - Volume 1: ICE-B, (ICETE 2007) ISBN 978-989-8111-11-1, pages 187-191. DOI: 10.5220/0002111501870191


in Bibtex Style

@conference{ice-b07,
author={J. Palmer and I. Mitrani and M. Mazzucco and P. McKee and M. Fisher},
title={OPTIMIZING REVENUE - Service Provisioning Systems with QoS Contracts},
booktitle={Proceedings of the Second International Conference on e-Business - Volume 1: ICE-B, (ICETE 2007)},
year={2007},
pages={187-191},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0002111501870191},
isbn={978-989-8111-11-1},
}


in EndNote Style

TY - CONF
JO - Proceedings of the Second International Conference on e-Business - Volume 1: ICE-B, (ICETE 2007)
TI - OPTIMIZING REVENUE - Service Provisioning Systems with QoS Contracts
SN - 978-989-8111-11-1
AU - Palmer J.
AU - Mitrani I.
AU - Mazzucco M.
AU - McKee P.
AU - Fisher M.
PY - 2007
SP - 187
EP - 191
DO - 10.5220/0002111501870191