Cloud Event Processing - Analyze, Sense, Respond

Colin Clark

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Top Stories by Colin Clark

Over the past few weeks, I’ve implemented map/reduce using techniques commonly found in Complex Event Processing.  Here’s a summary of what was involved, and what tools would make such a deployment easier. Getting the Data One of the first tasks accomplished was the creation of an OnRamp – we use OnRamps to get data into our cloud for processing.  The specific OnRamp used in this learning exercise subscribed to Twitter and fed the resulting JSON objects onto the service bus, RabbitMQ in this case.  We had to correctly configure RabbitMQ for this, and the OnRamp needed to be specifically aware of and implement semantics required to publish on this bus.  It would be easier and more portable if this were abstracted in some type of OnRamp api; we had abstracted this at Kaskad.  In Korrelera, the bus didn’t matter – we could just as easily use direct sockets, JMS, Tibco o... (more)

Data Mining in Streaming Data

Lately, I’ve been working on some interesting projects involving not just the usual suspects of stream processing, but data mining within high velocity time series.  In conjunction with that effort, I’ve been doing a lot of research in the areas of symbolic representation, dimension reduction, clustering, indexing, classification, and anomaly detection.  A prolific  researcher in this area is Dr. Eamonn Keogh – I’ll be applying some of his team’s ideas so some interesting customer problems and telling you all about it here.  Let’s get started! TOO MUCH DATA In dealing with real... (more)

My Top Five Cloud Predictions for 2011: Colin Clark

Every year, I like to decompress a bit and take a break. Usually, I like to go scuba diving – the dive sites I like are usually far removed from email, Twitter, Facebook, etc. and it gives me a chance to actually unplug, defrag, and think a bit. This year, the family went to Grand Cayman to experience some of the world’s best diving. Within Grand Cayman is Hell, a small township dedicated to tourism and aptly named given the attached photo. We visited Hell in between dives, and rather than make my ex-wife room reservations or send out postcards, I thought I’d amplify a few predic... (more)

Erlang, RabbitMQ, & Redis

VMWare has been on a buying spree lately. In the last month, they’ve announced both Redis and RabbitMQ. Here’s VMware’s take on Redis, and spring source’s on RabbitMQ.  RabbitMQ is built with Erlang. Much Rejoicing in the Village We use both of these technologies at Cloud Event Processing.  And we love Erlang too.  VMware’s acquisition of these technologies not only validates our decisions, which we are very selfishly pleased about, but also sends an interesting message. The Message Please Everyone’s busy abstracting resources in the cloud – making resources like compute, stora... (more)

Just When I Thought I Was Done… Bring on the Visualization!

“They pulled me back in.” – The God Father. I’ve received some interest/emails about TwitURL – our Map/Reduce as it applies to CEP (cloud event processing) project.  Seems that people would like to see the results of these processes visually.  Who can blame them, right?  So, I was thinking, how can I add a little sizzle to TwitURL? Panopticon Panopticon offers some pretty slick visualization capabilities – you can check them out here.  And based upon some feedback/requests, I’m going to hook up a heat map to the output of TwitURL.  The heat map will show which URL’s are the hott... (more)