Difference between revisions of "Storage"

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===Upcoming Meeting===
 
===Upcoming Meeting===
  
'''Date and Time:''' Thursday Feb 13 at 1:00PM PST/4:00PM EST.
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'''Date and Time:''' Thursday March 13 at 1:00PM PST/4:00PM EST.
  
 
To find out the time of this meeting in your timezone go to:  
 
To find out the time of this meeting in your timezone go to:  
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* Meeting URL  
 
* Meeting URL  
 
http://fuze.me/22568267
 
http://fuze.me/22568267
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* Toll / Intl #: +1 (201) 479-4595
 
* Toll / Intl #: +1 (201) 479-4595

Revision as of 18:52, 7 March 2014

OCP Storage

Chair: Asghar Riahi, Seagate

Mission Statement

Work In Progress

The OCP Storage committee focuses on creating specifications that drive open innovation in hardware and software to enable new storage applications and provide users greater efficiency and value.

The current charter doc is linked in the sidebar on http://www.opencompute.org/projects/storage/

Links to Specs

This will be a wiki page not the website

Monthly Project Meetings (online)

The 2nd Thursday of every month at 1pm Pacific (ie 2 Mountain, 3 Central, 4 Eastern).

Upcoming Meeting

Date and Time: Thursday March 13 at 1:00PM PST/4:00PM EST.

To find out the time of this meeting in your timezone go to: http://www.timeanddate.com/worldclock/converter.html

Agenda:

  • Summary of OCP Summit V
  • Review submitted projects and their status
  • Upcoming events
  • Use case document, what is the status
  • Open Forum

If you would like to have anything added to the agenda you can add it at: http://pad.opencompute.org:9001/p/OCP_Storage_Call_13_Feb_2014

How to join the call


  • Meeting URL

http://fuze.me/22568267


  • Toll / Intl #: +1 (201) 479-4595
  • Toll free #: +1 (855) 346-3893
  • Meeting number: 22568267

Please Note: Just a reminder that this call will be recorded and shared in the meeting notes.

Meetups

http://www.meetup.com/SFBay-Open-Compute-Project-OCP-Storage/

Regional Engineering Summit

MIT Spring 2013

Use Cases

  • large-scale, highly available data
  • large-scale, "cold" data
  • frequently accessed data

References