科技通报
科技通報
과기통보
BULLETIN OF SCIENCE AND TECHNOLOGY
2015年
4期
130-132
,共3页
熵权决策%云计算%链路%数据
熵權決策%雲計算%鏈路%數據
적권결책%운계산%련로%수거
entropy weight decision-making%cloud computing%link%data
云计算数据预取算法设计是实现云平台环境下通信链路优化和任务调度均衡分配的基础技术。在传统的云计算据查询模式下,当由于缓存空间不足而导致新的缓存数据无法进入缓存时,导致数据预取拥堵,性能不好。提出一种基于Monte Carlo熵权决策的云计算数据预取算法,构建云计算数据查询模板模型,进行Hybrid缓存置换数据预取前置处理,采用Monte Carlo熵权决策方法,把云计算预取信号从缓存域变换到波束域,构建置换函数,实现了对算法的改进。仿真实验研究得出,该算法通过熵权特征提取,进行云计算数据预取决策,提高了云计算数据预取性能,大数据访问延迟率降低,云计算数据存取和调度效率提高,保真率较好。
雲計算數據預取算法設計是實現雲平檯環境下通信鏈路優化和任務調度均衡分配的基礎技術。在傳統的雲計算據查詢模式下,噹由于緩存空間不足而導緻新的緩存數據無法進入緩存時,導緻數據預取擁堵,性能不好。提齣一種基于Monte Carlo熵權決策的雲計算數據預取算法,構建雲計算數據查詢模闆模型,進行Hybrid緩存置換數據預取前置處理,採用Monte Carlo熵權決策方法,把雲計算預取信號從緩存域變換到波束域,構建置換函數,實現瞭對算法的改進。倣真實驗研究得齣,該算法通過熵權特徵提取,進行雲計算數據預取決策,提高瞭雲計算數據預取性能,大數據訪問延遲率降低,雲計算數據存取和調度效率提高,保真率較好。
운계산수거예취산법설계시실현운평태배경하통신련로우화화임무조도균형분배적기출기술。재전통적운계산거사순모식하,당유우완존공간불족이도치신적완존수거무법진입완존시,도치수거예취옹도,성능불호。제출일충기우Monte Carlo적권결책적운계산수거예취산법,구건운계산수거사순모판모형,진행Hybrid완존치환수거예취전치처리,채용Monte Carlo적권결책방법,파운계산예취신호종완존역변환도파속역,구건치환함수,실현료대산법적개진。방진실험연구득출,해산법통과적권특정제취,진행운계산수거예취결책,제고료운계산수거예취성능,대수거방문연지솔강저,운계산수거존취화조도효솔제고,보진솔교호。
Cloud computing data prefetching algorithm design is the basis of technology to realize the cloud platform commu?nication link optimization and task scheduling equilibrium. Traditionally, the user of each query request must be estab?lished a database connection, lead to prefetch data congestion, performance is not good. A cloud computing data prefetch?ing algorithm is proposed based on Monte Carlo entropy weight decision-making method. The cloud computing model of da?ta query is constructed, Hybrid cache replacement prefetch data pre-processing is taken, Monte Carlo entropy weight deci?sion-making method is used, the cloud computing prefetching signal is converted from the cache domain to the beam do?main, the replacement function is constructed, the improvement of the algorithm is realized. Simulation results show that the algorithm improves the cloud data prefetching performance, delay of data access rate is reduced, data access and sched?uling efficiency are improved, and it has better fidelity rate.