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: 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: A system and method are provided for determining workload reservations in a virtual or cloud computing environment, the method comprising: determining a workload to be booked and a time for which the booking is to be placed in the environment; modeling a future demand in the environment; modeling a future supply of hosts in the environment based on data obtained from the environment; executing a placement analysis using a future demand model, a future supply model, and at least one policy indicative of parameters of the placement; and using a result of the placement analysis in completing or rejecting a booking for the workload.

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: 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.

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: A system and method are provided for determining workload reservations in a virtual or cloud computing environment, the method comprising: determining a workload to be booked and a time for which the booking is to be placed in the environment; modeling a future demand in the environment; modeling a future supply of hosts in the environment based on data obtained from the environment; executing a placement analysis using a future demand model, a future supply model, and at least one policy indicative of parameters of the placement; and using a result of the placement analysis in completing or rejecting a booking for the workload.

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: 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.

Abstract: Systems and method for performing a consolidation analysis and visually representing the analysis are provided. The analysis is conducted by performing an audit, performing system compatibility and workload compatibility analyses using the audit data and rule sets. The results of the individual analyses are combined to create an overall compatibility co-habitation analysis and visual consolidation roadmap including scorecard information. The system and workload analyses may be performed to contribute to the overall co-habitation analyses, but also performed on their own.

Abstract: A method for evaluating the differences between computer systems is provided. The systems are evaluated using one or more differential rule definitions and one or more differential rule sets. The rules evaluate the differences between specific parameters in the computer systems and are used to generate a score that indicates how different the systems are based on these parameters and preferably what the cost to remedy the difference would be. The rules can be used for consolidation analysis, compliance analysis etc. The rules each include a weight that quantifies the importance of the rule to compatibility and the score is affected accordingly. Systems can be evaluated against each other or against themselves at different instances in time.

Abstract: A system and method for generating statistical reports showing distribution, variance, outliers and trends for parameters across a set of computer systems is provided. The reports are generated based on audited data for each system that pertains to the parameters. A distribution report assesses the uniformity of the parameters of a population of systems and provides frequency distributions and statistics describing the data values from the analyzed systems. A variance report assesses the conformity of one or more target systems against a reference data set comprised of a set of baseline systems. The report compares each target system individually against the reference data set to measure the consistency of the target's parameters. A trend report shows trends in the uniformity and conformity measures of the parameters by comparing the statistical analysis results of sets of systems at two or more points in time or the different systems at the same time.

Abstract: A system and method for generating statistical reports showing distribution, variance, outliers and trends for parameters across a set of computer systems is provided. The reports are generated based on audited data for each system that pertains to the parameters. A distribution report assesses the uniformity of the parameters of a population of systems and provides frequency distributions and statistics describing the data values from the analyzed systems. A variance report assesses the conformity of one or more target systems against a reference data set comprised of a set of baseline systems. The report compares each target system individually against the reference data set to measure the consistency of the target's parameters. A trend report shows trends in the uniformity and conformity measures of the parameters by comparing the statistical analysis results of sets of systems at two or more points in time or the different systems at the same time.

Abstract: Systems and method for performing a consolidation analysis and visually representing the analysis are provided. The analysis is conducted by performing an audit, performing system compatibility and workload compatibility analyses using the audit data and rule sets. The results of the individual analyses are combined to create an overall compatibility co-habitation analysis and visual consolidation roadmap including scorecard information. The system and workload analyses may be performed to contribute to the overall co-habitation analyses, but also performed on their own.

Abstract: A method for evaluating the differences between computer systems is provided. The systems are evaluated using one or more differential rule definitions and one or more differential rule sets. The rules evaluate the differences between specific parameters in the computer systems and are used to generate a score that indicates how different the systems are based on these parameters and preferably what the cost to remedy the difference would be. The rules can be used for consolidation analysis, compliance analysis etc. The rules each include a weight that quantifies the importance of the rule to compatibility and the score is affected accordingly. Systems can be evaluated against each other or against themselves at different instances in time.

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.