Abstract: The disclosure provides systems and methods for generating attendance census models using data received from a network of automated census sensors as well as various additional secondary data sources. The models may be generated and used in real time to provide attendance predictions, to efficiently allocate resources, and to detect fraud, among many other uses.

Abstract: The disclosure provides systems and methods for generating attendance census models using data received from a network of automated census sensors as well as various additional secondary data sources. The models may be generated and used in real time to provide attendance predictions, to efficiently allocate resources, and to detect fraud, among many other uses.

Abstract: The disclosure provides systems and methods for generating attendance census models using data received from a network of automated census sensors as well as various additional secondary data sources. The models may be generated and used in real time to provide attendance predictions, to efficiently allocate resources, and to detect fraud, among many other uses.

Abstract: During a process of migrating a source system into a standardized virtual environment, virtual machine instances of the source system executing in a hypervisor are snapshotted as virtual machine images in an operational repository of the hypervisor. The virtual machine images in the operational repository are short-term snapshots. From time to time during the migration process, long-term snapshots of the source system are created by checking given ones of the virtual machine images from the hypervisor operational repository into an image library as image objects.

Abstract: An arbitrary customer instance is transferred from a customer environment to a target managed-infrastructure-as-a-service cloud environment as a transferred image. An image adjustment plan, capturing at least one adjustment required to render the transferred image compliant with standards of the target managed-infrastructure-as-a-service cloud environment, is formulated. The image adjustment plan is executed to adjust the transferred image to obtain an adjusted image compliant with standards of the target managed-infrastructure-as-a-service cloud environment. The adjusted image is on-boarded into the managed-infrastructure-as-a-service cloud environment as a standard image thereof.

Abstract: A system and method are provided for implementing a credit-worthiness recommendation system based on social capital. Recommenders are nominated by a user of the system, and the recommenders are queried to provide quantified creditworthiness information about the user.

Abstract: An arbitrary customer instance is transferred from a customer environment to a target managed-infrastructure-as-a-service cloud environment as a transferred image. An image adjustment plan, capturing at least one adjustment required to render the transferred image compliant with standards of the target managed-infrastructure-as-a-service cloud environment, is formulated. The image adjustment plan is executed to adjust the transferred image to obtain an adjusted image compliant with standards of the target managed-infrastructure-as-a-service cloud environment. The adjusted image is on-boarded into the managed-infrastructure-as-a-service cloud environment as a standard image thereof.

Abstract: A method and system for discovering dependencies, configurations and utilizations among IT resources are disclosed. A discovery team writes a prediscovery script without requesting credentials and sends it to a system administrator (SA) who already has necessary credentials to execute the prediscovery script. Then, the SA reviews the prediscovery script and executes the prediscovery script on a target server. While or after executing the prediscovery script, the target server generates a result of an execution of the prediscovery script and provides the result to an analysis system. The analysis system analyzes and parses the result and generates a user-friendly data (e.g., graph or spreadsheet) that represents the result. Then, the analysis system provides the user-friendly data to the discovery team. The analysis system does not require credentials and does not directly communicate with the target server except receiving the result of the executed prediscovery script from the target server.

Abstract: The disclosure provides systems and methods for generating attendance census models using data received from a network of automated census sensors as well as various additional secondary data sources. The models may be generated and used in real time to provide attendance predictions, to efficiently allocate resources, and to detect fraud, among many other uses.

Abstract: An arbitrary customer instance is transferred from a customer environment to a target managed-infrastructure-as-a-service cloud environment as a transferred image. An image adjustment plan, capturing at least one adjustment required to render the transferred image compliant with standards of the target managed-infrastructure-as-a-service cloud environment, is formulated. The image adjustment plan is executed to adjust the transferred image to obtain an adjusted image compliant with standards of the target managed-infrastructure-as-a-service cloud environment. The adjusted image is on-boarded into the managed-infrastructure-as-a-service cloud environment as a standard image thereof.

Abstract: During a process of migrating a source system into a standardized virtual environment, virtual machine instances of the source system executing in a hypervisor are snapshotted as virtual machine images in an operational repository of the hypervisor. The virtual machine images in the operational repository are short-term snapshots. From time to time during the migration process, long-term snapshots of the source system are created by checking given ones of the virtual machine images from the hypervisor operational repository into an image library as image objects.

Abstract: A foreign instance is transferred from a customer environment to a target infrastructure-as-a-service cloud environment as an image. The foreign instance is adjusted to standards of the infrastructure-as-a-service cloud environment to obtain an adjusted instance. The adjusted instance is registered into a management system of the infrastructure-as-a-service cloud environment.

Abstract: During a process of migrating a source system into a standardized virtual environment, virtual machine instances of the source system executing in a hypervisor are snapshotted as virtual machine images in an operational repository of the hypervisor. The virtual machine images in the operational repository are short-term snapshots. From time to time during the migration process, long-term snapshots of the source system are created by checking given ones of the virtual machine images from the hypervisor operational repository into an image library as image objects.

Abstract: Techniques, systems, and articles of manufacture for automatically propagating updates in a data center. A method includes dividing multiple virtual machines in a data center into one or more equivalence classes, wherein each equivalence class is based on a signature corresponding to an offline, online and/or manual update, automatically creating an offline and/or online virtual machine manifest for a first virtual machine of the multiple virtual machines based on one or more file system changes during the offline, online and/or manual update for the first virtual machine, wherein said manifest is applicable to each additional virtual machine in the same equivalence class as the first virtual machine, and applying the offline and/or online virtual machine manifest for the first virtual machine to the remaining multiple virtual machines in the same equivalence class to automatically update the remaining multiple virtual machines in the same equivalence class.

Abstract: During a process of migrating a source system into a standardized virtual environment, virtual machine instances of the source system executing in a hypervisor are snapshotted as virtual machine images in an operational repository of the hypervisor. The virtual machine images in the operational repository are short-term snapshots. From time to time during the migration process, long-term snapshots of the source system are created by checking given ones of the virtual machine images from the hypervisor operational repository into an image library as image objects.

Abstract: Techniques, systems, and articles of manufacture for automated application reconfiguration. A method includes identifying, for each of one or more configuration files in a pre-configured source virtual machine, a corresponding configuration file in a target virtual machine, identifying one or more mis-configured and/or missing points of variability in the one or more identified configuration files in the target virtual machine based on information derived from the one or more configuration files in the source virtual machine, and reconfiguring the target virtual machine by replacing each identified mis-configured point of variability with a given value based on the information derived from the one or more configuration files in the source virtual machine, and adding each identified missing point of variability at a given location with a given value and a given format based on the information derived from the one or more configuration files in the source virtual machine.

Abstract: During a process of migrating a source system into a standardized virtual environment, virtual machine instances of the source system executing in a hypervisor are snapshotted as virtual machine images in an operational repository of the hypervisor. The virtual machine images in the operational repository are short-term snapshots. From time to time during the migration process, long-term snapshots of the source system are created by checking given ones of the virtual machine images from the hypervisor operational repository into an image library as image objects.

Abstract: Data characterizing a source computing environment having at least one hardware resource and at least one workload is obtained, as is a specification of a target computing environment to which the at least one workload is to be migrated in a migration. Based on the data characterizing the source computing environment and the specification of the target computing environment, the migration is categorized into one of a plurality of categories; and the migration is specified in accordance with a migration technique selected based on the categorizing step. Techniques to identify suitable migration candidates are also provided.

Abstract: The present invention describes a method and system for preparing a migration and consolidation of at least one source application to be migrated to or consolidated in at least one heterogeneous server device. A computing system selects at least one prospective target platform component based on an evaluation of at least one source platform component, a requirement of the at least one source application, and a compatibility and an affinity of the at least one prospective target platform component. The computing system collects first metadata of the at least one source platform component and the at least one prospective target platform component. The computing system collects second metadata associated with the migration and consolidation. The computing system groups the first metadata and the second metadata into a RFM (Request For Migration). The computing system prepares and configures a final target platform in accordance with the RFM.

Abstract: Techniques, systems, and articles of manufacture for automated application reconfiguration. A method includes identifying, for each of one or more configuration files in a pre-configured source virtual machine, a corresponding configuration file in a target virtual machine, identifying one or more mis-configured and/or missing points of variability in the one or more identified configuration files in the target virtual machine based on information derived from the one or more configuration files in the source virtual machine, and reconfiguring the target virtual machine by replacing each identified mis-configured point of variability with a given value based on the information derived from the one or more configuration files in the source virtual machine, and adding each identified missing point of variability at a given location with a given value and a given format based on the information derived from the one or more configuration files in the source virtual machine.