# define weight to be 1, since this slot supports exactly one match
 SLOT_WEIGHT = 1
 {endcode}
+
+{subsubsection: Multi-Centric Policy}
+What is "most limiting" resource might be contingent on job requirements.   It is possible to define slot weight to take this into account, as in this example:
+{code}
+# Either Cpus or Memory might be limiting, depending on job requirements
+CONSUMPTION_CPUS = target.RequestCpus
+CONSUMPTION_MEMORY = quantize(target.RequestMemory, {256})
+CONSUMPTION_DISK = quantize(target.RequestDisk, {128})
+# define slot weight as minimum of remaining-match estimate based on either cpus or memory:
+SLOT_WEIGHT = ifThenElse(Cpus < floor(Memory/256), Cpus, floor(Memory/256))
+{endcode}
+
+{subsubsection: Handle missing request attributes}
+RequestXxx attributes are not always guaranteed to be present, so Consumption Policy expressions should take this into account. For example a policy that involves Extensible Resources cannot assume jobs will be requesting such a resource.
+{code}
+# declare an extensible resource
+MACHINE_RESOURCE_actuators = 8
+# policy for actuators that interprets missing request as 'zero', which is a good idiom for extensibe resources that many jobs are likely to not use or care about
+CONSUMPTION_ACTUATORS = ifThenElse(target.RequestActuators =!= undefined, target.RequestActuators, 0)
+{endcode}