Job Scheduling Java Job Scheduling


Typically, jobs are systems-oriented (S2S- System-to-System), with little or no Workflow orientation, as depicted in the example below:


Trade Schedule

We call the job scheduling component of the Flux API an underlying engine for good reason. The Flux engine is so much more than a limited generic or passive job scheduling solution. Flux is different. The flexible and adaptable nature of the engine allows for custom solutions and immediate unification with Workflow and File Transfer.


At its core, the job scheduling component orchestrates customized definable tasks reliably and swiftly. This schedule it once run it often approach allows you to automate, monitor and manage your processing environment with as little manual intervention as possible. This certainly translates to your bottom line.


For Java software developers, Flux may be embedded as a set of APIs and user-friendly graphical interfaces for Java, J2EE, XML, and Web Services applications and becomes the engine that enables sophisticated and highly scalable job scheduling.



Customers are accomplishing a broad array of tasks with Flux Job Scheduling.



Examples:


  • In banking operations, end of day reports need to be run after the close of the stock exchange. Flux can be used to schedule the time the report is to be run, kick off the report generation, and then email the report to the appropriate people.
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  • 401k contributions need to be computed at the end of each pay period by HR departments worldwide. Flux can be configured to fire only at the end of each pay period. A contribution report is then generated and the correct contributions are made.
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  • In government work, regulation time frames need to be maintained. Flux ensures that deadlines are met before the regulation window passes.
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  • Data backups are vital to mission critical systems. Flux coordinates the backup process and notifies your operations team is something is amiss.
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  • In a scientific research environment, large amounts of data needs to be processed while scientists are in the field or when the lab is quiet. Flux can schedule data processing during the optimum hours.

Java Job Scheduling is one key component to Flux, along with File Transfer and Workflow. All three are combined to create a unified product.