Abstract: A method and system. A cloud computing system is configured into an operative status by defining a virtual machine (VM) topology representing a respective virtual machine assignment for each physical server of the cloud computing system. An objects database (ODB) stores: a respective software cost per software application in one or more software license pools, and a power cost of the cloud computing system. It is determined that the cloud computing system does not perform optimally with respect to a total cost of the cloud computing system, which is a sum of the respective software cost and the power cost. The workload of the cloud computing system is distributed pursuant to a new VM topology that has a minimum total cost of the cloud computing system.

Abstract: A method and system. A cloud computing system is configured into an operative status by defining a virtual machine (VM) topology representing a respective virtual machine assignment for each physical server of the cloud computing system. An objects database (ODB) stores: a respective software cost per software application in one or more software license pools, and a power cost of the cloud computing system. It is determined that the cloud computing system does not perform optimally with respect to a total cost of the cloud computing system, which is a sum of the respective software cost and the power cost. The workload of the cloud computing system is distributed pursuant to a new VM topology that has a minimum total cost of the cloud computing system.

Abstract: A method and system for dynamically optimizing workload of a cloud computing system. The cloud computing system is configured into an operative status by defining a virtual machine (VM) topology representing a respective virtual machine assignment for each physical server of the cloud computing system. An objects database (ODB) stores: business policies, a respective software cost per software application in one or more software license pools, and a power cost of the cloud computing system. It is determined that the cloud computing system does not perform optimally with respect to a total cost of the cloud computing system, which is a sum of the respective software cost and the power cost. The workload of the cloud computing system is distributed pursuant to a new VM topology that has a minimum total cost of the cloud computing system pursuant to the business policies stored in the ODB.

Abstract: A method and system for dynamically optimizing workload of a cloud computing system. The cloud computing system is configured into an operative status by defining a virtual machine (VM) topology representing a respective virtual machine assignment for each physical server of the cloud computing system. An objects database (ODB) stores: business policies, a respective software cost per software application in one or more software license pools, and a power cost of the cloud computing system. It is determined that the cloud computing system does not perform optimally with respect to a total cost of the cloud computing system, which is a sum of the respective software cost and the power cost. The workload of the cloud computing system is distributed pursuant to a new VM topology that has a minimum total cost of the cloud computing system pursuant to the business policies stored in the ODB.

Abstract: A system and associated method for dynamically optimizing workload of a cloud computing system is disclosed. The cloud computing system comprises virtual machines, physical servers, a smart cloud workload balancer (SCWB), and an objects database (ODB) storing various parameters controlling operations and optimization behavior of the cloud computing system. The SCWB configures and runs the cloud computing system based on a VM topology. When the SCWB determines that the cloud computing system does not perform optimally based on a total cost of software cost for licensing all VMs and power cost of all running physical server, the SCWB calculates a new VM topology that minimizes the total cost and relocates VMs pursuant to the new VM topology.

Abstract: A system and associated method for dynamically optimizing workload of a cloud computing system is disclosed. The cloud computing system comprises virtual machines, physical servers, a smart cloud workload balancer (SCWB), and an objects database (ODB) storing various parameters controlling operations and optimization behavior of the cloud computing system. The SCWB configures and runs the cloud computing system based on a VM topology. When the SCWB determines that the cloud computing system does not perform optimally based on a total cost of software cost for licensing all VMs and power cost of all running physical server, the SCWB calculates a new VM topology that minimizes the total cost and relocates VMs pursuant to the new VM topology.