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Master.TJ Tjcug Services Computing Technology and System Lab Huazhong University of Science and Technology https://tjcug.github.io/ Kubernetes,Docker,Storm,Flink,Kafka,Spark,Hadoop,Hbase,Hive,Redis,Dubbo,ElasticSearch,JavaWeb,Android,SpringMVC,Hibernate,Struts

Tjcug/auth 24

这是从慕课网中学习的Java权限管理系统

Tjcug/BigDataAnalysisWeb 18

Big data performance test analysis platform (including WebUI display)。 BigDataAnalysisWeb Analyze storm, spark, and flink throughput changes in the form of charts.

DStream-Storm/DStream 2

DStream is a popularity-aware differentiated distributed stream processing system, which identifies the popularity of keys in the stream data and uses a differentiated partitioning scheme. DStream greatly outperforms Storm on skew distributed data in terms of throughput and processing latency.

Tjcug/Ares 2

Ares, a high performance and fault tolerant DSPS. Ares considers both system performance and fault tolerant capability during task allocation. In the design of Ares, we formalize the problem of Fault Tolerant Scheduler (FTS) for finding an optimal task allocation which maximizes the system utility. We treat the FTS problem as a game and propose Nirvana, an algorithm based on best-response dynamics scheduling strategy.

Tjcug/busstation 2

公交线路GIS系统,包括公交换乘算法(最短路径算法)

Tjcug/activemqAction 1

ActiveMQ是由Apache出品的,一款最流行的,能力强劲的开源消息总线。它是一个消息中间件,本项目是一个ActiveMQ的学习项目。包括ActiveMQ的API的使用以及生产者消费者模型 ActiveMQ的负载均衡 Publish-Subscribe消息订阅发布模型 点对点通信模型

Tjcug/Algorithm 1

算法分析:提升算法能力(动态规划、递归等)

Tjcug/apache-storm-1.1.1 1

Storm-1.1.1 源码调试版本 Init

Tjcug/benchmarks 1

Contains performance benchmark applications for IBM Streams

Tjcug/disni 1

DiSNI: Direct Storage and Networking Interface

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Ares is a high performance and fault tolerant distributed stream processing system, which considers both both system performance and fault tolerant capability during task allocation and use a game-theoretic approach to obtain an optimal scheduler for task allocation. Ares greatly outperforms Storm in terms of system throughput and the average processing latency.

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