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https://issues.apache.org/jira/browse/SPARK-6646?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Reynold Xin updated SPARK-6646:
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Description:
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.
was:
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 post
outlines the technical design of Spark’s mobile support, and shares results
from several early prototypes. See also SPARK-6646 for community discussion on
the issue.
> 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.
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