Abstract: A rerunning load is reduced for reducing the risk of exceeding a specified termination time after abnormally ending a job net. Even if the same data processed by jobs within a job net is replaced with split data of sub-jobs and some of sub-jobs have been abnormally ended, the job net is continued. For each split data, a state and/or an execution server ID of each job are stored, and the progress of a job net is managed. Only split data whose state is not “normal” is to be processed by rerunning. Based on states of execution servers, on whether or not intermediate files transferred between jobs is shared among execution servers, and on whether or not an output file is deleted after ending the subsequent job, it is judged whether or not intermediate files can be referred to and from what job the rerun is to be performed.

Abstract: In a distributed cluster environment in which multiple pieces of business processing are performed in one system, an individual load distribution method can be selected according to the prioritization in each business processing and the processing capability of a distributed node for executing the processing, the automatic adjustment of the threshold value of the load determined by a user is tried in load distribution, and even when the performances of bases of nodes which constitute the distributed cluster environment are not particularly uniform, it is possible to make the best use of resources in the distributed cluster environment by parallel execution.

Abstract: A batch job multiplex processing method which solves the problem that a system which performs multiplex processing including parallel processing on plural nodes cannot cope with a sudden increase in the volume of data to be batch-processed using a predetermined value of multiplicity, for example, in securities trading in which the number of transactions may suddenly increase on a particular day. The method dynamically determines the value of multiplicity of processing including parallel processing in execution of a batch job on plural nodes. More specifically, in the method, multiplicity is determined depending on the node status (node performance and workload) and the status of an input file for the batch job.

Abstract: For data obtaining target at execution of a new task, if a data set as a processing target is beforehand allocated to a data allocation area in an allocation-target execution server as a target of allocation, a schedule server of a job processing system sets the data set as the data obtaining target; if the data set as the processing target is not beforehand allocated to the data allocation area in any one of the execution servers, the schedule server sets the data in the external storage area as the data obtaining target; and if the data set as the processing target is beforehand allocated to the data allocation area in a second execution server other than the allocation-target execution server, the schedule server sets the data set allocated to the second execution server as the data obtaining target.