Sap Se

Sap Ag

Hristo S Iliev

Krasimir Semerdzhiev

Stoyan Zhivkov Boshev

Vladimir Pavlov

Dimitar P Kostadinov

Verzhiniya Noeva

Hristo Kostov

Petar Zhechev

Petio G Petev

Georgi Stanev

Jasen Minov

Mladen L Markov

Nikolai Dimitrov

Some examples of security cloud computing environments can be implemented as methods. A processor of a first computer system that lacks permission to store data in a cloud computing environment receives data to be stored in the cloud computing environment. The data is received from a second computer system implementing the cloud computing environment and having permissions to store data in the cloud computing environment. The processor of the first computer system determines that the received data is safe for storage in the cloud computing environment. The processor of the first computer system determines that the received data is safe for storage in the cloud computing environment. The processor of the first computer system provides a notification to the second computer system indicating that the received data is safe for storage in the cloud computing environment, and an identifier that points to the stored data at the computer-readable storage medium.

Securing cloud computing environments

Applications and their application components run on a cloud platform and an underlying cloud runtime infrastructure. The cloud platform provides a service that exposes an interface to remotely change log levels of logger objects defined in application components. The application logs are generated and stored for the application components on the cloud runtime infrastructure of the cloud platform. Log levels affect the content stored in the application logs. The exposed interface is instantiated to process remote requests for managing application logs and log levels for a specified application component. The application component is deployed on the cloud platform. The requested change in the log levels is performed based on the implementation of the interface. The change in the log levels is performed in the configuration data on the cloud runtime infrastructure provided by the cloud platform.

Managing application log levels in cloud environment

Applications and their application components are deployed on a cloud platform. The application components generate application logs on the underlying cloud runtime infrastructure of the cloud platform. In one aspect, the application logs may be stored on a network storage on the cloud platform. In another aspect, the application logs may be stored on the cloud runtime infrastructure. The cloud platform provides a service that exposes an interface to remotely provide the stored application logs. The exposed interface is instantiated to process remote requests for application logs for a specified application component. The remote requests are sent from a client. The requested application logs are retrieved based on the implementation of the interface. The application logs are provided to the client.

Providing remote application logs for cloud applications

A system and method of starting or stopping components using filters. The filter including an action to be performed on a component, a component type, a vendor name, and a component name.

System and method for filtering components

A system and method for file system synchronization is described. A method described includes saving content of a cluster file system (CFS) archive to a CFS database, detecting a change made in the CFS database with respect to the CFS archive, comparing an index of the CFS database with an index of the file system, and updating the file system to reflect the change in the CFS database.

System and method for cluster file system synchronization

Embodiments include a timeout event management system that registers timeout events and checks for and corrects inaccuracies in timing caused by hibernation or system time changes. The timeout event management system may trigger an event after an intended delay time or at an intended expiration time. A handler program may be called in response to the triggered timeout. In an additional embodiment, the timeout system may track timeout events in a priority queue data structure.

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Sadovec, Bulgaria

Hristo S Iliev