计算机工程
計算機工程
계산궤공정
COMPUTER ENGINEERING
2014年
12期
6-11
,共6页
郑鹏飞%尤佳莉%王劲林%曾学文
鄭鵬飛%尤佳莉%王勁林%曾學文
정붕비%우가리%왕경림%증학문
云计算%地理分布云%业务弹性伸缩%时间序列%短期预测%差分自回归移动平均
雲計算%地理分佈雲%業務彈性伸縮%時間序列%短期預測%差分自迴歸移動平均
운계산%지리분포운%업무탄성신축%시간서렬%단기예측%차분자회귀이동평균
cloud computing%geographically distributed cloud%service elasticity scaling%time series%short-term prediction%Autoregressive Integrated Moving Average( ARIMA)
针对地理分布云的业务部署问题，提出一种基于短期预测的业务弹性伸缩算法SPESS。该算法利用动态差分自回归移动平均模型对用户请求到达速度进行预测，综合考虑预测结果、业务的当前负载及处理速度，调整每个站点虚拟机的数量，从而在保障服务质量的同时尽可能地降低运行成本。实验结果表明，该算法能够在保障服务质量和运行成本之间取得较好的平衡，且业务整体负载、传输延时、排队时间均控制在一个合理的范围内。
針對地理分佈雲的業務部署問題，提齣一種基于短期預測的業務彈性伸縮算法SPESS。該算法利用動態差分自迴歸移動平均模型對用戶請求到達速度進行預測，綜閤攷慮預測結果、業務的噹前負載及處理速度，調整每箇站點虛擬機的數量，從而在保障服務質量的同時儘可能地降低運行成本。實驗結果錶明，該算法能夠在保障服務質量和運行成本之間取得較好的平衡，且業務整體負載、傳輸延時、排隊時間均控製在一箇閤理的範圍內。
침대지리분포운적업무부서문제，제출일충기우단기예측적업무탄성신축산법SPESS。해산법이용동태차분자회귀이동평균모형대용호청구도체속도진행예측，종합고필예측결과、업무적당전부재급처리속도，조정매개참점허의궤적수량，종이재보장복무질량적동시진가능지강저운행성본。실험결과표명，해산법능구재보장복무질량화운행성본지간취득교호적평형，차업무정체부재、전수연시、배대시간균공제재일개합리적범위내。
Aiming at the service deployment problem of geographically distributed clouds,a Short-term Prediction based Elastic Service Scaling ( SPESS ) is proposed. The algorithm predicts the arrival rate of user requests by Dynamic Autoregressive Integrated Moving Average( D-ARIMA) model. In comprehensive consideration of the prediction results, current load and processing rate of the service,the number of virtual machines in every site is decided to strike a balance between quality of service and cost. Experimental results show that the algorithm can ensure better balance between quality of service and cost,and the load of service,transmission delay and queueing time are controlled in a reasonable range.
