def outtestfindExpectedDesign(self):
"""Perform the actual search for a design"""
# Generate all the design candidates
# Instantiate cost model
cmConfig = {
'weight_network': 4,
'weight_disk': 1,
'weight_skew': 1,
'nodes': 10,
'max_memory': 1024,
'skew_intervals': 10,
'address_size': 64,
'window_size': 500
}
cm = CostModel(self.collections, self.workload, cmConfig)
initialDesign = InitialDesigner(self.collections, self.workload, None).generate()
upper_bound = cm.overallCost(initialDesign)
print "init solution: ", initialDesign
print "init solution cost: ", upper_bound
collectionNames = [c for c in self.collections]
dc = self.dc.getCandidates(collectionNames)
print "candidates: ", dc
ln = LNSDesigner(self.collections, \
self.dc, \
self.workload, \
None, \
cm, \
initialDesign, \
upper_bound, \
LNS_RUN_TIME)
solution = ln.solve()
print "Best cost: ", ln.bestCost
print "solution: ", solution
def search(self, initialCost, initialDesign, worker_id):
"""
Main search process starts here
"""
lock = thread.allocate_lock()
self.search_method = LNSDesigner(self.collections, self.designCandidates, self.workload, self.config, self.cm, initialDesign, initialCost, self.channel, lock, worker_id)
self.search_method.start()
## DEF
## CLASS
