International Business Machines Corporation

Michael Paul Clarke

Andrew Wright

King-Yan Kwan

John A W Kaputin

Joshua H Armitage

Al Chakra

Matt Richard Hogstrom

Juergen P Schneider

John A Kaputin

Walter Schueppen

Alexander Terekhov

Disclosed aspects relate to agent flow arrangement management in a distributed commit processing environment. A first set of agent utilization data may be collected with respect to a first commit processing agent. A second set of agent utilization data may be collected with respect to a second commit processing agent. An agent flow arrangement may be determined based on a first value with respect to the first set of agent utilization data exceeding a second value with respect to the second set of agent utilization data. The agent flow arrangement may have the first commit processing agent subsequent to the second commit processing agent. The distributed commit operation may be processed using the agent flow arrangement which has the first commit processing agent subsequent to the second commit processing agent.

Agent flow arrangement management

A system and method include an analytics engine of a system of an enterprise sharing issues encountered in the system. The method includes storing considerations to be applied to the sharing. The considerations include a service level agreement, contract, or confidentiality agreement. The method also includes deciding to share one or more of the issues based on applying the considerations to each of the issues, and sharing the one of more of the issues with one or more sharing partners based on the applying the considerations.

Dynamic cognitive issue archiving and resolution insight

A computer-implemented method for optimizing research of an abstracted issue with a plurality of analytics engines is described. The method includes receiving a problem report at an analytics engine controller. The problem report includes symptoms of a problem in a computing system. The analytics engine forwards the problem report to a research optimization engine that abstracts one or more issues associated with the problem based on the symptoms of the problem. The research optimization engine then obtains anomaly research data for one or more of diagnosing the problem and fixing the problem. The anomaly research data is based on the one or more abstracted issues. The research optimization engine associates the abstracted issues with corresponding portions of the anomaly research data, then assigns the abstracted issues and corresponding portions of the anomaly research data to at least one of the plurality of analytics engines.

Analytics gathering of discovered and researched insights

A system and method of managing a system include receiving data indicating problems in the system that includes at least one computer system. The method also includes generating a hypothesis of a correlation between two or more of the problems, and determining whether the hypothesis of the correlation is correct following a resolution of at least one of the two or more of the problems. The two or more of the problems are identified as a new combination problem based on determining that the hypothesis of the correlation is correct.

A cloud deployment system is used for obfuscating CPU operation codes in a set of machines operating in a distributed computing environment. A reprogrammable microcode replaces a hardware instruction set, the microcode layer containing a set of original operation codes. A first transform of the set of original operation codes produces a first set of transformed operation codes. A first transformed microcode is created which incorporates the first set of transformed operation codes instead of the original operation codes. An operating system and an application is compiled using the first set of transformed operation codes to produce a first cross compiled operating system and application. The first transformed microcode, the first cross compiled operating system and application are deployed to a respective first one of the set of machines, the first one of the machines equipped with a softcore processor.

CPU obfuscation for cloud applications

A system and method of obtaining an abstracted issue from a problem associated with a system include receiving a problem report. The problem report includes one or more symptoms of the problem. The method also includes deleting at least an identifier of the problem in the problem description to generate the abstracted issue, and storing the abstracted issue in a searchable database.

Aspects include receiving, at a pass-through server executing in a replay mode, a request directed to a backend resource. The request is received from an application that is connected to the pass-through server. The pass-through server executing in the replay mode identifies a response that corresponds to the request by: forming a key that includes an identifier of the current execution phase of the application and at least a subset of the request; accessing trace data that includes a plurality of keys and corresponding responses that were previously recorded in the trace data by the pass-through server executing in a recording mode; and using the key to locate, in the trace data, the response corresponding to the request. The identified response is relayed, by the pass-through server executing in the replay mode, to the application.

Resuming applications using pass-through servers and trace data

A method, apparatus and program product for shutting down a first instance of an application and starting up a second instance of the application. The first instance of the application has associated therewith at least one first instance support resource. The second instance of the application has associated therewith at least one second-instance support resource. The method includes starting up the at least one second-instance support resource; shutting down the first instance of the application after the at least one second-instance support resource has started up; and starting up the second instance of the application based on at least one condition from a set consisting of: when the at least one second-instance support resource is running, and when the first instance of the application has shut down to a selected degree.

Moving a software application in a system cluster

A method, a computer program product, and a computer system for scheduling downloads based on metadata in a client-server topology. A server receives from a client application a request for scheduling a download of a file, wherein the request for scheduling the download of the file comprises a requirement of a time period for downloading the file. The server fetches information from one or more metadata sources. The server determines an optimal time for downloading the file, based on the requirement of the time period and information from one or more metadata sources. The server sends a response with the optimal time and information for downloading the file. The server receives from the client a request for downloading the file at the optimal time. The server serves, at the optimal time, the file to the client application.

Scheduling downloads based on metadata in a client-server topology

A method for registering a plurality of callbacks. The method may include receiving at least one callback function in a virtual machine, which includes a plurality of callback registration information. The method may include registering each at least one received callback function in a virtual machine tool interface within the virtual machine to a list of callback functions for an event based on the plurality of callback registration information. The method may include monitoring the virtual machine for an occurrence of the event. The method may include determining the event has occurred. The method may also include generating a local frame for each at least one registered callback function within the list of callback functions for the determined event. The method may include executing each at least one registered callback function based on each generated local frame associated with each at least one registered callback function.

Program execution without the use of bytecode modification or injection

A computer system for scheduling downloads based on metadata in a client-server topology. A server receives from a client application a request for scheduling a download of a file, wherein the request for scheduling the download of the file comprises a requirement of a time period for downloading the file. The server fetches information from one or more metadata sources. The server determines an optimal time for downloading the file, based on the requirement of the time period and information from one or more metadata sources. The server sends a response with the optimal time and information for downloading the file. The server receives from the client a request for downloading the file at the optimal time. The server serves, at the optimal time, the file to the client application.

A computer program product for scheduling downloads based on metadata in a client-server topology. A server receives from a client application a request for scheduling a download of a file, wherein the request for scheduling the download of the file comprises a requirement of a time period for downloading the file. The server fetches information from one or more metadata sources. The server determines an optimal time for downloading the file, based on the requirement of the time period and information from one or more metadata sources. The server sends a response with the optimal time and information for downloading the file. The server receives from the client a request for downloading the file at the optimal time. The server serves, at the optimal time, the file to the client application.

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Ellenbrook, Australia

Michael Paul Clarke