通过对网络性能管理指标对应的变量对象特性分析,发现有关性能变量对象在MIB库的树状结构中的分布特点,并根据性能数据定时轮询采集和实时随机采集的两种基本数据采集方式,充分利用SNMP操作原语的数据采集工作原理,提出了一种新的适合...通过对网络性能管理指标对应的变量对象特性分析,发现有关性能变量对象在MIB库的树状结构中的分布特点,并根据性能数据定时轮询采集和实时随机采集的两种基本数据采集方式,充分利用SNMP操作原语的数据采集工作原理,提出了一种新的适合性能管理系统的数据采集方法——PMDC(Performance Management Data Collect)方法,通过与传统方法分析对比,PMDC方法不仅提高了性能数据采集效率,并且缩短了响应时间和节约了网络资源。展开更多
SNMP-based data collecting is fundamental for IP network management. This paper presents a SNMP-based Data Collect Algorithm for common use. According to requirement of data collecting, the algorithm disassem-bles col...SNMP-based data collecting is fundamental for IP network management. This paper presents a SNMP-based Data Collect Algorithm for common use. According to requirement of data collecting, the algorithm disassem-bles collect tasks into metadata, and then reconstructs the protocol packet. Also takes full advantage of GetBulk op-eration, and brings out a combination algorithm for discrete variables of a MIB table so that the operation is opti-mized. A collect engine is implemented using the algorithm, which supports dynamic collection of multiple MIB vari-ables, supports arithmetic computing and logical computing, supports threshold judgment and sends out abnormalevents notifications. Tests are given to prove that the algorithm reduces the traffic for network management and im-proves the efficiency.展开更多
在基于AdventNet Web NMS网管开发平台的网管统计功能软件开发实例中,针对平台中提供的数据采集模块不能满足实际需求的问题,研究低带宽条件下实现高效数据采集的方法,提出了基于RMI技术的分布式数据采集模块的实现方案。由于该模块独...在基于AdventNet Web NMS网管开发平台的网管统计功能软件开发实例中,针对平台中提供的数据采集模块不能满足实际需求的问题,研究低带宽条件下实现高效数据采集的方法,提出了基于RMI技术的分布式数据采集模块的实现方案。由于该模块独立于网管平台开发,因此对它与网管平台的集成进行了研究。展开更多
文摘通过对网络性能管理指标对应的变量对象特性分析,发现有关性能变量对象在MIB库的树状结构中的分布特点,并根据性能数据定时轮询采集和实时随机采集的两种基本数据采集方式,充分利用SNMP操作原语的数据采集工作原理,提出了一种新的适合性能管理系统的数据采集方法——PMDC(Performance Management Data Collect)方法,通过与传统方法分析对比,PMDC方法不仅提高了性能数据采集效率,并且缩短了响应时间和节约了网络资源。
文摘SNMP-based data collecting is fundamental for IP network management. This paper presents a SNMP-based Data Collect Algorithm for common use. According to requirement of data collecting, the algorithm disassem-bles collect tasks into metadata, and then reconstructs the protocol packet. Also takes full advantage of GetBulk op-eration, and brings out a combination algorithm for discrete variables of a MIB table so that the operation is opti-mized. A collect engine is implemented using the algorithm, which supports dynamic collection of multiple MIB vari-ables, supports arithmetic computing and logical computing, supports threshold judgment and sends out abnormalevents notifications. Tests are given to prove that the algorithm reduces the traffic for network management and im-proves the efficiency.
