本文關(guān)鍵詞： 醫(yī)療大數(shù)據(jù) 云計(jì)算 云/霧混合網(wǎng)絡(luò) 負(fù)載均衡　出處：《西安交通大學(xué)學(xué)報(bào)》2016年10期 　論文類型：期刊論文

【摘要】：針對(duì)云計(jì)算應(yīng)用于醫(yī)療大數(shù)據(jù)場(chǎng)景時(shí)存在業(yè)務(wù)處理時(shí)延較高的問題,提出了一種基于邊緣計(jì)算的新型云/霧混合網(wǎng)絡(luò)架構(gòu),該架構(gòu)利用醫(yī)院中的路由器或交換機(jī)等邊緣設(shè)備,在云服務(wù)器與醫(yī)療檢測(cè)設(shè)備之間構(gòu)建一個(gè)霧計(jì)算層,通過將云服務(wù)器中的醫(yī)學(xué)影像等醫(yī)療大數(shù)據(jù)分析結(jié)果主動(dòng)緩存至霧計(jì)算設(shè)備,并與霧設(shè)備上來自醫(yī)療檢測(cè)終端的數(shù)據(jù)進(jìn)行對(duì)比計(jì)算,得出診斷結(jié)果,達(dá)到降低業(yè)務(wù)處理時(shí)延的目的�？紤]到邊緣設(shè)備的計(jì)算能力較弱,進(jìn)一步提出了一種多設(shè)備分布式計(jì)算方案,利用帶約束的粒子群優(yōu)化負(fù)載均衡(CPSO-LB)算法,達(dá)到任務(wù)處理時(shí)延最小的目標(biāo)。仿真結(jié)果表明:基于CPSO-LB算法的云/霧混合網(wǎng)絡(luò)能有效地降低醫(yī)療數(shù)據(jù)處理時(shí)延;當(dāng)采用10個(gè)霧計(jì)算設(shè)備,處理的醫(yī)療數(shù)據(jù)量在6~10Gb時(shí),與云計(jì)算網(wǎng)絡(luò)相比時(shí)延性能提升了50.95%~37.37%。
[Abstract]:A new cloud / fog hybrid network architecture based on edge computing is proposed to solve the problem of high service delay when cloud computing is applied to the medical big data scenario. The architecture uses edge devices such as routers or switches in a hospital to build a fog computing layer between a cloud server and a medical detection device. The results of medical big data analysis such as medical images in the cloud server are actively cached to the fog computing equipment, and compared with the data from the medical detection terminal on the fog equipment, the diagnosis results are obtained. In order to reduce the delay of service processing, a multi-device distributed computing scheme is proposed considering the weak computing power of edge devices. The constrained particle swarm optimization (PSO) load balancing algorithm (CPSO-LB) is used. The simulation results show that the cloud / fog hybrid network based on CPSO-LB algorithm can effectively reduce the delay of medical data processing. When 10 fog computing devices are used and the amount of medical data processed is 610Gb, the delay performance of cloud computing network is improved by 50.95g / 37.37g / h compared with cloud computing network.
【作者單位】： 西安電子科技大學(xué)ISN國(guó)家重點(diǎn)實(shí)驗(yàn)室;國(guó)網(wǎng)吉林省電力有限公司信息通信公司;
【基金】：國(guó)家自然科學(xué)基金資助項(xiàng)目(61401331) 港澳臺(tái)科技合作專項(xiàng)資金資助項(xiàng)目(2015DFT10160) 中央高�；究蒲袠I(yè)務(wù)費(fèi)專項(xiàng)資金資助項(xiàng)目(20101155739)
【分類號(hào)】：TP311.13;TP338.8
【正文快照】： 在醫(yī)患比例嚴(yán)重失調(diào)的當(dāng)今社會(huì),挖掘分析醫(yī)療大數(shù)據(jù),利用獲得的有價(jià)值的信息輔助醫(yī)生診斷治療疾病,提高醫(yī)生診斷效率,成為了迫切需要解決的問題。云計(jì)算作為目前醫(yī)療大數(shù)據(jù)分析處理的支撐平臺(tái),為醫(yī)院信息化建設(shè)提供了強(qiáng)大的技術(shù)支持[1]。近年來,專家學(xué)者們基于云計(jì)算提出了醫(yī)，

本文編號(hào)：1478730