Sap Se

Xi'an Taijin New Energy & Materials Sci-tech Co., Ltd.

Le Zhang

Yu Wang

Long Du

Moritz Semler

Haoxing Hou

Daping Wang

Bo Yang

Zuosui Wu

Dong Miao

Xiuling He

Chu Shen

Xiaodan Yuan

Qing Feng

Jun Zhang

Kai Mueller

Siqi Wang

Yu Yang

Yaohui Li

Methods, systems, and computer-readable storage media for receiving, by a cross-process scheduling engine executed within a cloud platform, work scenario metadata and sensitivity metadata, generating, by the cross-process scheduling engine, a lineage graph representing relationships between one or more of data and processes to be executed for a work scenario represented by the work scenario metadata, defining, by the cross-process scheduling engine, a set of tile segments for the work scenario based on the lineage graph and the sensitivity metadata, dispatching, by the cross-process scheduling engine, a first sub-set of tile segments for execution in a private deployment including one or more private nodes, and dispatching, by the cross-process scheduling engine, a second sub-set of tile segments for execution in a public deployment including one or more public nodes.

Cross-process dispatch service in hybrid cloud scenarios

Disclosed is a framework for providing microservices for database with embedded container service in a container cloud platform. The framework includes a container cloud manager for performing distributed management of resources in a data center. The container cloud manager includes an orchestrator with a flexible job scheduler and operator pool. The flexible job scheduler and container cloud master form a flexible job management platform for managing jobs of the data center. The flexible job management framework can isolate various types of jobs as well as mix various jobs for efficient usage of hosts or resources in the data center. The operator pool includes optional components of a database. The orchestrator facilitates quick customization and release of database products, such as a HANA database with optional services, as requested by a user in the container cloud platform.

Embedded database as a microservice for distributed container cloud platform

Methods, systems, and computer-readable storage media for receiving, by a service stack recovery engine, an error message indicating a failed service in a plurality of services executed in a cloud platform, determining, by the service stack recovery engine, a set of services for recovery in response to the error message, and, for each service in the set of services, identifying, by the service stack recovery engine, an error handler that is associated with a service recovery type in a set of service recovery types, the error handler including a set of error handling operations to be executed to recover the failed service, and transmitting, by the service stack recovery engine, the error handler to a service recovery agent associated with the respective service, the service recovery agent executing error handling operations of the error handler to recover the service.

Service stack recovery in cloud platforms

Methods, systems, and computer-readable storage media for receiving, by an operation guard system executed within a cloud platform, session information representative of a session of a user within the cloud platform, the session information including user information and operation information, determining, by the operation guard system, that the user is signed into a technical group for execution of an operation represented in the operation information, and in response, providing, by the operation guard system, a risk score associated with the operation, and determining, by the operation guard system and at least partially based on the risk score, that the operation is a risk-oriented operation based on the risk score, and in response, preventing execution of the operation and transmitting an alert.

Intelligent trackable operation guard service in cloud platforms

Various examples are directed to systems and methods for operating a database management system (DBMS) in a cloud environment. An assembly worker executing at a first computing device may provide a first database protocol message generated by a process code executing at the first computing device. A translation engine executed at the cloud environment may translate the first database protocol message from a first format to a second format associated with a DBMS instance executing at the cloud environment to generate a translated first database protocol message. The translation engine may cause the translated first database protocol message to be provided to the DBMS instance and may receive, from the DBMS instance, a first reply corresponding to the translated first database protocol message. The first reply may be sent to the process code.

Cloud migration for legacy on-premises process code

In an example embodiment, a solution is used to provide for multiple and concurrent web application accessing of a database in a database-as-a-service (DBaaS) framework. More particularly, a cloud solution is provided on a DBaaS for leveraging Docker network functionality to provide a virtual Internet Protocol (IP) address pool, while utilizing in-memory database technology to set up an entire accessing solution for multiple and concurrent DBaaS users and web applications, which serve the data-intensive jobs to the in-memory database. This allows for improved functionality, performance, concurrency, and handling of network stress.

Elastic in-memory database provisioning on database-as-a-service

A method of tenant user management in cloud database operation can be implemented. The method can receive an original job request from a user for a database service, wherein the original job request can include a login credential of the user. The method can authenticate the login credential of the user by a scheduler, verify the user has privileges for the original job request by the scheduler, create a modified job request from the original job request by the scheduler based on a predefined role corresponding to the privileges of the user, send the modified job request from the scheduler to a database service platform, and allocate an instance of database service to the user in response to the modified job request.

Tenant user management in cloud database operation

A large-width cathode roller for producing high-strength ultra-thin copper foil includes titanium side plates and a titanium cylinder sealed by the titanium side plates, and a cathode roller core penetrated through the titanium side plates. Steel-copper explosive clad cylinders and a steel support plate are disposed in/on the side plate, inner ring surfaces of the side plates and the copper plates are connected to a copper sleeve around the cathode roller core, outer ring surfaces of the copper plates and the steel support plates are connected to a copper cylinder, inner ring surfaces of the steel support plates are connected to the cathode roller core; and multiple electrically conductive support rings on the copper cylinder are connected to the copper plates on two sides through the electrically conductive copper bars to form a conducting loop to improve the distribution uniformity of the current on the surface of the cathode roller.

Large-width cathode roller for producing high-strength ultra-thin copper foil

In an example embodiment, a solution is used to provide for a highly efficient image dispatch system for container-based in-memory databases in a database-as-a-service framework that provides storage and bandwidth cost savings and introduces advanced features of container techniques. This solution makes best use of the advantages of the concurrent and distributed capabilities of in-memory databases in a database-as-a-service framework. A container operator manager provides operators for various uses, such as the 'diff' operator and the 'merge' operator. A dispatch manager acts as a centralized service for diff content maintenance, patch publication and management of dispatch worker nodes. A patch worker on each node has the capabilities to execute the specified patching and validation between the images located on each side of the in-memory database in the database-as-a-service framework.

Peer-to-peer delta image dispatch system

A hot-spinning formation method for large-diameter titanium alloy cylindrical parts. A workblank is placed in a resistance furnace to heated to 600-650&#xb0; C., is maintained at this temperature for 0.5-1 h and is then taken out of the resistance furnace; after the workblank is heated, the inner diameter of the workblank becomes larger; the heated workblank is installed on a mandrel, and spinning is started when a maximum clearance between the workblank and the mandrel is less than 0.5 mm; the mandrel and the spinning rollers do not need to be preheated, and a multi-pass spinning process is adopted, such that the workblank can deform more uniformly. A vertical spinning lathe is used for spinning, the mandrel is easy to change, and the workblank is easy to assemble and disassemble.

Hot-spinning formation method for large-diameter titanium alloy cylindrical parts

In an example embodiment, a new solution is provided for an in-memory database provided in a cloud as a service that enables 'job cross running' instead of 'parallel job running.' Specifically, job scripts are clustered based on a shared service. A primary job script in the cluster is compiled and executed, but secondary job scripts in the cluster are not compiled until after the execution of the primary job script has begun. A mock library is inserted into each of the secondary job scripts to cause service calls for the shared service in the secondary job scripts to be replaced with mock service calls. The secondary job scripts are then scheduled and executed, and upon completion the primary job script is permitted to delete the shared service.

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Xi'an, China

Le Zhang