The internet, global economy, and information demands have dramatically changed the way today’s modern datacenters work. In these times of globalization enterprises have channels, subsidiaries and customers spread all over the world. The internet has linked all of us together but this has also increased processing demands. We have become an “on-demand” society and have come to expect fast response to our information requests. There is no time to sleep when it comes to background processing. Dramatically said – the batch window has closed. Read more today!
Dynamic Scheduling in Enterprise Workload Automation Introduction The internet, global economy, and information demands have dramatically changed the way today's modern datacenters work. In these times of globalization enterprises have channels, subsidiaries and customers spread all over the world. The internet has linked all of us together but this has also increased processing demands. We have become an "on-demand" society and have come to expect fast response to our information requests. There is no time to sleep when it comes to background processing. Dramatically said - the batch window has closed. Business users and customers all over the world demand accurate business data and availability of services 24 * 7 * 365. IT has always been tasked to deliver services that provide the right information to the right person, at the right time and at the lowest possible cost. This means there is a defined point in time to deliver information and services to the business. If there is a risk for a delay, dynamic datacenters need to be able to add processing power at execution time without manual intervention. In addition they need to be able to handle all the unpredictable processing requests like Ad-Hoc processing requests coming from web-applications, ERP-Tools or events coming from databases, file systems, operating system consoles, or web services. Those unpredictable events will occur more and more often the larger the enterprise grows. These requests need to be ordered by priority and aligned with the existing IT-resources. Legacy batch job scheduling products are static and inflexible and do not fit today's dynamic processing needs. This document describes the philosophy of just-in-time processing and how dynamic scheduling can solve the challenges that IT is facing today. Just-In-Time Processing .......................................................2 24*7*365 Availability Requirement........................................3 Dynamic Alignment With Existing Resources ...........................3 Flexibility and Agility Let You Grow Faster...............................4 Manage Growth Without Exploding IT Costs ............................4 Dynamic Mass Data Processing..............................................4 Copyright 2009 UC4 Software GmbH (UC4), all rights reserved. The materials in this publication are protected by copyright Dynamic, Intelligent Decisions at Runtime ..............................5 and/or other intellectual property laws. Any unauthorized use of the materials in this publication can result in an infringement of Full audit trail......................................................................5 these laws. Unless expressly permitted, the copying of information or documents from this publication, in any form, without the prior written permission of UC4 is prohibited. Summary ...........................................................................5
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Just-In-Time Processing When it comes to automating across all your different environments, you do not want to over or under provision your IT infrastructure as there is a related cost to doing this. In fact one can draw a parallel here to the manufacturing industry with the familiar technique of 'Just-in-time' manufacturing that revolutionized this industry. This can be equally applied to application process automation. By implementing 'Just-In-Time' Processing you can revolutionize your IT business information delivery. When examining each process inside the organization, there is a point in time where the business needs a particular piece of information. This could be far to the right on the X-axis with batch processing, or to the left on the X-axis, with online/real time processing. There is a related cost inherent to the process response time represented by the blue line in figure 1. Real-time processing requires costly investment in infrastructure but you may have certain applications where this is a necessity for your business. On the other hand pure batch processing can be achieved at a relatively low cost, provided you have implemented a highly integrated batch solution across your enterprise. The value to a business of implementing real-time systems or batch can be quite different, as shown by the Business Value Curve. Having pure batch processing which is not in tune with today's 'on-demand' customer needs brings minimal or little added value to the business. Whereas with online/real-time systems ... [download for more]
