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Ibrahim Abaker is planning to work on a topic initially entitled " leveraging pingER big data with a modified pingtable for event-correlation and clustering". Ibrahim has a proposal, see https://confluence.slac.stanford.edu/download/attachments/17162/leveraging%20pingER%20big%20data%20with%20a%20modified%20pingtable%20for%20event-correlation%20and%20clusteringleveraging+pingER+big+data+with+a+modified+pingtable+for+event-correlation+and+clustering.docx. He is currently spending time reading about RDF storage and its retrieval, also he is trying to setup Hadoop clusters for the experiment. He is in email discussion with Renan on which part to work on first. He plans to collaborate with Renan to make the pinger store and process more efficient. Les has sent him documentation of PinGER which is very helpful. Ridzuans' work is more to do with hosting the data and stream data analysis. Ibrahim is looking more at applying MapReduce ( programming model for processing large data sets with a parallel, distributed algorithm on a cluster), reducing the storage needs and providing querying of the data.
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