Large latency of applications will bring revenue loss to cloud infrastructure providers in the cloud data center. The existing controllers of software-defined networking architecture can fetch and process traffic info...Large latency of applications will bring revenue loss to cloud infrastructure providers in the cloud data center. The existing controllers of software-defined networking architecture can fetch and process traffic information in the network. Therefore, the controllers can only optimize the network latency of applications. However, the serving latency of applications is also an important factor in delivered user-experience for arrival requests. Unintelligent request routing will cause large serving latency if arrival requests are allocated to overloaded virtual machines. To deal with the request routing problem, this paper proposes the workload-aware software-defined networking controller architecture. Then, request routing algorithms are proposed to minimize the total round trip time for every type of request by considering the congestion in the network and the workload in virtual machines（VMs）. This paper finally provides the evaluation of the proposed algorithms in a simulated prototype. The simulation results show that the proposed methodology is efficient compared with the existing approaches.展开更多
目的:研究长链非编码RNA(lncRNA)生长阻滞特异性转录物5(GAS5)基因多态性与多囊卵巢综合征(PCOS)发病的关联性。方法:选取2018年5月~2019年5月在广西右江民族医学院附属医院生殖医学中心确诊的236例PCOS患者作为病例组,同时选取同期性...目的:研究长链非编码RNA(lncRNA)生长阻滞特异性转录物5(GAS5)基因多态性与多囊卵巢综合征(PCOS)发病的关联性。方法:选取2018年5月~2019年5月在广西右江民族医学院附属医院生殖医学中心确诊的236例PCOS患者作为病例组,同时选取同期性别、年龄相匹配的277例健康女性作为对照组,采用iMLDR单核苷酸多态性(SNP)分型方法检测GAS5基因rs145204276 I/D、rs55829688 C/T和rs6790 G/A位点基因型。采用logistic回归分析GAS5基因多态性与PCOS的相关性。结果:GAS5基因rs145204276 I/D位点多态性在对照组和PCOS组之间差异有统计学意义,logistic回归分析结果显示,与I/I基因型相比,I/D和D/D基因型以及显性模型I/D+D/D具有较低的PCOS发病风险[I/D vs I/I:OR(95%CI)=0.61(0.42,0.88),P=0.009;D/D vs I/I:OR(95%CI)=0.44(0.23,0.84),P=0.013;I/D+D/D vs I/I:OR(95%CI)=0.57(0.40,0.81),P=0.002];与I等位基因相比,D等位基因显著降低PCOS的发病风险[D vs I:OR(95%CI)=0.62(0.47,0.82),P=0.001]。rs55829688 C/T和rs6790 G/A位点多态性在对照组和PCOS组之间比较差异均无统计学意义(P>0.05)。单倍型联合分析显示D-T-A单倍型在对照组和PCOS组间的分布差异有统计学意义[OR(95%CI)=0.61(0.45,0.84),P=0.002]。结论:GAS5基因rs145204276 I/D位点多态性可能与PCOS遗传易感性相关,即携带D等位基因的个体可能具有较低的PCOS发病风险。展开更多
【目的】挖掘西瓜耐盐相关的关键候选基因,为探究西瓜应答盐胁迫的机制、培育耐盐西瓜新品种奠定重要基础。【方法】通过对121份西瓜核心种质材料的耐盐性相关指标进行测定,利用全基因组关联分析(genome-wide association study,GWAS)...【目的】挖掘西瓜耐盐相关的关键候选基因,为探究西瓜应答盐胁迫的机制、培育耐盐西瓜新品种奠定重要基础。【方法】通过对121份西瓜核心种质材料的耐盐性相关指标进行测定,利用全基因组关联分析(genome-wide association study,GWAS)定位与表型数据相关的单核苷酸多态性(single nucleotide polymorphisms,SNPs)变异位点,并对候选区间内的基因进行功能注释,最终利用耐盐材料和盐敏感材料的转录组数据确定耐盐相关的关键候选基因。【结果】在根表面积指标下鉴定出1个显著SNP位点,在候选区间内获得23个基因;在根K^(+)含量指标下鉴定出25个显著SNP位点,在候选区间内获得25个基因;在根Na^(+)含量指标下鉴定出2个显著SNP位点,在候选区间内获得10个基因;在根可溶性糖含量指标下鉴定出1个显著SNP位点,在候选区间内获得18个基因。所有候选基因在150 mmol·L^(-1)Na Cl处理前后的耐盐和盐敏感材料中,Cla97C08G145130、Cla97C04G073300和Cla97C01G009540三个候选基因的表达量均受盐胁迫的诱导显著上调表达。【结论】推测Cla97C08G145130、Cla97C04G073300和Cla97C01G009540为西瓜耐盐相关的关键候选基因,为解析提高西瓜耐盐性的分子机制及开发分子标记用于辅助选择育种奠定了基础。展开更多
基金supported by the National Postdoctoral Science Foundation of China(2014M550068)
文摘Large latency of applications will bring revenue loss to cloud infrastructure providers in the cloud data center. The existing controllers of software-defined networking architecture can fetch and process traffic information in the network. Therefore, the controllers can only optimize the network latency of applications. However, the serving latency of applications is also an important factor in delivered user-experience for arrival requests. Unintelligent request routing will cause large serving latency if arrival requests are allocated to overloaded virtual machines. To deal with the request routing problem, this paper proposes the workload-aware software-defined networking controller architecture. Then, request routing algorithms are proposed to minimize the total round trip time for every type of request by considering the congestion in the network and the workload in virtual machines（VMs）. This paper finally provides the evaluation of the proposed algorithms in a simulated prototype. The simulation results show that the proposed methodology is efficient compared with the existing approaches.
文摘目的:研究长链非编码RNA(lncRNA)生长阻滞特异性转录物5(GAS5)基因多态性与多囊卵巢综合征(PCOS)发病的关联性。方法:选取2018年5月~2019年5月在广西右江民族医学院附属医院生殖医学中心确诊的236例PCOS患者作为病例组,同时选取同期性别、年龄相匹配的277例健康女性作为对照组,采用iMLDR单核苷酸多态性(SNP)分型方法检测GAS5基因rs145204276 I/D、rs55829688 C/T和rs6790 G/A位点基因型。采用logistic回归分析GAS5基因多态性与PCOS的相关性。结果:GAS5基因rs145204276 I/D位点多态性在对照组和PCOS组之间差异有统计学意义,logistic回归分析结果显示,与I/I基因型相比,I/D和D/D基因型以及显性模型I/D+D/D具有较低的PCOS发病风险[I/D vs I/I:OR(95%CI)=0.61(0.42,0.88),P=0.009;D/D vs I/I:OR(95%CI)=0.44(0.23,0.84),P=0.013;I/D+D/D vs I/I:OR(95%CI)=0.57(0.40,0.81),P=0.002];与I等位基因相比,D等位基因显著降低PCOS的发病风险[D vs I:OR(95%CI)=0.62(0.47,0.82),P=0.001]。rs55829688 C/T和rs6790 G/A位点多态性在对照组和PCOS组之间比较差异均无统计学意义(P>0.05)。单倍型联合分析显示D-T-A单倍型在对照组和PCOS组间的分布差异有统计学意义[OR(95%CI)=0.61(0.45,0.84),P=0.002]。结论:GAS5基因rs145204276 I/D位点多态性可能与PCOS遗传易感性相关,即携带D等位基因的个体可能具有较低的PCOS发病风险。
