International Business Machines Corporation

Kyndryl, Inc.

Matthew X Staffelbach

Alexei A Karve

Thomas E Chefalas

Sai Zeng

Neeraj Asthana

Alla Segal

Manish Mahesh Modh

Emrah Zarifoglu

Braulio Gabriel Dumba

Ameya Tayade

Umar Mohamed Iyoob

Liang Liu

Jun Duan

Ramesh S Palakodeti

A machine learning assessment system is provided. The system identifies multiple datasets and multiple machine learning (ML) modeling algorithms based on the client profile. The system assesses a cost of data collection for each dataset of the multiple datasets. The system assesses a performance metric for each ML modeling algorithm of the multiple modeling algorithms. The system recommends a dataset from the multiple datasets and an ML modeling algorithm from the multiple ML modeling algorithm based on the assessed costs of data collection for the multiple datasets and the assessed performance metrics for the multiple ML modeling algorithms.

Efficiency driven data collection and machine learning modeling recommendation

A system, computer program product, and method to deriving a cost model and dynamic adjustment of the derived model responsive to dynamic modification of one or more of the resources in a hybrid shared resource environment. Resources and corresponding configuration information are collected while monitoring runtime utilization of resource performance. As changes to the resources are discovered, the changes are subject to an assessment. A hybrid cost model is derived and configured to account for the one or more resources. The derived hybrid cost model is leveraged to conduct a multi-dimensional resource evaluation of the assessed changed configuration information. Responsive to the multi-dimensional evaluation, a generated resource utilization optimization of the one or more resources is selectively implemented.

Resource and asset lifecycle costing

Systems, computer-implemented methods, and computer program products that facilitate orchestration engine components for a cloud computing environment are provided. According to an embodiment, a system can comprise a memory that stores computer executable components and a processor that executes the computer executable components stored in the memory. The computer executable components can comprise a ranking component that can rank respective connection components based on one or more attributes of the respective connection components. The computer executable components can further comprise a selection component that can select a connection component based on rank. The computer executable components can also comprise an orchestration engine component that can, based on the selected connection component, operatively couple a provisioning component to a computing resource component t of a cloud-based computing platform.

Orchestration engine facilitating management of dynamic connection components

A system, computer program product, and method are provided for dynamically orchestrating a prerequisite driven codified infrastructure. A prerequisite defines deployment of one or more resources in the codified infrastructure through the use of a codified logic expression. One or more probes are created and leveraged to monitor a dynamic resource state for one or more prerequisites. A new codified infrastructure is generated based on the change(s) to the monitored dynamic resource state for the one or more prerequisites. The identified one or more changes are applied to the new codified infrastructure and the new codified infrastructure is executed based on the applied change(s).

Prerequisite driven dynamic infrastructure orchestration

A system, computer program product, and method are provided to automate management of a computer architecture as represented in a codified infrastructure with one or more embedded dynamically labeled resources. The codified infrastructure is subject to interpretation within the context of the dynamically labeled resources. The dynamic labels are converted to static labels, after which the corresponding architecture is deployed. The deployment architecture continues to be updated when the meaning of the dynamic labels change.

Dynamic infrastructure management and processing

An aspect includes the automatic generation of blueprints for orchestration engines from discovered workload representations. A computer-implemented method includes receiving, using a processor, a description of a workload executing in a source computing environment. The description of the workload is mapped, using the processor, to one or more resource descriptors located in a repository of resource descriptors describing resources available in a target computing environment. A declarative representation of the workload in the target computing environment is generated, using the processor, based at least in part on the mapping and the description of the workload. The declarative representation includes a specification of resources required by the workload in the target environment.

Growing community of inventors

White Plains, NY, United States of America

Matthew X Staffelbach