Red Hat, Inc.

Other

Filip Eliás

Filip Nguyen

Rostislav Svoboda

Pavel Slavícek

According to one example, a method performed by a computing system includes, with a first server, receiving a process request, starting processing of the process request, prior to completing the processing of the process request, storing objects associated with a thread of the process request in an object database that is accessible by the second server, storing thread metadata for the thread of the process request in a metadata database that is accessible by the second server, and sending a transfer request to a switching manager, the transfer request being to request that the process request be shifted to the second server.

Process transfer between servers

An example method of processing a query at a plurality of storage devices includes receiving a dual query from a client and generating a synchronous query and an asynchronous query based on the dual query. The dual query includes a set of conditions for selecting data from a set of database tables. The method further includes sending the synchronous query to a first storage device, sending the asynchronous query to a second storage device, and receiving a result set of the synchronous query. The result set of the synchronous query includes data selected from a set of database records in a set of primary database tables, which is stored in the first storage device and is a subset of the set of database tables. The method further includes marking a database record. A marked database record indicates usage of the data selected from the database record within a time period.

Dual overlay query processing

A cache system stores a number of different datasets. The cache system includes a number of cache units, each in a state associated with one of the datasets. In response to determining that a hit ratio of a cache unit drops below a threshold, the state of the cache unit is changed and the dataset is replaced with that associated with the new state.

Cache system with multiple cache unit states

Implementations for query data splitting are disclosed. In one example, the method includes receiving, by a processing device, a first query and a second query, determining that the second query is a subset of the first query, determining a first set of attributes associated with the first query and a second set of attributes associated with the second query, and determining, by the processing device, whether to submit the second query or the first query to a database in view of the first set of attributes and the second set of attributes.

Query data splitting

A method performed by a server computing system includes generating an operation for a web service, the operation corresponding to at least one main method of a console application, receiving input data from a client device through the operation, writing the input data to a memory store, executing the console application using the input data of the memory store, injecting code into the console application, the code to change input/output streams from a console input/output to the memory store. The method further includes writing an output of the console application to the memory store.

Console application through web service

An example system for processing a federated query includes a query proxy that receives a federated query including a plurality of source queries and receives an indication that a failed set of one or more source queries failed to execute successfully. Each source query is specific to an autonomous data source belonging to a federation. The system also includes a data federation engine that identifies a plurality of autonomous data sources to which to send the plurality of source queries. The plurality of autonomous data sources belong to the federation. The system further includes a query fail analyzer that updates a data structure to reflect the unsuccessful execution of one or more source queries of the failed set.

Source query caching as fault prevention for federated queries

Systems and methods are provided for data hub architecture to provide actionable data from remote sensor feeds. An exemplary method includes receiving, by a master hub of a plurality of data hubs, a request to access at least one first sensor in a first location and at least one second sensor in a second location from a data client, wherein the master hub is closest to the data client of the plurality of data hubs on a network, determining a first data hub that is closest to the at least one first sensor on the network, and determining a second data hub that is closest to the at least one second sensor on the network. The method further includes querying the first data hub and the second data hub for data and communicating the data to the data client.

Data hub architecture to provide actionable data from remote sensor feeds

A method performed by a computing system includes: with a resource monitoring module, providing to a code transformation module, a set of references to methods within a source code, the methods comprising code associated with a resource, with the code transformation module, creating a modified source code by inserting new code into the source code, the new code to close the resource at the end of each method referenced by the set of references, compiling the modified source code to create an application, with the resource monitoring module, during execution of the application, determining that an exception has occurred as a result of an attempt to access the resource when the resource is closed, and with the resource monitoring module, updating the set of references to include a new reference to a new method, the new method corresponding to the exception.

Resource closing

A method performed by a computing system includes creating a graph, wherein nodes of the graph represent data objects of a data storage cluster, wherein edges of the graph represent joins between data objects represented by both nodes of respective edges, wherein node values of the nodes and weights of the edges are based on statistics related to use of the data objects. The method further includes assigning a first subset of the data objects to a relational database storage node within the data storage cluster, the first subset of data objects being represented by nodes within a cluster of the graph, and assigning a second subset of the data objects to a non-relational database storage node within the data storage cluster, the second subset of data objects being represented by nodes within the graph that are not part of a cluster.

Storage cluster data shifting

An example method of integrating a plurality of heterogeneous peer-to-peer communication participants includes retrieving from a first input queue coupled to a duplex service a first message. The first message includes a message identifier and is from a sender. The method also includes applying a first operation on the first message, determining a first output of the first message based on the first operation, and sending the first output of the first message to a target. The method further includes retrieving from a second input queue coupled to the duplex service a second message. The second message includes the message identifier and is from a target. The method also includes applying a second operation on the second message, determining a second output of the second message based on the second operation, and sending the second output of the second message to the sender.

Duplex services residing in a messaging bus

A processor may perform conditional just-in-time (JIT) compilation. An example method may comprise: identifying, by the processor, a defined pattern in a byte stream derived from a high level programming language module; evaluating a conditional expression associated with the defined pattern, wherein the conditional expression comprises an execution platform identifier; and compiling the byte stream into a native code, while excluding, in view of the evaluating, a portion of byte stream associated with the defined pattern.

Conditional compilation of bytecode

Systems and methods are disclosed for categorizing a user. An example method includes marking one or more graphical user interface (GUI) features of an application. The method also includes monitoring a user's usage of the one or more marked GUI features of the application. The method further includes generating one or more user-specific ontologies for the user in accordance with the user's monitored usage. The method also includes comparing the one or more user-specific ontologies with a plurality of defined ontologies. Each defined ontology corresponds to a category of a plurality of categories. The method further includes categorizing the user in accordance with the comparison of the one or more user-specific ontologies and the plurality of defined ontologies.

Ontology based categorization of users

A system and method of collaborative processing of service requests includes receiving a service request at an application server, beginning execution of a proxy member function of a proxy class, and determining whether a movable member function in a movable class is to be executed at a client. When the movable member function is to be executed at the client, the method further includes creating a partial response including code for the movable class and information for invoking the movable member function and transmitting the partial response to the client fore execution of the movable member function. When the movable member function is not to be executed at the client, the method further includes executing the movable member function in the application server and returning a result of the movable member function as a result of the proxy member function. The proxy member function replaces the movable member function.

System and method for collaborative processing of service requests

A method and system for processing a request is provided. An example system includes a security module that authenticates a request from a client. The system also includes a Web service that determines whether the set of operations includes an input/output (I/O) operation and determines whether a result of the authentication has been determined. While the request is pending authentication, the Web service may initiate processing of the request and may ensure that no I/O operations are performed within the processing of the request until a request of the authentication has been determined.

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Vysni Lhoty, Czechia

Filip Eliás