December 11-13  - Santa Clara, CA
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Tuesday, December 12 • 4:15pm - 5:00pm
State, Context, Adaptability, and Scale for Self-Learning Closed Loop Policies

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Regardless of its domains of application, the policy system at the centre of a closed loop system such as ONAP will need to have some very stringent and dissonant quality attributes. As well as ensuring that the correct policy is in the correct place at the correct time, executing policies must preserve state and yet scale and must take account of their (possibly conflicting) context and yet be adaptable. In this talk we discuss the relative importance of these quality attributes when applied to a system such as ONAP. We draw on our work in Policy to discuss how policies that hold state at run time can be scaled, and how a policy system can be engineered to be adaptable even as its state and context changes. We go on to make some suggestion on how the architecture and implementation of the ONAP policy framework can evolve to meet the S3P/Carrier grade requirements

avatar for Liam Fallon

Liam Fallon

Principal Engineer, Ericsson Software Technology
Dr. Liam Fallon is a Principal Engineer at Ericsson Softare Technology, Ericsson's centre of excellence for open source development. Liam is a network management practitioner and researcher with over 30 years of industrial experience in crafting software systems in that domain. He... Read More →

Tuesday December 12, 2017 4:15pm - 5:00pm PST
173 https://zoom.us/j/920665559