Abstract: In some examples, a method can involve collecting resource consumption data for resource consumer objects associated with hosts in a computing environment. The method can involve identifying, for each respective host, a respective set of resource consumer objects at the host and, based on the resource consumption data, determining a projected resource consumption history for each host, the projected resource consumption history being based on a combined resource consumption, over a period of time, associated with the respective set of resource consumer objects currently hosted a the host. The method can involve calculating a projected resource availability for each host based on a respective resource capability of the host and the projected resource consumption history for the host, and selecting a particular host for a resource consumer object based on the projected resource availability of each host.

Abstract: In some examples, a method can involve collecting resource consumption data for resource consumer objects associated with hosts in a computing environment. The method can involve identifying, for each respective host, a respective set of resource consumer objects at the host and, based on the resource consumption data, determining a projected resource consumption history for each host, the projected resource consumption history being based on a combined resource consumption, over a period of time, associated with the respective set of resource consumer objects currently hosted a the host. The method can involve calculating a projected resource availability for each host based on a respective resource capability of the host and the projected resource consumption history for the host, and selecting a particular host for a resource consumer object based on the projected resource availability of each host.

Abstract: A system for providing healthcare providers, hospitals, and health plans with quality and cost data for risk-adjusted outcomes for patients within clinical service lines. The system integrates with the provider's or hospital's existing data management systems and sources to analyze patient care and outcomes using statistical analysis. The system produces tailored, risk-adjusted clinical outcomes and cost models, highlighting opportunities for improvements within a provider's or hospital's clinical landscapes, allowing providers, hospitals and health plans to quantify cost savings through focused efforts to improve clinical quality and reduce adverse effects. The system concentrates on class of complication, cost of complications, and financial returns and providing hospitals and health plans a comprehensive view of clinical performance.