[Syscussion] Syscussion S02E02 - 26/01/18 - CherryPick

[Nikolaos Chalvantzis]

Καλησπέρα σε όλους,


On 24/01/2018 05:41 μμ, Giagkos Mytilinis wrote:
> Νίκο, αν θες, στείλε στη λίστα title/abstract σχετικά με την 
> παρουσίαση που ετοιμάζεις. 

Ευχαριστώ για την πάσα Γιάγκο!

Έχω ετοιμάσει για την Παρασκευή το "*CherryPick: Adaptively Unearthing 
the Best Cloud Configurations for Big Data Analytics*" των Alipourfard,  
Liu, Chen,  Venkataraman,  Yu,  Zhang. Παρουσιάστηκε στο NSDI 2017.

Abstract:
Picking  the  right  cloud  configuration  for recurring  big  data 
analytics  jobs  running  in  clouds  is hard, because there can be tens 
of possible VM instance types and even more cluster sizes to pick from. 
Choosing poorly can significantly degrade performance and increase the 
cost to run a job by 2-3x on average, and as much as 12x in the 
worst-case.  However, it is challenging to automatically identify the 
best configuration for a broad spectrum of applications and cloud 
configurations with low search cost. CherryPick is a system that 
leverages Bayesian Optimization to build performance models for various 
applications, and the models are just accurate enough to distinguish the 
best or close-to-the-best configuration from the rest with only a few 
test runs. Our experiments on five analytic  applications in AWS EC2 
show that CherryPick has a 45-90% chance to find optimal configurations, 
otherwise near-optimal, saving up to 75% search cost compared to 
existing solutions.


N.

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