International Business Machines Corporation

Beijing Baidu Netcom Science and Technology Co., Ltd.

Kyndryl, Inc.

Wen Rui Zhao

Li Long Chen

Lan Luo

Li Ni Zhang

Li Jiang

Jing Bo Jiang

Yu Xin Zhao

Yue Wang

Yu Zhao

Xu Hui Bai

Min Xiang

Jian Zhang

Jian Dong Yin

Li Jun Xia

De Shuo Kong

Ping Yang

David D Weck

Mirza S Baig

Bo Guo

Li Na Yuan

Yuan Bin Teng

Ariel Jirau

Yunqi Hong

Chun Qing W Wu

Liu Xiaojin

Executing serverless application functions is provided. A response to a user request for a service is received with an include callback parameter and a transaction identifier of the user request included in a header of the response from an external service via a network. A checkpoint of a container corresponding to the service is retrieved from a data store using the transaction identifier of the user request. The container corresponding to the service is restored using the checkpoint to process the response received from the external service.

Serverless application function execution

Managing security access in real-time to a computer system using control lists includes detecting a security event at a computer system. The security event is analyzed including an analysis of a historical corpus having historical data of security events. An access control list is generated based on the security event. A determination is made when the security event includes abnormal behavior based on the analysis of the security event and the historical corpus. The security event is published to a monitoring system for controlling access to the computer system, in response to the security event.

Data access control management computer system for event driven dynamic security

Techniques are described for linked blockchains that allow computing devices to access information from an acceptance blockchain about acceptance reports stored in an enterprise delivery blockchain that are also linked to a product blockchain that stores information of the products of the acceptance reports. An acceptance report is indicative of operability of a product in a service provided by a service provider. A processor is configured to access the block in the enterprise delivery blockchain, retrieve the acceptance report from the block in the enterprise delivery blockchain, determine an identifier, identified in the block in the enterprise delivery blockchain, to a block in an acceptance blockchain, access the block in the acceptance blockchain via the determined identifier, retrieve from the block in the acceptance blockchain contextual information of the acceptance report, and output the acceptance report and contextual information of the acceptance report.

Linked blockchain structures for accelerated multi-chain verification

Managing network interactions by engaging a networked information broadcast service, receiving information from the networked information broadcast service, filtering the information according to a profile, and sending information according to the filtered information using another network communications connection.

Smart edge network management

A computer-implemented method, computer system, and computer program product for blockchain enabled service reservation and delegation. The present invention may include receiving one or more first or second trigger conditions defined by a user, detecting an occurrence of the one or more first trigger conditions, deploying a smart contract based on the received one or more first trigger condition, detecting an occurrence of the one or more second trigger conditions, and deactivating the smart contract based on the received one or more second trigger conditions. The present invention may include receiving a subject registration, the subject is the user, a service, or a device. The one or more first trigger conditions may be a condition that upon its occurrence may initiate the deployment of the smart contract. The one or more second trigger conditions may be a condition that upon its occurrence may initiate the deactivation of the smart contract.

Blockchain based service reservation and delegation

Methods and systems for selecting a tool for a project is described. In an example, a processor can run a machine learning model to generate a set of requirements to implement a project. The processor can identify a keyword from the set of requirements. The processor can search for the keyword on a search engine. The processor can receive a search result from the search engine corresponding to the keyword. The processor can identify, based on the search result, a tool that can be used to implement the project, where the tool can be in compliance with the set of requirements.

Machine learning for technical tool selection

In an approach to blockchain management of cloud service provisioning failures, one or more computer processors capture one or more application programming interface (API) calls associated with a service provision. One or more computer processors submit the captured one or more API calls to a blockchain ledger. One or more computer processors detect a system failure during the service provision. One or more computer processors extract the submitted one or more API calls from the blockchain ledger. Based on the extracted one or more API calls, one or more computer processors identify a problematic system associated with the system failure.

Blockchain management of provisioning failures

A method for data configuration is provided. The method comprises parsing a first cascading configuration associated with a data source and selecting content of the first cascading configuration to migrate to a data target. The selected content of the first cascading configuration is then migrated to a second cascading configuration, and the second cascading configuration is applied to the data target.

Cascading data configuration and data migration

Embodiments of the present invention provide methods, computer program products, and systems to for dynamically modifying a generated route that enables peer to peer navigation. Embodiments of the present invention can be used to receive input that specifies one or more terms pertaining to a target that is a location of interest from a user. Embodiments of the present invention can pair the user with the target of interest; generating a route to the target and dynamically modify the generated route to the target according to positional information of the location and changes in positional information of the user.

Peer to peer route guidance

A method and apparatus for storing data are provided. A specific implementation of the method for storing data includes: receiving a storage request including to-be-stored data; acquiring, for a to-be-written node in a to-be-written node group, a memory performance information set corresponding to at least one memory included in the to-be-written node, and generating a weight value of the to-be-written node based on the acquired memory performance information set; determining, based on a generated weight value set, a target to-be-written node from the to-be-written node group; and storing the to-be-stored data to the target to-be-written node.

Method and apparatus for storing data

In an approach to intelligent scaling in a cloud platform, an attribute template is stored for one or more target services based on one or more system data. One or more request metrics for each target service is stored, wherein the request metrics are based on an analysis of one or more incoming requests of one or more service call chains. Responsive to receiving a request for a target service in a service call chain, the target service is scaled based on the attribute template of the target service and the request metrics of the target service.

Intelligent scaling in microservice-based distributed systems

An approach is provided for generating a scaling plan. Plans for onboarding first tenant(s) a cloud computing environment and offboarding second tenant(s) of the cloud computing environment are received. Historical data about behavior of tenants of the cloud computing environment is received. Based on the received plans and the historical data, a scaling plan for scaling computer resources of external systems during the onboarding and the offboarding is generated. The scaling plan specifies a timeline indicating dates and times at which changes in workloads associated with the external systems are required for the onboarding and the offboarding. Based on the scaling plan, a scaling is determined to be needed for computer resource(s) of one of the external systems. Responsive to determining that the scaling is needed, the scaling for the computer resource(s) is triggered at a date and a time indicated by the timeline.

Generating a scaling plan for external systems during cloud tenant onboarding/offboarding

Approaches presented herein enable generation of a multi-dimensional tag metric in a cloud resource management environment. More specifically, a tagging namespace is provided for managing a resource in the cloud resource management environment. This namespace comprises at least two dimensions and a plurality of positions. A set of tags associated with the resource are received into the tagging namespace. A match of each tag of the set of tags to a position within the namespace into which that tag was received is verified and an alert is triggered in the case verification fails. Alternatively, in the case verification is successful, the tag-containing namespace is validated as a multi-dimensional tag metric.

Multi-dimensional tagging namespace for cloud resource management

Methods, computer program products, and systems are presented. The method computer program products, and systems can include, for instance: obtaining, by a container host node, container image configuration data that defines a specified container image configuration, wherein the container host node includes an associated container image repository for storing container images; multicasting, by the container host node, a request for one or more image of first through Nth specified container images to a set of container host nodes; receiving, by the container host node, at least one container image from at least one container host node of the set of container host nodes in response to the multicasting; building, by the container host node, a specified container image according to the specified container image configuration using the at least one container image received by the receiving; and running, by the container host node, the specified container image built by the building to define a runtime container.

Distributed container image repository service

Example embodiments of the present disclosure provide methods, devices, and computer programs for virtual machine image conversion. A delta file system between a file system of a first virtual machine (VM) image and a file system of a first operating system (OS) base image is determined. A file system of a first container base image may be obtained according to the first OS base image. Then, the delta file system may be applied to the file system of the first container base image to create a container image.

Growing community of inventors

Beijing, China

Wen Rui Zhao