计算机工程
計算機工程
계산궤공정
COMPUTER ENGINEERING
2014年
2期
308-313
,共6页
遥感%分布式计算%硬件监控%Log4net 技术%通信%心跳检测
遙感%分佈式計算%硬件鑑控%Log4net 技術%通信%心跳檢測
요감%분포식계산%경건감공%Log4net 기술%통신%심도검측
remote sensing%distributed computing%hardware monitoring%Log4net technology%communication%heartbeat inspection
在遥感领域多行业遥感信息产品生产系统中,通过分布式计算对遥感数据进行加工处理,需要对各遥感数据的生产处理节点加以监控和管理。针对该问题,提出以监控客户端、监控服务器、监控代理3个独立运行部件为基础的网络硬件监控系统,采用视窗管理规范技术与 Log4net 技术相结合的方法,以及改善通信方式和增加心跳检测的方法,对系统中各数据加工服务器进行监控。通过对该网络硬件监控系统的实现,证明该方案能够实时有效地获得各生产节点的监控信息,运用图形界面直观地向管理者展示监控结果,并确保各部件之间能够主动发现异常。
在遙感領域多行業遙感信息產品生產繫統中,通過分佈式計算對遙感數據進行加工處理,需要對各遙感數據的生產處理節點加以鑑控和管理。針對該問題,提齣以鑑控客戶耑、鑑控服務器、鑑控代理3箇獨立運行部件為基礎的網絡硬件鑑控繫統,採用視窗管理規範技術與 Log4net 技術相結閤的方法,以及改善通信方式和增加心跳檢測的方法,對繫統中各數據加工服務器進行鑑控。通過對該網絡硬件鑑控繫統的實現,證明該方案能夠實時有效地穫得各生產節點的鑑控信息,運用圖形界麵直觀地嚮管理者展示鑑控結果,併確保各部件之間能夠主動髮現異常。
재요감영역다행업요감신식산품생산계통중,통과분포식계산대요감수거진행가공처리,수요대각요감수거적생산처리절점가이감공화관리。침대해문제,제출이감공객호단、감공복무기、감공대리3개독립운행부건위기출적망락경건감공계통,채용시창관리규범기술여 Log4net 기술상결합적방법,이급개선통신방식화증가심도검측적방법,대계통중각수거가공복무기진행감공。통과대해망락경건감공계통적실현,증명해방안능구실시유효지획득각생산절점적감공신식,운용도형계면직관지향관리자전시감공결과,병학보각부건지간능구주동발현이상。
In the multi-industry information products processing system of the remote sensing field, the principle of distributed computing is used to process the remote sensing data, and it is necessary to monitor and manage the processing nodes. To address this problem, a network hardware monitoring system is proposed, which is consisted of three independent parts called monitoring client, monitoring server and monitoring agents. In order to monitor each data processing server in the system, the method combines the Windows Management Instrumentation(WMI) technology and Log4net technology is adopted, and the means of communication is improved and heartbeat detection is also added. Through the implementation of the network hardware monitoring system, the results prove that the program can obtain the monitoring information of each processing node in real-time effectively, an intuitive graphical interface is used to show the monitoring results to managers, and the improving communication means ensuring each component can initiatively discover abnormity.