This is my thoughts on a detailed algorithm for the PolicyEngineComputation.

NOTE: The current algorithm places the importance of running of all resources over the running of a resource on a given node.

Required Objects

node { 
 char *id;
 int weight;
};

color {
 int id;
 node *candidate_nodes;
 node chosen_node;
};

placement_constraint {
 resource res_lh;
 resource res_rh;
 node     node_rh;
 enum contype operation;
};

resource {
 char *id;
 xmlNodePtr xml;
 int priority;
 int *candidate_colors;
 int color;
 gboolean provisional;
 node *allowed_nodes;
 placement_constraint *positive;
 placement_constraint *negative;
};

Phase 1 : Unpack

1. Unpack Nodes into a GSList
2. Sort GSList by node.id
3. Unpack Resources into GSList
   1. Filter inactive nodes out of resource.candiate_nodes
   2. Sort Resources by resource.priority
4. Unpack Constraints
   1. Process Constraints

      1. Duplicate and invert binary constraints (A != B --> A != B, B != A)

      2. Anything else?
   2. Attach constraints to resource.positive or resource.negative depending on type
   3. Further filter resource.allowed_nodes based on any resource_to_node type constraints

Phase 2 : Color

1. Set initial color
2. Set color.candidate_nodes = all active nodes
3. Set resource.color = color (all resources)
4. Set resource.provisional = TRUE (all resources)
5. Take (next) highest resource
   1. if resource.provisional == FALSE, repeat
6. For resource.negative,

   1. if resource.negative.res_rh.provisional == FALSE
      Remove resource.negative.res_rh.color from resource.candiate_colors

7. Choose a color (this may need modification pending further napkin drawings)
   1. For resource.candidate_colors

      1. If resource.candidate_color.candidate_nodes & resource.allowed_nodes != NULL

         1. resource.candidate_color.candidate_nodes &= resource.allowed_nodes

         2. merge node weights
         3. resource.color = resource.candidate_color
         4. resource.provisional = FALSE
   2. If resource.provisional = TRUE
      1. Create new color
      2. color.candidate_nodes = resource.allowed_nodes
      3. resource.color = color
      4. resource.provisional = FALSE
8. For resource.positive,
   1. resource.positive.res_rh.color = resource.color
   2. resource.positive.res_rh.provisional = FALSE
9. For resources,

   1. If resource.provisional = FALSE
      Add current color to resource.candidate_colors

10. For resource.negative,

    1. if resource.negative.res_rh.provisional == FALSE
       Remove resource.color from resource.negative.res_rh.candidate_colors

11. Goto step 5

Phase 3 : Choose Nodes

For colors,

1. If color(n) ^ color(n+1) == NULL
   1. Sort color.candidate_nodes by weight
   2. color.chosen_node = highest wieghted node

2. Else if color(n) & !color(n+1) != NULL

   1. Sort (color(n) & !color(n+1)) by weight

   2. color.chosen_node = highest wieghted node
3. Else

   1. Sort (color(n+1) & !color(n)) by weight

   2. color.chosen_node = highest wieghted node

Phase 4 : Create Transition Graph

Phase 5 : Profit

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