Patent application number | Description | Published |
20090055636 | METHOD FOR GENERATING AND APPLYING A MODEL TO PREDICT HARDWARE PERFORMANCE HAZARDS IN A MACHINE INSTRUCTION SEQUENCE - A computer implemented method, data processing system, and computer program product for generating and applying a model to predict hardware performance hazards in a machine instruction sequence. The illustrative embodiments generate rules which specify relationships between a first instruction code sequence and hardware performance hazards. This rule generation is performed as a machine task rather than a human task (e.g., traditional hand coding tools). When a second instruction code sequence is received, the rules are applied to the second instruction code sequence. Responsive to a prediction that execution of the second instruction code sequence will cause the hardware performance hazards, instructions in the second instruction code sequence that cause the hardware performance hazards are identified. | 02-26-2009 |
20090282387 | SYSTEM AND PROGRAM PRODUCT FOR PROVIDING COMPUTING-ENVIRONMENT CONTROL OF A RESOURCE TO BE ACCESSED BY PROGRAM CODE - A system and program product for facilitating computing-environment control of a resource to be accessed by existing program code is provided which includes transparently replacing an uncontrolled resource referenced by existing program code with a resource controlled by a computing environment. The protocol also includes transparently interposing at least one resource management service of the computing environment between the existing program code and the resource controlled by the computing environment, wherein the at least one resource management service provides computing-environment control of the resource to be accessed by the existing program code. The replacing of the uncontrolled resource prevents the existing program code from directly accessing the resource. | 11-12-2009 |
20130018889 | Lossless compression of high nominal-range dataAANM Jagmohan; AshishAACI IrvingtonAAST NYAACO USAAGP Jagmohan; Ashish Irvington NY USAANM Knight; Joshua W.AACI Mohegan LakeAAST NYAACO USAAGP Knight; Joshua W. Mohegan Lake NY USAANM Lastras-Montano; Luis A.AACI Cortlandt ManorAAST NYAACO USAAGP Lastras-Montano; Luis A. Cortlandt Manor NY US - A method for receiving a data stream that includes data samples, each data sample having one of a plurality of actual values. For each data sample in the data stream, a first index in a dictionary is selected. The dictionary includes indices corresponding to each of the plurality of actual values. The first index corresponds to an actual value of the data sample. A predicted value of the data sample is generated in response to previously received data samples in the data stream and to a prediction algorithm. A second index in the dictionary that corresponds to an actual value in the dictionary that is closest to the value of the predicted value is selected. The difference between the first index and the second index is calculated and compressed. The compressed difference between the first index and the second index is then output. This process is performed for each data sample in the data stream. | 01-17-2013 |
20130111026 | SERIALIZATION OF ACCESS TO DATA IN MULTIMAINFRAME COMPUTING ENVIRONMENTS | 05-02-2013 |
20130111557 | ACCESS CONTROL IN A HYBRID ENVIRONMENT | 05-02-2013 |
20130111563 | ACCESS CONTROL IN A HYBRID ENVIRONMENT | 05-02-2013 |
20150113116 | PROBLEM DETERMINATION IN A HYBRID ENVIRONMENT - A multi-mainframe system problem determination method includes recording, in a first computing system, diagnostic data, receiving, in the first computing system, a data collection trigger, responsive to the data collection trigger, coordinating, in the first computing system, synchronized collection of recorded diagnostic data with a second computing system and delivering collected diagnostic data to a storage medium. | 04-23-2015 |
20150113130 | PROBLEM DETERMINATION IN A HYBRID ENVIRONMENT - A multi-mainframe system problem determination method includes receiving, in a first computing system, a data collection trigger, coordinating, in the first computing system, synchronized diagnostic data collection with a second computing system, and delivering the diagnostic data to a storage medium. | 04-23-2015 |