Abstract:
Methods and systems for evaluating compatibility of a cloud of computers to perform one or more workload tasks. One or more computing solution aspects are determined that corresponding to one or more sets of workload factors, where the workload factors characterize one or more workloads, to characterize one or more computing solutions. The workload factors are compared to the computing solution aspects in a rule-based system to exclude computing solutions that cannot satisfy the workload factors. A computing solution is selected that has aspects that accommodate all of the workload factors to find a solution that accommodates the one or more individual workloads.
Abstract:
Examples of techniques for jointly managing a cloud and non-cloud environment are disclosed. In one example implementation according to aspects of the present disclosure, a method includes: receiving a request to be executed on one of a cloud resource and a non-cloud resource using one of cloud orchestration and non-cloud orchestration, the request comprising a plurality of tasks; scheduling the first task for execution on the cloud resource by a cloud orchestration device using a joint cloud and non-cloud management device; scheduling the second task for execution on the non-cloud resource by a non-cloud orchestration device using a non-cloud management device; and scheduling the third task for execution on the non-cloud resource by the non-cloud orchestration device using the joint cloud and non-cloud management device.
Abstract:
Methods and systems for finding a migration target include building a constrained, layered graph from a catalog of possible configuration combinations and a distance function for each layer in the graph; and determining an available path through the graph, said path having a minimum overall distance from a source instance, by performing an optimized search that selectively evaluates available paths through the graph based on cumulative distances of paths through the graph from the source instance.
Abstract:
Methods and systems for finding a migration target include building a constrained, layered graph from a catalog of possible configuration combinations and a distance function for each layer in the graph; and determining an available path through the graph, said path having a minimum overall distance from a source instance, by performing an optimized search that selectively evaluates available paths through the graph based on cumulative distances of paths through the graph from the source instance.
Abstract:
In one approach, one or more computer processors provision an instance in a cloud computing environment, wherein the instance includes one or more local disks. The one or more computer processors boot the instance from a boot image such that an operating system exists in a main memory of the instance. The one or more computer processors copy an image file to the one or more local disks of the instance, where copying the image file overwrites the one or more local disks. The one or more computer processors reboot the instance.
Abstract:
Evaluating project schedules on a computer system. One or more tasks are identified and corresponding set of deterministic task durations are determined. An initial schedule for completing the tasks is generated based on the deterministic task durations and based on one or more resources. A set of probabilistic durations for the tasks are determined and execution of the tasks is simulated according to the initial schedule based on the set of probabilistic durations.
Abstract:
An image version of a source instance is prepared and is transferred to a destination environment. Two or more copies of the transferred image version of the source instance are created at the destination environment. The first copy of the transferred image version of the source instance is adjusted while the source instance is in use. The second copy of the transferred image version of the source instance is resynchronized with one or more changes made to the source instance. The adjustments made to the first copy of the source instance are applied to the resynchronized second copy of the source instance.
Abstract:
A method is presented for error correction of tabular data in document conversion. The method includes identifying errors from tabular data transformation by employing an error/invalidation checking module and correcting the identified errors from the tabular data transformation by employing an error correction module. The error correction module includes identifying a main structure pattern from common row structures, concatenating separate keywords according to natural language processing models employing training data obtained from a plurality of candidate tabular data, adjusting cells in the tabular data based on a domain-specific knowledge database including the training data in combination with linguistic and semantic knowledge, merging partial tabular data pieces, and generating an adjusted table as output on a display of a computing device.
Abstract:
A method is presented for error correction of tabular data in document conversion. The method includes identifying errors from tabular data transformation by employing an error/invalidation checking module and correcting the identified errors from the tabular data transformation by employing an error correction module. The error correction module includes identifying a main structure pattern from common row structures, concatenating separate keywords according to natural language processing models employing training data obtained from a plurality of candidate tabular data, adjusting cells in the tabular data based on a domain-specific knowledge database including the training data in combination with linguistic and semantic knowledge, merging partial tabular data pieces, and generating an adjusted table as output on a display of a computing device.
Abstract:
Examples of techniques for jointly managing a cloud and non-cloud environment are disclosed. In one example implementation according to aspects of the present disclosure, a method includes: receiving a request to be executed on one of a cloud resource and a non-cloud resource using one of cloud orchestration and non-cloud orchestration, the request comprising a plurality of tasks; scheduling the first task for execution on the cloud resource by a cloud orchestration device using a joint cloud and non-cloud management device; scheduling the second task for execution on the non-cloud resource by a non-cloud orchestration device using a non-cloud management device; and scheduling the third task for execution on the non-cloud resource by the non-cloud orchestration device using the joint cloud and non-cloud management device.