xend: fix best NUMA node allocation

Since we moved several NUMA info fields from physinfo into separate
functions/structures, we must adapt the node picking algorithm, too.
Currently xm create complains about undefined hash values.
The patch uses the new Python xc binding to get the information and
create a reverse mapping for node_to_cpu, since we now only have a
cpu_to_node field.

Signed-off-by: Andre Przywara <andre.przywara@amd.com>
This commit is contained in:
Keir Fraser committed 2010-04-15 17:36:16 +01:00
1 parent 254a13846c
commit a667809cd4
1 file changed
+17 -12
+17 -12
View File
@@ -2711,7 +2711,7 @@ class XendDomainInfo:
else:
def find_relaxed_node(node_list):
import sys
nr_nodes = info['max_node_id']+1
nr_nodes = info['max_node_index'] + 1
if node_list is None:
node_list = range(0, nr_nodes)
nodeload = [0]
@@ -2724,35 +2724,40 @@ class XendDomainInfo:
if sxp.child_value(vcpu, 'online') == 0: continue
cpumap = list(sxp.child_value(vcpu,'cpumap'))
for i in range(0, nr_nodes):
node_cpumask = info['node_to_cpu'][i]
node_cpumask = node_to_cpu[i]
for j in node_cpumask:
if j in cpumap:
nodeload[i] += 1
break
for i in range(0, nr_nodes):
if len(info['node_to_cpu'][i]) == 0:
if len(node_to_cpu[i]) == 0:
nodeload[i] += 8
else:
nodeload[i] = int(nodeload[i] * 16 / len(info['node_to_cpu'][i]))
nodeload[i] = int(nodeload[i] * 16 / len(node_to_cpu[i]))
if i not in node_list:
nodeload[i] += 8
return map(lambda x: x[0], sorted(enumerate(nodeload), key=lambda x:x[1]))
info = xc.physinfo()
if info['nr_nodes'] > 1:
node_memory_list = info['node_to_memory']
info = xc.numainfo()
if info['max_node_index'] > 0:
node_memory_list = info['node_memfree']
node_to_cpu = []
for i in range(0, info['max_node_index'] + 1):
node_to_cpu.append([])
for cpu, node in enumerate(xc.topologyinfo()['cpu_to_node']):
node_to_cpu[node].append(cpu)
needmem = self.image.getRequiredAvailableMemory(self.info['memory_dynamic_max']) / 1024
candidate_node_list = []
for i in range(0, info['max_node_id']+1):
if node_memory_list[i] >= needmem and len(info['node_to_cpu'][i]) > 0:
for i in range(0, info['max_node_index'] + 1):
if node_memory_list[i] >= needmem and len(node_to_cpu[i]) > 0:
candidate_node_list.append(i)
best_node = find_relaxed_node(candidate_node_list)[0]
cpumask = info['node_to_cpu'][best_node]
best_nodes = find_relaxed_node(filter(lambda x: x != best_node, range(0,info['max_node_id']+1)))
cpumask = node_to_cpu[best_node]
best_nodes = find_relaxed_node(filter(lambda x: x != best_node, range(0,info['max_node_index']+1)))
for node_idx in best_nodes:
if len(cpumask) >= self.info['VCPUs_max']:
break
cpumask = cpumask + info['node_to_cpu'][node_idx]
cpumask = cpumask + node_to_cpu[node_idx]
log.debug("allocating additional NUMA node %d", node_idx)
for v in range(0, self.info['VCPUs_max']):
xc.vcpu_setaffinity(self.domid, v, cpumask)
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