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D In a typical work day, there are probably a dozen or more tasks you G must accomplish on your system that must be performed at regular times E of the day in a specific order. You may need files from your on-line E directory or files stored off-line. You may need data from a site in H another part of the country or from other areas of your own department. G What you don't need is to run around every day checking for data files H and then submitting each job manually while trying to meet the schedule deadlines.
H For example, suppose you are responsible for keeping the general ledger B up to date for the entire sales department. For this purpose, the H accounting department has written a program, GENLEDGER.EXE, which takes @ input data from the file TRNSC_TDAY.DAT and computes all of the H accounts which must be credited or debited, and then generates a report G for the Accounting Department. The TRNSC_TDAY.DAT file is then flagged as completed.
E Before GENLEDGER.EXE can run, the file TRNSC_TDAY.DAT itself must be G updated. To do this, you've written a command file, DEPTQRY.COM, which G runs five times to query each of the five departments as to completion H of entry of the financial transactions conducted that day. Three of the D departments always respond by the scheduled time, but two are often F late with their figures and this creates serious problems. You cannot D run GENLEDGER.EXE until you get the proper input file from all five E runs of DEPTQRY.COM but there are only two ways you can tell if this has happened:
- What you really needs is a program that will:
H It would be even nicer if the program could automatically skip weekends H or holidays and to wait until 4:00 pm to allow as many transactions per day as possible.
< This is precisely the sort of problem that SCHEDULE C can handle. It is an automated job-submission and execution system which allows you to:
F Many attributes and lists of information associated with each job aid 9 in making SCHEDULE invaluable in job scheduling. R 1.2 The SCHEDULE solution
D There are many other types of problems that are faced by every data G center. Routine production operations from batch processing, archiving F to tape, and disk and file optimization can form a large part of both A the system managers and the system operators everyday workloads. D Reducing this workload greatly enhances the efficiency of your data @ center and productivity overall, as well as avoiding the costly D mistakes and staff dissatisfaction that result from regular mundane tasks.
G SCHEDULE allows you to automate VMS production tasks B from sophisticated business-critical procedures to simple routine G backups. In fact, once a production schedule has been developed, there A is little need for further intervention until the system changes.
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