Persistent Compute Objects, or picos, are tools for modeling the Internet of Things. A pico represents an entity—something that has a unique identity and a long-lived existence. Picos can represent people, places, things, organizations, and even ideas.

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In the same way that operating systems provide more complex, more flexible services for developers than the bare metal of the machine, CloudOSWrangler provides pico programmers with important services that make picos easier to use and manage. For example, CloudOS Wrangler provides services for creating new picos and creating communication channels between picos.Note: I don't really like the name CloudOS, but it's all I've got for now. If you have ideas, I'm open to them so long as they are not "pico os" or "POS."

Rulesets

The basic module for programming picos is a ruleset. A ruleset is a collection of rules that respond to events. But a ruleset is more than that. Functions in the ruleset make up the queries that are available in the event query API. Thus, the specific event-query API that a given pico presents to the world correlates exactly to the rulesets that are installed in the pico.

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I invite your questions and participation.

KRL

KRL Rulesets execute inside a persistent compute object, or pico. 

While rulesets are the primary organizing feature of KRL, you cannot program KRL without understanding picos. 

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