Abstract: A method comprises receiving a list of names of compute resources of an enterprise network, the names of compute resources including at least one name of a virtual machine and at least one name of a host, for each of the list of names: assessing a particular name of the list of names for removable data and removing the removable data to generate a feature for that particular name, for each feature, determining distances based on at least one metric for every other feature, grouping features based on distances, each feature being in only one group, recommending groups of compute resources based on groups of features, each feature of a group of features being associated with a different compute resource, the group of compute resources corresponding to a particular group of features, and providing a report of recommended groups.

Abstract: A method comprising identifying a plurality of compute resources of an enterprise network, the compute resources including ports associated with each compute resource, each port being in communication with entities within and outside the enterprise network, for each identified compute resources, identifying a subset of ports associated with a particular compute resource based on a number of connections and a port number of each port, and the ports of the subset of ports being an N most frequently used ports of a particular compute resource of the plurality of compute resources, determining a port signature associated with the particular compute resource based on the identified subset of ports, and determining one or more applications of the enterprise network being executed by the particular compute resource based on the port signature associated with the particular compute resource and providing a report of the one or more applications of the enterprise network.

Abstract: A method comprising discovering workload attributes and identify dependencies, receiving utilization performance measurements including memory utilization measurements of at least a subset of workloads, grouping workloads based on the workload attributes, the dependencies, and the utilization performance measurements into affinity groups, determining at least one representative synthetic workload for each affinity group, each representative synthetic workload including a time slice of a predetermined period of time when there are maximum performance values for any number of utilization performance measurements among virtual machines of that particular affinity group, determining at least one cloud service provider (CSP)'s cloud services based on performance of the representative synthetic workloads, and generating a report for at least one of the representative synthetic workloads, the report identifying the at least one of the representative synthetic workloads and the at least one CSP's cloud services inclu

Abstract: A method comprises receiving a list of names of compute resources of an enterprise network, the names of compute resources including at least one name of a virtual machine and at least one name of a host, for each of the list of names: assessing a particular name of the list of names for removable data and removing the removable data to generate a feature for that particular name, for each feature, determining distances based on at least one metric for every other feature, grouping features based on distances, each feature being in only one group, recommending groups of compute resources based on groups of features, each feature of a group of features being associated with a different compute resource, the group of compute resources corresponding to a particular group of features, and providing a report of recommended groups.

Abstract: A method comprises receiving a list of names of compute resources of an enterprise network, the names of compute resources including at least one name of a virtual machine and at least one name of a host, for each of the list of names: assessing a particular name of the list of names for removable data and removing the removable data to generate a feature for that particular name, for each feature, determining distances based on at least one metric for every other feature, grouping features based on distances, each feature being in only one group, recommending groups of compute resources based on groups of features, each feature of a group of features being associated with a different compute resource, the group of compute resources corresponding to a particular group of features, and providing a report of recommended groups.

Abstract: A method comprising discovering workload attributes and identify dependencies, receiving utilization performance measurements including memory utilization measurements of at least a subset of workloads, grouping workloads based on the workload attributes, the dependencies, and the utilization performance measurements into affinity groups, determining at least one representative synthetic workload for each affinity group, each representative synthetic workload including a time slice of a predetermined period of time when there are maximum performance values for any number of utilization performance measurements among virtual machines of that particular affinity group, determining at least one cloud service provider (CSP)'s cloud services based on performance of the representative synthetic workloads, and generating a report for at least one of the representative synthetic workloads, the report identifying the at least one of the representative synthetic workloads and the at least one CSP's cloud services inclu

Abstract: A method comprising discovering workload attributes and identify dependencies, receiving utilization performance measurements including memory utilization measurements of at least a subset of workloads, grouping workloads based on the workload attributes, the dependencies, and the utilization performance measurements into affinity groups, determining at least one representative synthetic workload for each affinity group, each representative synthetic workload including a time slice of a predetermined period of time when there are maximum performance values for any number of utilization performance measurements among virtual machines of that particular affinity group, determining at least one cloud service provider (CSP)'s cloud services based on performance of the representative synthetic workloads, and generating a report for at least one of the representative synthetic workloads, the report identifying the at least one of the representative synthetic workloads and the at least one CSP's cloud services inclu

Abstract: A method comprises receiving a list of names of compute resources of an enterprise network, the names of compute resources including at least one name of a virtual machine and at least one name of a host, for each of the list of names: assessing a particular name of the list of names for removable data and removing the removable data to generate a feature for that particular name, for each feature, determining distances based on at least one metric for every other feature, grouping features based on distances, each feature being in only one group, recommending groups of compute resources based on groups of features, each feature of a group of features being associated with a different compute resource, the group of compute resources corresponding to a particular group of features, and providing a report of recommended groups.

Abstract: A method comprising discovering workload attributes and identify dependencies, receiving utilization performance measurements including memory utilization measurements of at least a subset of workloads, grouping workloads based on the workload attributes, the dependencies, and the utilization performance measurements into affinity groups, determining at least one representative synthetic workload for each affinity group, each representative synthetic workload including a time slice of a predetermined period of time when there are maximum performance values for any number of utilization performance measurements among virtual machines of that particular affinity group, determining at least one cloud service provider (CSP)'s cloud services based on performance of the representative synthetic workloads, and generating a report for at least one of the representative synthetic workloads, the report identifying the at least one of the representative synthetic workloads and the at least one CSP's cloud services inclu

Abstract: A method comprising discovering workload attributes and identify dependencies, receiving utilization performance measurements including memory utilization measurements of at least a subset of workloads, grouping workloads based on the workload attributes, the dependencies, and the utilization performance measurements into affinity groups, determining at least one representative synthetic workload for each affinity group, each representative synthetic workload including a time slice of a predetermined period of time when there are maximum performance values for any number of utilization performance measurements among virtual machines of that particular affinity group, determining at least one cloud service provider (CSP)'s cloud services based on performance of the representative synthetic workloads, and generating a report for at least one of the representative synthetic workloads, the report identifying the at least one of the representative synthetic workloads and the at least one CSP's cloud services inclu

Abstract: A method comprising discovering workload attributes and identify dependencies, receiving utilization performance measurements including memory utilization measurements of at least a subset of workloads, grouping workloads based on the workload attributes, the dependencies, and the utilization performance measurements into affinity groups, determining at least one representative synthetic workload for each affinity group, each representative synthetic workload including a time slice of a predetermined period of time when there are maximum performance values for any number of utilization performance measurements among virtual machines of that particular affinity group, determining at least one cloud service provider (CSP)'s cloud services based on performance of the representative synthetic workloads, and generating a report for at least one of the representative synthetic workloads, the report identifying the at least one of the representative synthetic workloads and the at least one CSP's cloud services inclu

Abstract: A method comprising discovering workload attributes and identify dependencies, receiving utilization performance measurements including memory utilization measurements of at least a subset of workloads, grouping workloads based on the workload attributes, the dependencies, and the utilization performance measurements into affinity groups, determining at least one representative synthetic workload for each affinity group, each representative synthetic workload including a time slice of a predetermined period of time when there are maximum performance values for any number of utilization performance measurements among virtual machines of that particular affinity group, determining at least one cloud service provider (CSP)'s cloud services based on performance of the representative synthetic workloads, and generating a report for at least one of the representative synthetic workloads, the report identifying the at least one of the representative synthetic workloads and the at least one CSP's cloud services inclu

Abstract: A method comprising discovering workload attributes and identify dependencies, receiving utilization performance measurements including memory utilization measurements of at least a subset of workloads, grouping workloads based on the workload attributes, the dependencies, and the utilization performance measurements into affinity groups, determining at least one representative synthetic workload for each affinity group, each representative synthetic workload including a time slice of a predetermined period of time when there are maximum performance values for any number of utilization performance measurements among virtual machines of that particular affinity group, determining at least one cloud service provider (CSP)'s cloud services based on performance of the representative synthetic workloads, and generating a report for at least one of the representative synthetic workloads, the report identifying the at least one of the representative synthetic workloads and the at least one CSP's cloud services inclu