In this study, we propose an efficient two-phase heuristic policy, called an acceptance tolerance control policy, for Infrastructure as a Service (IaaS) cloud services that considers both the service provider and customer in terms of profit and satisfaction, respectively. Each time an IaaS cloud service is requested, this policy determines whether the service is accepted or rejected by calculating the potential for realizing the two performance objectives. Moreover, it uses acceptance tolerance to identify the possibility for error with the chosen decision while compensating for both future fluctuations in customer demand and error possibilities based on past decisions. We conducted a numerical experiment to verify the performance of the proposed policy using several actual IaaS cloud service specifications and comparing it with other heuristics.

1. Introduction
 2. Problem Definition and Assumptions
  2.1 Problem Definition
  2.2 Assumptions
 3. Two-phase Acceptance ToleranceControl Policy
  3.1 Rules for Accepting a Service Request
  3.2 Design of Two-Phase ATCP
 4. Numerical Experiment
  4.1 Design of the Experiment
  4.2 Analysis of Experimental Results
 5. Conclusion
 Acknowledgement
 References

• Moon Kyung Kim(Hyundai AutoEver․Department of Industrial Engineering) | 김문경
• Jin Young Choi(Ajou University) | 최진영 Corresponding Author