Below is just my personal viewpoint. We can refactor bsp to be more
modularized so that people can choose if that fits their requirement.
Basically bsp is a generalized model, it may be good if we can create
a flexible framework.
On 5 March 2014 12:25, Edward J. Yoon wrote:
> Why not?
>
> Sent
Why not?
Sent from my iPhone
> On 2014. 3. 5., at 오후 1:09, Yexi Jiang wrote:
>
> Yes, currently Hama does not support streaming input and streaming output.
> That's why currently it is not a natural choice for people with real time
> computing needs.
>
> Do we really need to make Hama to suppo
Yes, currently Hama does not support streaming input and streaming output.
That's why currently it is not a natural choice for people with real time
computing needs.
Do we really need to make Hama to support the real time computing? In that
case, we need to compete with Storm...
2014-03-04 22:5
I used Twitter Storm previously. Storm is an excellent framework in
real time processing.
Considering Hama in real time tasks, the framework in my opinion need
to decouple io from hdfs so that the source/ input is not restricted
to just hdfs.
On 5 March 2014 09:30, Yexi Jiang wrote:
> Please cor
I'm thinking about coupling with ML (incremental) algorithms.
On Wed, Mar 5, 2014 at 11:16 AM, Yexi Jiang wrote:
> I have ever implemented a system monitor/log collector using ActiveMQ and a
> real time anomaly detection algorithm on top of Twitter's Storm. I think
> people like me may naturally
I have ever implemented a system monitor/log collector using ActiveMQ and a
real time anomaly detection algorithm on top of Twitter's Storm. I think
people like me may naturally choose such streaming computing framework to
handle this scenario.
For real time computation, what is the unique charact
The final goal can be a real-time event processing framework for
distributed event detection, filtering, and aggregation. I guess that
can be done with only 3 components:
* Event processing job configuration interface.
* User-defined function that handles the stream input.
* Master Aggregator(s
Please correct me if I'm wrong. My understanding of aggregating the log is
the collect the generated from each monitored machine in real time. The
collecting procedure is continuous like a data stream and never end.
I know how to use Hama to aggregate the logs batch by batch (e.g. aggregate
the lo
Aggregators of Graph package are doing similar wok. Monitoring and
Global communication, ..., etc.
On Tue, Mar 4, 2014 at 10:20 PM, Yexi Jiang wrote:
> I am very interested in this topic since my research area includes event
> mining, but can BSP conducts the real time computing?
>
> I once use
BSP is a bridge model that doesn't restrict itself to some particular
usage. My understanding (I could be wrong) is that our framework needs
to address such issue. [1], for example, proposes a solution based on
bsp in the field of real-time application.
[1]. Hartley J.K., Bargiela A., TPML: Parall
I am very interested in this topic since my research area includes event
mining, but can BSP conducts the real time computing?
I once used the message queue based solution to collect the event logs.
2014-03-04 1:54 GMT-05:00 Edward J. Yoon (JIRA) :
>
> [
> https://issues.apache.org/jira/br
[
https://issues.apache.org/jira/browse/HAMA-883?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Edward J. Yoon updated HAMA-883:
Summary: [Research Task] Massive log event aggregation in real time using
Apache Hama (was: [Researc
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