International Business Machines Corporation

Jing Bo Jiang

Li Jiang

Li Ni Zhang

Li Long Chen

Lan Luo

Wen Rui Zhao

Yu Xin Zhao

Yang Wang

Yi Ming Wang

Yang Liu

Rui Wang

Xue Ying Zhang

Yu Zhao

Li Li Gu

Liang Liang Dai

Zheng Jie

Rui W W Wang

Chun Qing W Wu

In an approach for proactive service group based auto-scaling, a processor collects usage data generated in one or more services in a container platform. A processor predicts access situation and resource utilization of the one or more services based on the usage data. A processor constructs a dynamic correlation topology among the one or more services based on the access situation and resource utilization. A processor identifies associated services correlated with the one or more services based on the dynamic correlation topology. A processor, in response to a service request exceeding a pre-set threshold, expands the one or more services and associated services.

Proactive auto-scaling

A method, computer program product, and system include a processor(s) generates a representation of microservice communications within a network. The processor(s) updates the representation, based on monitoring deployments of microservices within the network. The processor(s) identifies individual service clusters within the network. The processor(s) selects each cluster from the identified service clusters, and for each cluster, evaluates whether to recommend mergers of a portion of the microservices deployed to each cluster. The processor(s) recommends at least one merger for a given cluster of the identified services clusters. Based on the recommending, the processor(s) generates a what-if analysis for the at least one merger.

Microservice measurement and merging

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

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, systems, and computer program products for enhancing a plurality of electronic communication systems for a plurality of users include, for example, providing data regarding at least one project, and linking the data regarding the at least one project with the plurality of electronic communication systems regarding the plurality of electronic communications for the plurality of users.

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Beijing, China

Jing Bo Jiang