< Home | Return to Ballot listing

Ballot Details    TC Member Ballot View
SAF abstract submission to IBM CASCON

The SAF TC aims to be represented in the IBM CASCON Diagnosis Workshop (https://www-927.ibm.com/ibm/cas/cascon/). Please vote whether you agree to use the proposed abstract for submission below (which is the intro from the SAF for Cloud Business Alignment slidedeck):

"Human experts in specific IT infrastructure and business domains possess substantial knowledge about prevention, remediation, and optimization of systems based on business conditions. The Cloud breaks down opportunities for these experts (often residing in multiple cloud consumers and providers) to collaborate in order to effectively capture, combine, and leverage this silo-ed knowledge across their various multiple domains in an automated fashion.
Thus, while cloud providers will be able to provide standardized management interfaces to control their services, business consumers will be unable to adequately automate and obtain value for their business using these management interfaces.
The Symptoms Automation Framework (SAF) is a catalog-based XML collaborative knowledge framework that is designed to address these challenges by automating appropriate responses to changing business conditions and integrating contributions from diverse domains. SAF has applicability to cloud computing (using the SAF Cloud Profile currently under development) as well as many other architectures and disciplines"

 [ ]  Yes
 [ ]  No
 [ ]  Abstain
Opening:   Thursday, 2 September 2010 @ 07:00 am UTC
Closing:   Friday, 3 September 2010 @ 05:00 pm UTC
Group:   OASIS Symptoms Automation Framework (SAF) TC
Ballot has closed.

Voting Details

Voting Summary

Options with highest number of votes are bold

Option # Votes % of Total
Yes 5 100%
No 0 0%
Abstain 0
Eligible members who have voted: 5 of 6 83%
Eligible members who have abstained: 0 of 6 0%
Eligible members who have not voted: 1 of 6 17%

Voting Details

Voter Company VoteReference Document and/or Comment
Alvin Black
Jeffrey Vaught
Paul Lipton
David Snelling
Fujitsu Limited
Stavros Isaiadis
Fujitsu Limited
Vivian Lee
Fujitsu Limited