Abstract: A system and method are provided for determining host assignments for sub-groups of virtual machines (VMs) in a computing environment comprising a plurality of hosts, each host configured for hosting zero or more VMs. The method comprises: determining at least one sub-group of VMs from an overall set of VMs, according to at least one technical or business criterion; and determining, for each sub-group of VMs, a particular set of hosts from the plurality of hosts to be assigned to that sub-group of VMs, based on at least one of: VM-host compatibilities, and existing VM-host placements.

Abstract: Compatibility and consolidation analyses can be performed on a collection of systems to evaluate the 1-to-1 compatibility of every source-target pair, evaluate the multi-dimensional compatibility of specific transfer sets, and to determine the best consolidation solution based on various constraints including the compatibility scores of the transfer sets. The analyses can be done together or be performed independently. These analyses are based on collected system data related to their technical configuration, business factors and workloads. Differential rule sets and workload compatibility algorithms are used to evaluate the compatibility of systems. The technical configuration, business and workload related compatibility results are combined to create an overall compatibility assessment.

Abstract: Compatibility and consolidation analyses can be performed on a collection of systems to evaluate the 1-to-1 compatibility of every source-target pair, evaluate the multi-dimensional compatibility of specific transfer sets, and to determine the best consolidation solution based on various constraints including the compatibility scores of the transfer sets. The analyses can be done together or be performed independently. These analyses are based on collected system data related to their technical configuration, business factors and workloads. Differential rule sets and workload compatibility algorithms are used to evaluate the compatibility of systems. The technical configuration, business and workload related compatibility results are combined to create an overall compatibility assessment. These results are visually represented using color coded scorecard maps.

Abstract: A system and method are provided for routing workloads in an information technology infrastructure using models of same. The method includes determining at least one proximity group of workloads; determining at least one proximity zone in the infrastructure for routing each proximity group; and determining a workload routing solution subject to one or more constraints defined by one or more proximity based rules.

Abstract: Compatibility and consolidation analyses can be performed on a collection of systems to evaluate the 1-to-1 compatibility of every source-target pair, evaluate the multi-dimensional compatibility of specific transfer sets, and to determine the best consolidation solution based on various constraints including the compatibility scores of the transfer sets. The analyses can be done together or be performed independently. These analyses are based on collected system data related to their technical configuration, business factors and workloads. Differential rule sets and workload compatibility algorithms are used to evaluate the compatibility of systems. The technical configuration, business and workload related compatibility results are combined to create an overall compatibility assessment. These results are visually represented using color coded scorecard maps.

Abstract: A system and method are provided for determining and visualizing efficiencies and risks in computing environments. The method comprises obtaining resource utilization data and resource capacity data for a plurality of entities in a computing environment; obtaining at least one operational policy defining at appropriate level of at least one resource used by the computing environment according to at least one factor; and computing at least one score quantifying efficiencies and risks associated with the computing environment based on the resource utilization data, resource capacity data, and at least one operational policy.

Abstract: It has been recognized that to accurately measure the required resource capacity of computing systems such as servers, various relevant factors should be considered, since the capacity may be excess or insufficient. This measurement can be reflected by the ratio of the theoretical minimum server capacity required relative to the actual server capacity provisioned, hereinafter also referred to as the “fully loaded utilization”, which can be expressed in various ways, including as a percentage or an efficiency index or other number or value.