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Workload automation
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The term Workload Automation was originally coined by Gartner Group Vice-President Milind Govekar as an identification of new emerging trends that represent an evolution of traditional job schedulers which needed to react to major architectural changes in applications and IT infrastructure and the dynamic demands of IT. Workload automation needs to be able to coordinate—in real-time—a varied set of workload types with complex dependencies across a broad spectrum of operating systems and application platforms. A scheduling model based only upon calendar events is not sufficient to meet the demands of today’s automated data centers. The requirement for batch submission of workloads driven by date/time dependencies still exists, but on-demand IT processing requirements have expanded job submission triggers far beyond the time dimension. Workload Automation solutions should provide: a service-oriented architecture (SOA); integration capabilities at the application services level for web services and Java EE-based applications; a service-level orientation for managing workloads and finally, a critical path analysis and reporting capabilities. 
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