International Business Machines Corporation

Joerg Erdmenger

Oliver Augenstein

Hans-Ulrich Oldengott

Thomas Prause

Martin Raitza

Peter Gerstl

Simon D Moser

Werner Schuetz

Matthias Kubik

Enrico Regge

Michael Beck

A method, system, and computer program product for implementing automated serverless runtime container allocation is provided. The method includes defining a number of runtime containers and associated characteristics required for each worker node of a plurality of worker nodes for execution of a specified workload. The specified workload is dispatched to the plurality of worker nodes and a specified portion of the specified workload is assigned to each worker node. An application executing a universal runtime container that includes potential application runtimes and associated supported software versions within a layered modifiable format is generated and unused layers are removed from the universal runtime container. The specified workload is executed via the universal runtime container and a set of available universal runtime containers is refilled on an associated work node.

Serverless runtime container allocation

A method, system, and computer program product for displaying components assigned to events produced by resources, includes: registering a new resource by generating a label to which is associated a system specific device identifier used by the new resource within a computing environment; storing in a mapping table the generated label identifying the registered new resource together with an associated system specific device identifier; and updating the mapping table by associating to the label any other system specific device identifier used by the new resource within the computing environment; receiving events produced by resources when being executed within the computing environment, each event being associated with a list of labels for the resources relevant for the generation of the event; and maintaining a tag cloud including different tags, the different tags including labels for the resources associated with the received events to be displayed as components.

Use tag clouds to visualize components related to an event

Mechanisms are provided for calculating a recovery time (t) of an application system in a computer system. The mechanisms tune the computer system dynamically. A recovery time (t) is calculated and controlled within flexible predefined time slices and compared to a predefined time period (t). A trigger is set in the case in which the calculated recovery time (t) exceeds the predefined time period (t). The mechanisms determine a type of redolog used during a backup process and a corresponding recovery speed value associated with the type of redolog. The recovery time is calculated based on the type of redolog used during the backup process and the corresponding recovery speed value associated with the type of redolog.

Calculating recovery time of an application system

A method, device and computer program for handling a data stream comprising a number of data objects, wherein for at least one of these data objects a decision is made whether a compression is conducted based on a value representing a compression factor of the data object.

Method for handling data

For the transfer of bulk data between a client computer system and at least one server computer system, throughput-relevant information is gathered from system components involved in the transfer. The information gathered is passed to a knowledge base that holds algorithms and data on relations and combinations of throughput-relevant information. By means of the knowledge base a set of performance parameters is generated that are effective to achieve a maximum data throughput. The determined set of performance parameters is used for a setup and configuration of a data transfer controller that controls the system complex for the transfer a maximum of data within a minimum amount of time and to reduce the expenditure for the system setup and configuration before the transfer is started. The data transfer may be part of backup and restore operations of bulk data.

Growing community of inventors

Waldenbuch, Germany

Joerg Erdmenger