LOG.setLevel(logging.DEBUG)
-class UpbSimpleCloudDcApproxRM(BaseResourceModel):
+class UpbSimpleCloudDcRM(BaseResourceModel):
"""
This will be an example resource model that limits the overall
resources that can be deployed per data center.
+ No over provisioning. Resources are fixed throughout entire container
+ lifetime.
"""
- # TODO Implement resource model issue #12
def __init__(self, max_cu=32, max_mu=1024):
- self._max_cu = max_cu
- self._max_mu = max_mu
+ """
+ Initialize model.
+ :param max_cu: Maximum number of compute units available in this DC.
+ :param max_mu: Maximum memory of entire dc.
+ :return:
+ """
+ self.dc_max_cu = max_cu
+ self.dc_max_mu = max_mu
+ self.dc_alloc_cu = 0
super(self.__class__, self).__init__()
+ def allocate(self, name, flavor_name):
+ """
+ Calculate resources for container with given flavor.
+ :param name: Container name.
+ :param flavor_name: Flavor name.
+ :return:
+ """
+ # TODO Add memory model calculation (split in private methods for each tuple component)
+ # bookkeeping and flavor handling
+ if flavor_name not in self._flavors:
+ raise Exception("Flavor %r does not exist" % flavor_name)
+ fl = self._flavors.get(flavor_name)
+ fl_cu = fl.get("compute")
+ self.allocated_compute_instances[name] = flavor_name
+ # check for over provisioning
+ if self.dc_alloc_cu + fl_cu > self.dc_max_cu:
+ raise Exception("Not enough compute resources left.")
+ self.dc_alloc_cu += fl_cu
+ #
+ # calculate cpu limitation:
+ #
+ # get cpu time fraction for entire emulation
+ e_cpu = self.registrar.e_cpu
+ # calculate cpu time fraction of a single compute unit
+ cu = e_cpu / sum([rm.dc_max_cu for rm in list(self.registrar.resource_models)])
+ # calculate cpu time fraction for container with given flavor
+ c_ct = cu * fl_cu
+ return c_ct, -1.0, -1.0 # return 3tuple (cpu, memory, disk)
+
+ def free(self, name):
+ """
+ Free resources of given container.
+ :param name: Container name.
+ :return:
+ """
+ if name not in self.allocated_compute_instances:
+ return False
+ # bookkeeping
+ self.dc_alloc_cu -= self._flavors.get(self.allocated_compute_instances[name]).get("compute")
+ del self.allocated_compute_instances[name]
+ # we don't have to calculate anything special here in this simple model
+ return True