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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+pingER+big+data+with+a+modified+pingtable+for+event-correlation+and+clustering.docx. Ibrahim reported that in Ibrahim reports "I have spent the last few months he has tried to come up with the scenario to pre-process RDF format using N-Triple and store in Key-value store database in Hadoop platform. He installed hadoop but in a Single not using CMC which is cloud services provided by UM Single Node.trying to understand the concept of big data storage and its retrieval as well as the traditional approach of storing RDF data. I have integrated a single hadoop cluster in our cloud. but for this project we need multiple clusters, which i have already discussed with Dr. Badrul and he will provide me with big storage for the experiment.
I have come up with initial proposed solution model . This model consists of several parts. The upper parts of the Figure below shows the data source, in which PingER data will be convert into RDF format. Then the data pre-processor will take care of converting RDF/XML into N-triples serialization formats using N-triples convertor module. This N-triple file of an RDF graph will be as an input and stores the triples in storage as a key value pair using MapReduce jobs"
UNIMAS
Johari will try to attend this skype meeting but at the same time bring Dr. Adnan Shahid Khan who recently joined UNIMAS, to the meeting as well. Adnan is coming up to speed. He has been added to http://pinger.unimas.my/pinger/contact.php and Adib has been requested to add him to pinger-my
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