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Difference between revisions of "Meetings/Storlets"

(Add some items about bugs)
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*** Data obfuscation and anonymization at the source. Thus, preventing sensitive data from ever leaving the store.
 
*** Data obfuscation and anonymization at the source. Thus, preventing sensitive data from ever leaving the store.
 
** In this talk we will present the project, discuss and demonstrate the use cases and present a PoC about an effective architecture for image processing using Storlets done at NTT.
 
** In this talk we will present the project, discuss and demonstrate the use cases and present a PoC about an effective architecture for image processing using Storlets done at NTT.
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'''Swift Hackathon'''
 
'''Swift Hackathon'''
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*** To-be-fixed thing in swift
 
*** To-be-fixed thing in swift
 
**** chunked transferring stuff: https://review.openstack.org/#/c/256201/
 
**** chunked transferring stuff: https://review.openstack.org/#/c/256201/
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 +
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'''Bugs"''
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* Range handling
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** https://bugs.launchpad.net/storlets/+bug/1534414
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** https://bugs.launchpad.net/storlets/+bug/1534455
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* FD leak
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** https://bugs.launchpad.net/storlets/+bug/1537982

Revision as of 09:42, 27 January 2016

Meeting Time: Every Wednesday at 13:00 UTC in #openstack-storlets

The meeting on Wed January 27th may start at 12 UTC. Please see the IRC for final schedule.


Agenda:

  • Austing talk.
  • Swift Hackathon
  • bugs.


Austin:

  • We currently have the following abstract
    • Title: From Analytic to Image Processing in Swift with Openstack Storlets
    • Openstack Stolets is an emerging Openstack project aimed at pushing down data centric compute jobs to the object store. Storlets offer a server-less programming model enabling developers to quickly develop and deploy data path computations without worrying about the underlying platform details.
    • Storlets facilitate several interesting use cases such as:
      • Performing image processing in the storage, allowing to process large objects without downloading it.
      • Spark analytic push down to the store, saving on both bandwidth and memory in the analytic cluster.
      • Data obfuscation and anonymization at the source. Thus, preventing sensitive data from ever leaving the store.
    • In this talk we will present the project, discuss and demonstrate the use cases and present a PoC about an effective architecture for image processing using Storlets done at NTT.


Swift Hackathon

  • The purpose of the session is to update the community on what's happening in the openstack-storlets project and get feedback on number of subjects (the intention is not to discuss pushing the middleware to Swift at this point).


'Bugs"