Abstract: The disclosed technology is generally directed to virtual machines. In one example of the technology, a network change from a first virtual network to a second virtual network is reconfigured for a first virtual machine that is executing on a first virtual machine host. The reconfiguring includes the following. In the first virtual machine host, a mapping change from the first virtual network to the second virtual network is configured by reprogramming drivers in the first virtual machine host for route mapping for the second virtual network. A Dynamic Host Configuration Protocol (DHCP) retrigger is caused without rebooting the first virtual machine. A configuration file is provided to the first virtual machine. The configuration file includes user-specific networking settings. The first virtual machine is reconfigured in accordance with the user-specific networking settings.

Abstract: The system may project and prioritize remediation timelines and costs, such that owners may prioritize spend across a portfolio of contaminated properties to maximize the overall effect of contamination remediation efforts, and to increase the likelihood of regulatory acceptance of proposed remediation strategies. The system may include a method for developing, an extreme event risk score based on operational environment data, legislative environment data and a data environment; determining a remediation score based on harm reduction data, cost data, sustainability data, resiliency data, the extreme event risk score and the data environment; determining a remediated risk score based on an initial risk score and the remediation score; determining a risk rating pre-remediation based on the initial risk score and an information depth score; and determining the risk rating post-remediation based on the remediated risk score and the information depth score.

Abstract: A method and system for determining an entity's future commercial viability which comprises: (a) using a first predictive modeling, determining a future commercial viability of the entity, the first predictive modeling is derived by identifying patterns in data and relating to predictive attributes, thereby generating a viability score; (b) using predictive modeling to generate a relative ranking of the entity against its peer group, thereby generating a comparative viability score (i.e.