[NRG] Notification: A Step towards Dynamically Scaling Hadoop Clusters (Qiaob... @ Mon Nov 20, 2017 11am - 12pm (NRG at BU)

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Wed Nov 15 11:00:04 EST 2017


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Title: A Step towards Dynamically Scaling Hadoop Clusters (Qiaobin Fu)
Abstract: Many application portals successfully manage to scale elastically  
in order to provide a stable response time by integrating on-demand cloud  
resources. This is more challenging for applications that have to manage a  
dynamic configuration. This talk investigates the question: under what  
circumstances (if any) dynamically adding more nodes to the Hadoop  
computation will result in performance improvement? On one hand, if we add  
more nodes to a Hadoop computation, the computation will potentially finish  
faster since more computational power will be brought to bear on the  
problem. On the other hand, ensuring that we can use those nodes  
effectively may require data redistribution, thus creating additional  
overhead which may obviate any performance advantages. I will present the  
trade-off between dynamically adding more nodes to the Hadoop computation  
and its performance improvement, describe and evaluate three methods for  
data redistribution in this use case and discuss their advantages and  
disadvantages. Moreover, we implement a PID-based controller to dynamically  
scale the Hadoop cluster to guarantee application's response time.
When: Mon Nov 20, 2017 11am – 12pm Eastern Time
Where: MCS148
Calendar: NRG at BU
Who:
     * Qiaobin Fu - creator

Event details:  
https://www.google.com/calendar/event?action=VIEW&eid=MGZwNTM2cnRobnBqY2Y1ZXJ1Y29kcDMyNmYgNTYwam42bnQ1aGo0b2YzcnNyaWNoZnB0aW9AZw

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