International Business Machines Corporation

Kyndryl, Inc.

Jian Dong Yin

Wen Jie Wang

Rong Fu

Hao Sheng

Kang Ed Zhang

Zhuo Jp Cai

Li Long Chen

Lan Luo

Jian Zhang

Chuan Qing Yu

Li Jun Xia

Li Xia

Pan Li

Jin Zhang

Yang Wang

Pei Jian Liu

Ann Corrao

He Li

Wen Rui Zhao

Jun Feng Yuan

Yi Ming Wang

Yao Li

Zi Jian Ji

Ting Cao

Mei Rui Su

Yan Du

Guang Qing Zhong

Han Ying Song

Yi Zhang

Xu Hui Bai

Jun Li Zhao

Ye Yu

Xu Teddy

Xu Lei X L Zhou

Ping G P Cao

Kang Zhang

Embodiments relate to dynamic horizontal autoscaling for a multi-tenant service. According to an aspect, a computer-implemented method includes configuring a network computing element to route a plurality of requests from two or more clients to a service in a containerized-networked system. A horizontal service-level autoscaler monitors one or more aspects of the requests to the service from the two or more clients. A new pod including a set of running containers with shared resources in the containerized-networked system is created based at least in part on the horizontal service-level autoscaler determining that at least one of the one or more aspects of the requests exceeds a threshold. A new service mapping is created to accept subsequent requests from one of the two or more clients that triggered creation of the new pod.

Dynamic horizontal autoscaling for multi-tenant service

A system may include a memory and a processor in communication with the memory. The processor may be configured to perform operations. The operations may include calculating a priority factor with a node autonomous center in a node and computing a node service capability with the node autonomous center. The operations may further include selecting, with the node autonomous center, a task based on the priority factor and the node service capability. The operations may further include directing the task to the node.

Distributed system workload management via node autonomy

In an approach to improve workload orchestration in a multi-cloud environment, embodiments orchestrate and manage a workload in a decentralized multi-cloud environment using one or more smart contracts. Additionally, embodiments measure, by a competency measurement component, competency of cloud services based on one or more predefined cloud benchmarks, a consensus network, and the one or more smart contracts, and generate an orchestration plan that is a best fit for the workload. Furthermore, embodiments validate and update, by the consensus network and the one or more smart contracts, the generated orchestration plan, and executing the generated orchestration plan.

Workload orchestration in a multi-cloud environment

Hook

A processor may automatically generate one or more transcripts based on a media context. The processor may append at least one of the one or more transcripts to the media. The processor may modify the at least one of the one or more transcripts based on an adjustment to a weight factor.

Automatic appending of subtitles based on media context

Methods and systems for metering computing resources in cloud computing environments are disclosed. A method includes: executing, by a computing device, computing tasks on computing resources; determining, by the computing device, an amount of time and an amount of power used in the executing the computing tasks on the computing resources; determining, by the computing device, a number of standard units consumed by the computing tasks based on the determined amount of time and the determined amount of power; and metering, by the computing device, the computing resources based on the determined number of standard units consumed by the computing tasks.

Metering computing resources in cloud computing environments

Managing an image storage space is provided. A number of processor units identifies a benchmark image in a similar images group. A number of other images not identified in the similar images group as the benchmark image is a set of similar images. The number of processor units creates an image mapping tree. The image mapping tree has a root block for the benchmark image and blocks arranged in a set of layers below the root block based on the set of similar images; the blocks represent portions of the benchmark image; and a plurality of lower blocks in the blocks in a lower layer correspond to subdivisions in an upper block in the blocks in an upper layer. The number of processor units stores a set of selected blocks in the set of similar images that have differences from a set of corresponding blocks in image mapping tree for the benchmark image. The number of processor units store metadata for the set of selected blocks that describes set of paths in the image mapping tree from the set of corresponding blocks in the image mapping tree to the root block.

Image storage system for images with duplicate parts

A method and system for controlling elevator dispatch is provided. User data, including user behavior, is collected from a number of users over a specified time period. Elevator use data for a number of elevators in a building is also collected over the specified time period. Applying the user data and elevator use data, an elevator dispatch model is constructed that predicts future elevator use according to predicted user needs. An elevator control system dispatches the elevators according to the dispatch model. The elevator dispatch model is refined according to feedback data collected from users over a subsequent time period.

End-to-end cognitive elevator dispatching system

A video is received. One or more subtitles are determined for the video. Whether a word found in a background of the video is similar to a word found in the one or more subtitles is determined. Responsive to determining the word found in the background of the video is similar to the word found in the one or more subtitles, one or more updated subtitles are generated. The one or more updated subtitles include the word found in the background of the video and remove the word found in the one or more subtitles that is similar. A metric for the one or more updated subtitles is calculated. Whether the metric is larger than a threshold is determined. Responsive to determining the metric is larger than the threshold, the video is updated to include the one or more updated subtitles.

Subtitle generation using background information

Aspects of the present disclosure relate to processing irregularly arranged characters. An image is received. An irregularly arranged character within the image is detected. A direction of the irregularly arranged character is modified to a proper direction to obtain a properly oriented character. The properly oriented character is recognized to obtain a first identified character. The image is then rebuilt by replacing the irregularly arranged character with the first identified character, the first identified character in a machine-encoded format.

Processing irregularly arranged characters

Embodiments of the present disclosure relate to requirement-based resource sharing in a computing environment. In an embodiment, a computer-implemented method is disclosed. According to the method, it is determined whether a plurality of services to be provisioned in a computing environment match with each other in resource consumption based on respective resource requirements of the plurality of services. In response to determining that the plurality of services match with each other, a resource pool is allocated in the computing environment to be shared by the plurality of services. The resource pool has a resource quota determined based on at least one of the resource requirements. The plurality of services is caused to be provisioned in the computing environment using the resource pool. In other embodiments, a computer system and a computer program product are disclosed.

Requirement-based resource sharing in computing environment

Embodiments of the invention are directed to a computer-implemented method that includes determining, by a controller of a messaging system, a cognitive context of a message sender. The method also includes configuring at least one property of a message based on the determined cognitive context. The message is transmitted by the message sender to a first receiver. The method also includes transmitting the message to a second receiver based on the at least one configured property.

Transmission of a message based on a determined cognitive context

Generating a query result utilizing a knowledge graph in an artificial intelligence chatbot is provided. Characteristics of a query are identified. The characteristics of the query are mapped to base elements of the knowledge graph in the artificial intelligence chatbot. A set of query paths are generated in the knowledge graph based on the mapping of the characteristics of the query to the base elements of the knowledge graph. One or more query paths in the set of query paths in the knowledge graph are validated based on a respective score of each query path. A query result corresponding to the query is generated based on the validated one or more query paths in the knowledge graph.

Knowledge graph-based query in artificial intelligence chatbot with base query element detection and graph path generation

Disclosed embodiments provide techniques for computerized technical support. A knowledge graph for a computer application is established. An input query from a user is processed to extract entities used as action identifiers. One or more nodes within the knowledge graph are identified, along with corresponding relationship edges leading to the nodes. When multiple candidate nodes are found that contain information relevant to the input query, a custom clarification statement is created based on the one or more identified relationship edges. The user provides answers to the clarification statement to narrow down which nodes contain the most relevant information. This process may continue, eliminating nodes based on user responses, until a single node remains, corresponding to an action identifier. The action identifier includes action description information that provides technical assistance to a user.

Dynamic workflow with knowledge graphs

Resource sharing is provided. Cryptographic key, resource, and payment information is exchanged between a respective other resource provider having a best matching smart contract response and a particular resource provider selling unused resources. The exchanged cryptographic key, resource, and payment information is verified. The unused resources of the particular resource provider are isolated for dedicated use by the respective other resource provider having the best matching smart contract response. A transaction is performed by sharing the unused resources of the particular resource provider with the respective other resource provider having the best matching smart contract response according to smart contract terms.

Growing community of inventors

Beijing, China

Jian Dong Yin