Taming Replication Latency of Big Data Events with Capacity Planning PROJECT TITLE :Taming Replication Latency of Big Data Events with Capacity PlanningABSTRACT:Making certain low replication latency of database events is business-critical however difficult with huge data. A proposed capacity-designing model helps achieve this goal by forecasting future traffic rates, predicting replication latency, and determining needed replication capacity. The Web extra at http://youtu.be/ZupPlrS8dGA is a video of in that author Zhenyun Zhuang demonstrates Naarad, an open-supply performance analysis tool (https://github.com/linkedin/naarad) written in Python that analyzes various metrics (gc, sar, Jmeter etc), evaluates SLAs and generates a user friendly report to help in performance analysis and investigations. Did you like this research project? To get this research project Guidelines, Training and Code... Click Here facebook twitter google+ linkedin stumble pinterest Outage Minimization via Power Adaptation and Allocation in Truncated Hybrid ARQ A signaling emergency alert system multiplexed with T-DMB channel for emergency alert service
