Evaluating Performance of Distributed Systems With MapReduce and Network Traffic Analysis

Testing, monitoring and evaluation of distributed systems at runtime is a difficult effort, due the dynamicity of the environment, the large amount of data exchanged between the nodes and the difficulty of reproduce an error for debugging. Application traffic analysis is a method to evaluate distributed systems, but the ability to analyze large amount of data is a challenge. This paper proposes and evaluates the use of MapReduce programming model to deep packet inspection the application traffic of distributed systems, evaluating the effectiveness and the processing capacity of the MapReduce programming model for deep packet inspection of a JXTA distributed storage application, in order to measure performance indicators. Keywords-Measurement of Distributed Systems; MapReduce; Network Traffic Analysis; Deep Packet Inspection.