nodeload[i] = int(nodeload[i] * 16 / len(info['node_to_cpu'][i]))
else:
nodeload[i] = sys.maxint
- index = nodeload.index( min(nodeload) )
- return index
+ return map(lambda x: x[0], sorted(enumerate(nodeload), key=lambda x:x[1]))
info = xc.physinfo()
if info['nr_nodes'] > 1:
for i in range(0, info['nr_nodes']):
if node_memory_list[i] >= needmem and len(info['node_to_cpu'][i]) > 0:
candidate_node_list.append(i)
- index = find_relaxed_node(candidate_node_list)
- cpumask = info['node_to_cpu'][index]
+ best_node = find_relaxed_node(candidate_node_list)[0]
+ cpumask = info['node_to_cpu'][best_node]
+ cores_per_node = info['nr_cpus'] / info['nr_nodes']
+ nodes_required = (self.info['VCPUs_max'] + cores_per_node - 1) / cores_per_node
+ if nodes_required > 1:
+ log.debug("allocating %d NUMA nodes", nodes_required)
+ best_nodes = find_relaxed_node(filter(lambda x: x != best_node, range(0,info['nr_nodes'])))
+ for i in best_nodes[:nodes_required - 1]:
+ cpumask = cpumask + info['node_to_cpu'][i]
for v in range(0, self.info['VCPUs_max']):
xc.vcpu_setaffinity(self.domid, v, cpumask)
return index