Earticle

초록

영어

Energy costs for operating and cooling computing resources in Cloud infrastructure have increased significantly up to the point where they would surpass the hardware purchasing costs. Thus, reducing the energy consumption can save a significant amount of management cost. One of major approach is removing hardware over-provisioning. In this paper, we propose a technique that facilitates power saving through reducing resource over provisioning based on virtualization technology. To this end, we use dynamic workload shaping to reschedule and redistribute job requests considering overall power consumption. In this paper, we present our approach to shape workloads dynamically and distribute them on virtual machines and physical machines through virtualization technology. We generated synthetic workload data and evaluated it in simulating and real implementation. Our simulated results demonstrate our approach outperforms to when not using no workload shaping methodology.

목차

Abstract
 1. INTRODUCTION
 2. POWER CONSUMPTION EVALUATION MODEL
 3. APPLYING WORKLOAD SHAPING TOWARD POWER CONSUMPTION SAVING
 4. EXPERIMENTAL RESULTS AND DISCUSSIONS
 5. CONCLUSION
 Acknowledgment
 REFERENCES

키워드

저자

• Woongsup Kim [ Dept. of Computer & Information Communications Engineering Dongguk University, Seoul, Korea ] Corresponding Author

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  The International Journal of Advanced Smart Convergence

• 간기

  계간

• pISSN

  2288-2847

• eISSN

  2288-2855

• 수록기간

  2012~2025

• 십진분류

  KDC 326 DDC 380