International Business Machines Corporation

Lenovo (singapore) Pte. Ltd.

Kyndryl, Inc.

Thomas E Chefalas

Steven James Mastrianni

Clifford A Pickover

David Frederick Bantz

Alexei A Karve

Neeraj Asthana

Anca Sailer

Alla Segal

Chang-Shing Perng

Ignacio Silva-Lepe

Srikant Jalan

Frank Andre Schaffa

Tao Tao

Jim Alain Laredo

Rahul P Akolkar

Ajay Mohindra

Andrzej P Kochut

Daniel Leonard Hiebert

Arthur J Meyer, Iii

Dennis Duane Jurgensen

David M Egle

Charles C Tappert

David M Schultz

Peter A Singh

James R Kozloski

Maja Vukovic

Komminist S Weldemariam

James Randal Moulic

Dennis Gerard Shea

Leslie S Liu

Steve Mastrianni

Matthew X Staffelbach

Yexi Jiang

Yang Zhou

Peter W Gayek

Walter C Huber

Patrik Lehrner

Marco Porak

Mahesh Viswanathan

Ameya Tayade

Rick A Hamilton, Ii

James W Seaman

Naresh Nayar

Birgit Monika Pfitzmann

Hui Lei

Liangzhao Zeng

Sai Zeng

Florian Graf

Ramon Caceres

Kun Bai

Ravi Tejwani

Tetsunosuke Fujisaki

George W Doerre

Joonki Kim

David Fredrick Bantz

Robin C Arnold

David F Bantz

Techniques that facilitate orchestration engine blueprint aspects for hybrid cloud composition are provided. In one example, a system includes a blueprint component and a hybrid cloud composition component. The blueprint component determines one or more blueprint-level aspects for a blueprint associated with a cloud-based computing platform. The one or more blueprint-level aspects are indicative of encoded information for one or more features associated with one or more computing resources for the cloud-based computing platform. The hybrid cloud composition component determines a set of resource definitions for the cloud-based computing platform based on the one or more blueprint-level aspects.

Orchestration engine blueprint aspects for hybrid cloud composition

Techniques that facilitate orchestration engine resources and/or blueprint definitions for hybrid cloud composition are provided. In one example, a system includes a blueprint component and a blueprint transformation component. The blueprint component determines one or more abstract resource types for an abstract blueprint associated with a computing platform. The one or more abstract resource types are indicative of information associated with one or more computing resources for the computing platform. The blueprint transformation component transforms the one or more abstract resource types for the abstract blueprint into one or more executable resources for an executable blueprint that is executable by an orchestration engine.

Orchestration engine resources and blueprint definitions for hybrid cloud composition

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 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

Techniques that facilitate orchestration engine blueprint aspects for hybrid cloud composition are provided. In one example, a system includes a blueprint component, a hybrid cloud composition component, and a learning component. The blueprint component determines one or more blueprint-level aspects for a blueprint associated with a cloud-based computing platform. The one or more blueprint-level aspects are indicative of encoded information for one or more features associated with one or more computing resources for the cloud-based computing platform. The hybrid cloud composition component determines a set of resource definitions for the cloud-based computing platform based on the one or more blueprint-level aspects. The learning component monitors the cloud-based computing platform based on the one or more blueprint-level aspects to learn one or more features associated with the cloud-based computing platform.

One aspect includes a method for constructing a specified virtual solution, comprising: obtaining a solution profile from a solution repository catalog, wherein the solution profile identifies one or more resources for the specified virtual solution; acquiring the one or more resources identified by the solution profile from one or more devices; and assembling the acquired one or more resources in accordance with the solution profile to construct the specified virtual solution. Another aspect includes a method for providing a Resource-as-a-Service (RaaS) functionality in a cloud architecture, comprising: implementing a software defined infrastructure comprising distributed workload placement, location management, and data management; and implementing a RaaS layer comprising resource discovery and registration of capabilities.

Cloud enabling resources as a service

Techniques that facilitate orchestration engine blueprint aspects for hybrid cloud composition are provided. In one example, a system includes a learning component and a hybrid cloud composition component. The learning component learns one or more blueprint-level aspects associated with information for one or more computing resources of a cloud-based computing platform based on historical data associated with the cloud-based computing platform. The hybrid cloud composition component generates a set of resource definitions for the cloud-based computing platform based on the one or more blueprint-level aspects. The hybrid cloud composition component also modifies a blueprint associated with the cloud-based computing platform based on the set of resource definitions.

An embodiment of the invention provides a method for narrowing a user's web search based on the user's web browsing history, where a log of webpages downloaded by the user is generated. A search query is received in an interface; and, a processor connected to the interface filters results of the search query based on the log. The filtering of the results includes restricting results of the search query to only webpages that were downloaded by a user when the user was in a select emotional state, only webpages that were downloaded by the user when the user was located in a select geographic location, only webpages that were downloaded by the user from a select device, and/or only webpages that were downloaded by the user when at least one select application was running on a device that downloaded the webpages. The filtered results are displayed on a display connected to the processor.

Web search based on browsing history and emotional state

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 blueprint component that can, based on one or more dependencies between respective resource components of a cloud-based computing platform, declare a steady state action to be executed in response to a steady state event indicative of an event associated with steady state operation of a resource component of the cloud-based computing platform. The computer executable components can further comprise an orchestration engine component that can, based on the blueprint component, execute the steady state action in response to the steady state event.

Orchestration engine facilitating management of operation of resource components

A system and method to perform incremental adaptive modification of a virtual reality image involve obtaining sensor measurements from sensors coupled to an individual who is performing a task while viewing the virtual reality image. The method includes generating a true model of the individual from the sensor measurements, comparing the true model with an expert model obtained from another individual performing the task, and developing a lesson plan based on determining a difference between the true model and the expert model. The developing the lesson plan includes determining a gradient of intermediate models within the difference. A different one of the intermediate models is included iteratively along the gradient from the true model to the expert model in the virtual reality image.

Incremental adaptive modification of virtual reality image

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.

Automatic generation of blueprints for orchestration engines from discovered workload representations

Techniques that facilitate an orchestration engine using a blockchain for a cloud resource digital ledger are provided. In one example, a system includes an orchestration engine component and a blockchain component. The orchestration engine component manages one or more computing resources for a cloud-based computing platform. The blockchain component adds event data indicative of an event associated with the one or more computing resources into a blockchain dataset for the cloud-based computing platform. The blockchain dataset comprises a sequence of data blocks that corresponds to a sequence of events for the cloud-based computing platform.

Orchestration engine using a blockchain for a cloud resource digital ledger

A system for injecting and ejecting virtual connected buttons on an operating system (OS) interface includes one or more communications channels connecting a host to on-line product/service acquisition sites, information on a user's purchases from the acquisition sites, a virtual purchasing connected button (VPCB) for each product/service the user buys from an acquisition site that can be displayed on an interface of the OS of the host, and an online-purchasing system manager that triggers, based on that information, a deferring action of the display of the VPCB on the OS interface for one or more products.

System for intelligent injecting and ejecting of virtual connected buttons for OS interfaces

A system for managing cloud-based resources. The system includes a computer interface for receiving a computing resource. A computer including at least one central processing unit is configured to determine that the computing resource is abandoned and, upon determining the computer resource is abandoned, determine a disposition action for the computing resource.

Reuse of computing resources for cloud managed services

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Somers, NY, United States of America

Thomas E Chefalas