JStorm 2.1.1 发布，分布式计算系统
Storm 是一个类似Hadoop MapReduce的系统， 用户按照指定的接口实现一个任务，然后将这个任务递交给JStorm系统，Jstorm将这个任务跑起来，并且按7 * 24小时运行起来，一旦中间一个worker 发生意外故障， 调度器立即分配一个新的worker替换这个失效的worker。因此，从应用的角度，JStorm 应用是一种遵守某种编程规范的分布式应用。从系统角度， JStorm一套类似MapReduce的调度系统。 从数据的角度， 是一套基于流水线的消息处理机制。实时计算现在是大数据领域中最火爆的一个方向，因为人们对数据的要求越来越高，实时性要求也越来越快，传统的Hadoop Map Reduce，逐渐满足不了需求，因此在这个领域需求不断。
新特性：
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1.5~6x performance boost from worst to best scenarios compared to JStorm-2.1.0
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Add application-level auto-batch
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Add independent control channel to separate control msgs from biz msgs to guarantee high priority for control msgs
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Dramatic performance boost in metrics, see "Improvements" section
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Support jdk1.8
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Add Nimbus hook and topology hook
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Metrics system:
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Support disable/enable metrics on the fly
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Add jstorm metrics design docs, see JSTORM-METRICS.md
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JStorm web UI:
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Add zookeeper viewer in web UI, thanks to @dingjun84
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Add log search and deep log search, support both backward search and forward search
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Support log file download
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Support changing log level on the fly
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Change error structure in zk, add errorLevel, errorCode and duration.
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Add supervisor health check
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Add -Dexclude.jars option to enable filtering jars manually
Bug 修复：
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Fix deadlock when starting workers
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Fix the bug that when localstate file is empty, supervisor can't start
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Fix kryo serialization for HeapByteBuffer in metrics
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Fix total memory usage calculation
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Fix the bug that empty worker is assigned when configured worker number is bigger than the actual number for user defined scheduler
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Fix UI log home directory
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Fix XSS security bug in web UI
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Don't start TopologyMetricsRunnable thread in local mode, thanks to @L-Donne
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Fix JSTORM-141, JSTORM-188 that TopologyMetricsRunnable consumes too much CPU
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Remove MaxTenuringThreshold JVM option support jdk1.8, thanks to @249550148
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Fix possible NPE in MkLocalShuffer
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