BMC Software Research Report Sample

Job-scheduling tools have been automating static batch workloads for a long time (more than 25 years), particularly in mainframe environments. These tools have been able to automate multistep processes, such as processing and printing customer bills, transferring funds or loan approvals, and feeding and extracting data from data warehouses to help build business scenarios based on calendar-based schedules. Therefore, a job scheduler can automate a series of jobs, tasks or processes at a certain time every day or on a particular day, or based on certain date and time considerations. The job scheduler mainly runs these jobs or processes on a set of predetermined resources, such as multiple servers, databases or applications. Job schedulers also have the ability to manage complex dependencies between various jobs and processes across heterogeneous computing platforms. Many job schedulers have also evolved to support event-based scheduling, where it takes certain actions and executes processes on predetermined resources. For example, job schedulers have the ability to execute certain jobs or processes across various resources, based on WebsphereMQ events, Java Messaging Service events, database triggers or SAP events. Furthermore, they have been able to support scheduling across a wide range of complex IT resources, such as servers, databases, applications and middleware.