Abstract: Methods, systems, and computer program products for training an optimized time estimation system for completing a data processing job to be run on a data processing device that operates within a distributed processing system having a range of platforms. Embodiments include creating a prediction algorithm based upon retrieved operational parameters associated with a data processing job. Embodiments also include retrieving further operational parameters associated with the data processing job. Embodiments include updating the prediction algorithm based on the further operational parameters, in which the prediction algorithm is updated by modifying parameter values associated with variable parameters of the prediction algorithm.

Abstract: A process controller adapted to provide an estimated prediction of a processing time for a data processing job to be run on one or more of a plurality of data processing devices that operate within a distributed processing system having a range of platforms, the process controller being in communication with a job prediction engine adapted to calculate an estimated processing time associated with the data processing job, wherein the process controller uses the estimated processing time to determine the estimated prediction and is further adapted to control the assignment of the data processing job to the data processing devices upon acceptance of the estimated prediction by a user.

Abstract: A process controller adapted to provide an estimated prediction of a processing time for a data processing job to be run on one or more of a plurality of data processing devices that operate within a distributed processing system having a range of platforms, the process controller being in communication with a job prediction engine adapted to calculate an estimated processing time associated with the data processing job, wherein the process controller uses the estimated processing time to determine the estimated prediction and is further adapted to control the assignment of the data processing job to the data processing devices upon acceptance of the estimated prediction by a user.

Abstract: A process for the preparation of polyetherpolyols by reacting diols or polyols with ethylene oxide, propylene oxide, butylene oxide or a mixture thereof in the presence of a multimetal cyanide complex catalyst is proposed, the reaction being carried out in a stirred kettle reactor and the reaction mixture being circulated via an external heat exchanger by means of a pump.

Abstract: A process for the preparation of polyetherpolyols by reacting diols or polyols with ethylene oxide, propylene oxide, butylene oxide or a mixture thereof in the presence of a multimetal cyanide complex catalyst is proposed, the reaction being carried out in a stirred kettle reactor and the reaction mixture being circulated via an external heat exchanger by means of a pump.

Abstract: A process for preparing double metal cyanide catalysts, comprising combining an aqueous solution of a metal salt of the formula M1m(X)n, with an aqueous solution of a cyanometallic acid of the formula HaM2(CN)b(A)c, where one or both aqueous solutions may comprises at least one water-miscible organic ligand selected from the group consisting of alcohols, aldehydes, ketones, ethers, polyethers, esters, ureas, amides, nitrites or sulfides, if desired, combining the aqueous suspension thus obtained with at least one water-miscible organic ligand selected from the above-mentioned group, which ligand may be identical to or different from any previously added ligand, and separating the resulting two-metal cyanide complex from the suspension.