The trend already began to drift towards focusing on real-time and streaming instead of batch. There are several models are proposed for solving the streaming graph and incremental learning problems, which requires the exchange of stream data over distributed and heterogeneous platforms such as Lambda, Push/Pull, Micro-batch.
In this page, I introduce the Baton Pass model for solving the streaming graph and incremental learning without any middleware layer, on top of BSP framework of Apache Hama project. This is achieved by pipelining streaming applications.
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