智能计算机与应用
智能計算機與應用
지능계산궤여응용
Intelligent Computer and Applications
2015年
5期
74-76
,共3页
数据中心%多维资源%资源调度
數據中心%多維資源%資源調度
수거중심%다유자원%자원조도
Data Center%Multi-dimensional Resources%Resource Scheduling
资源调度问题是数据提高运行效率的关键。然而目前大部分任务调度算法都聚焦于单一维度的资源，忽略了多维资源( CPU、Memory、Disk、Storage)同时消耗的实际情况。本文将此多维资源调度问题归纳为多维背包问题，并且提出了相应的MS调度算法。为了展示MS的优势，在WMware平台做了仿真实验，实验结果表明：MS算法能取得较高的服务器综合资源利用率。
資源調度問題是數據提高運行效率的關鍵。然而目前大部分任務調度算法都聚焦于單一維度的資源，忽略瞭多維資源( CPU、Memory、Disk、Storage)同時消耗的實際情況。本文將此多維資源調度問題歸納為多維揹包問題，併且提齣瞭相應的MS調度算法。為瞭展示MS的優勢，在WMware平檯做瞭倣真實驗，實驗結果錶明：MS算法能取得較高的服務器綜閤資源利用率。
자원조도문제시수거제고운행효솔적관건。연이목전대부분임무조도산법도취초우단일유도적자원，홀략료다유자원( CPU、Memory、Disk、Storage)동시소모적실제정황。본문장차다유자원조도문제귀납위다유배포문제，병차제출료상응적MS조도산법。위료전시MS적우세，재WMware평태주료방진실험，실험결과표명：MS산법능취득교고적복무기종합자원이용솔。
Resource scheduling is crucial to data centers. However, most existing scheduling algorithms focus only on one-dimensional resource, ignoring the fact that multiple resources ( CPU, Memory, Storage and bandwidth) are consumed simultaneously. This paper maps such a resource scheduling problem to a multi-dimensional knapsack problem and pres-ents MS- a relevant scheduling algorithm. To demonstrate the advantage of MS, the paper has implemented MS on VM-ware platform and the experimental results show that MS algorithm can achieve higher integrative resources utilization per-centage of servers.
