Abstract: Methods and systems to compute cost efficiency of virtual machines (“VMs”) running in a private cloud are described. Methods and systems compute a cost efficiency value for each VM in the private cloud based on cost of the VM in the private cloud, cost of similar VMs in the private cloud, price of similar VM running in the public cloud, and the cost of similar VMs running in one or more private clouds in the same geographical area. When the cost efficiency of a VM is greater than a cost efficiency threshold, the methods generate an alert and recommendations for moving the VM to a lower cost public cloud.

Abstract: Methods and systems allocate storage costs to virtual machines (“VMs”) in a virtual data center. Methods calculate a datastore-base rate based on datastore utilized-storage capacity in each LD and each LD-base rate when the datastore utilized-storage capacity and each LD-base rate are available. Datastore total cost is calculated by multiplying the datastore-base rate by the datastore utilized-storage capacity. Methods also use graph based methods to calculate datastore-base rates when the datastore utilized-storage capacity is unknown for each LD. The datastore-base rate associated with each datastore may then be used to calculate a VM storage cost of each VM hosted by a datastore.

Abstract: Techniques for migrating a VM in a hybrid cloud computing system are provided. The techniques include identifying a similar VM at the destination, comparing dictionaries for the VM to be transmitted and the similar VM, and compressing the VM based on the comparison. After transmitting the compressed VM, the destination decompresses the VM using the dictionary of the similar VM. Dictionaries associate chunks of VM data with hashes of those chunks. This allows replacement of chunks with the hashes, thereby compressing the VM for transmission.

Abstract: Techniques for migrating a VM in a hybrid cloud computing system are provided. The techniques include identifying a similar VM at the destination, comparing dictionaries for the VM to be transmitted and the similar VM, and compressing the VM based on the comparison. After transmitting the compressed VM, the destination decompresses the VM using the dictionary of the similar VM. Dictionaries associate chunks of VM data with hashes of those chunks. This allows replacement of chunks with the hashes, thereby compressing the VM for transmission.

Abstract: Methods and systems to compute cost efficiency of virtual machines (“VMs”) running in a private cloud are described. Methods and systems compute a cost efficiency value for each VM in the private cloud based on cost of the VM in the private cloud, cost of similar VMs in the private cloud, price of similar VM running in the public cloud, and the cost of similar VMs running in one or more private clouds in the same geographical area. When the cost efficiency of a VM is greater than a cost efficiency threshold, the methods generate an alert and recommendations for moving the VM to a lower cost public cloud.

Abstract: Methods and systems to compute cost efficiency of virtual machines (“VMs”) running in a private cloud are described. Methods and systems compute a cost efficiency value for each VM in the private cloud based on cost of the VM in the private cloud, cost of similar VMs in the private cloud, price of similar VM running in the public cloud, and the cost of similar VMs running in one or more private clouds in the same geographical area. When the cost efficiency of a VM is greater than a cost efficiency threshold, the methods generate an alert and recommendations for moving the VM to a lower cost public cloud.

Abstract: Methods and systems allocate storage costs to virtual machines (“VMs”) in a virtual data center. Methods calculate a datastore-base rate based on datastore utilized-storage capacity in each LD and each LD-base rate when the datastore utilized-storage capacity and each LD-base rate are available. Datastore total cost is calculated by multiplying the datastore-base rate by the datastore utilized-storage capacity. Methods also use graph based methods to calculate datastore-base rates when the datastore utilized-storage capacity is unknown for each LD. The datastore-base rate associated with each datastore may then be used to calculate a VM storage cost of each VM hosted by a datastore.

Abstract: Methods and systems to compute cost efficiency of virtual machines (“VMs”) running in a private cloud are described. Methods and systems compute a cost efficiency value for each VM in the private cloud based on cost of the VM in the private cloud, cost of similar VMs in the private cloud, price of similar VM running in the public cloud, and the cost of similar VMs running in one or more private clouds in the same geographical area. When the cost efficiency of a VM is greater than a cost efficiency threshold, the methods generate an alert and recommendations for moving the VM to a lower cost public cloud.

Abstract: The present invention provides a method of inhibiting growth of lung metastases in an individual comprising the steps of administering in a combination an aerosolized polyethylenimine-DNA complex and an aerosolized liposome-anticancer drug complex with both of the complexes delivered via aerosolization. Delivery of both the DNA and the anticancer drug via this method inhibits growth of lung metastases in the individual. Also provided is a method of inhibiting growth of lung metastases in an individual by the administration in combination via aerosolization of a polyethylenimine-p53 complex and a dilauroylphosphatidylcholine-9-nitrocamptothecin complex.