Nejc Saje 9a2f8618de Central agent work-load partitioning ... Provides a mechanism to allow the central agent to be horizontally scaled out, such that each agent polls a disjoint subset of resources. This is achieved through the use of `tooz` library for distributed coordination. If a service wants to use work-load partitioning, it must first create a PartitionCoordinator object and call its `heartbeat` method periodically. To distribute a set of resources over multiple agents, use the `extract_my_subset` method of the PartitionCoordinator that filters an iterable, returning only the resources assigned to us. The `PartitionCoordinator` uses `tooz` to figure out which agents are in the same group and figures out which resources belong to the current agent. DocImpact Change-Id: I7adef87b03129f4f8b38109bf547c7403cc6adad Implements: blueprint central-agent-partitioning		2014-09-01 05:31:58 -04:00
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__init__.py	Create "central" agent	2012-07-31 09:11:21 -04:00
manager.py	Central agent work-load partitioning	2014-09-01 05:31:58 -04:00
plugin.py	skip polls if service is not registered	2014-08-24 21:28:37 +00:00