[
https://issues.apache.org/jira/browse/SPARK-6646?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14390161#comment-14390161
]
Tathagata Das commented on SPARK-6646:
--------------------------------------
I have been working on running NetworkWordcount on our IPhone prototype, and I
was pleasantly surprised with the performance I was getting. The network
bandwidth is definitely less, and there is a higher cost of shuffling data, but
its still quite good. Though the task launch latencies are higher, so streaming
applications will require slightly higher batch sizes. But overall you will be
surprised. I will post numbers when I can compile them in graphs.
> Spark 2.0: Rearchitecting Spark for Mobile Platforms
> ----------------------------------------------------
>
> Key: SPARK-6646
> URL: https://issues.apache.org/jira/browse/SPARK-6646
> Project: Spark
> Issue Type: Improvement
> Components: Project Infra
> Reporter: Reynold Xin
> Assignee: Reynold Xin
> Priority: Blocker
> Attachments: Spark on Mobile - Design Doc - v1.pdf
>
>
> Mobile computing is quickly rising to dominance, and by the end of 2017, it
> is estimated that 90% of CPU cycles will be devoted to mobile hardware.
> Spark’s project goal can be accomplished only when Spark runs efficiently for
> the growing population of mobile users.
> Designed and optimized for modern data centers and Big Data applications,
> Spark is unfortunately not a good fit for mobile computing today. In the past
> few months, we have been prototyping the feasibility of a mobile-first Spark
> architecture, and today we would like to share with you our findings. This
> ticket outlines the technical design of Spark’s mobile support, and shares
> results from several early prototypes.
> Mobile friendly version of the design doc:
> https://databricks.com/blog/2015/04/01/spark-2-rearchitecting-spark-for-mobile.html
--
This message was sent by Atlassian JIRA
(v6.3.4#6332)
---------------------------------------------------------------------
To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org
For additional commands, e-mail: issues-h...@spark.apache.org
