Intelligent workload management
Intelligent Workload Management ( IWM ) is a concept for the administration of IT systems . It results from the meeting of dynamic infrastructure , virtualization and identity management as well as the development of software appliances. IWM enables the secure and compliant management and optimization of computing resources in physical, virtual and cloud environments , paving the way for the provision of business services to end customers.
The IWM paradigm is based on the traditional concept of workload management, in which the allocation of processing resources to tasks or workloads is dynamic based on business process priorities (for example, requests for company data can take precedence over processing obtained from online transactions), resource availability, security logs, and event planning.
definition
In relation to the administration of IT systems and data centers, a workload in the broader sense is the total number of requests that a system receives from users and applications. The workload of a particular system can in turn be divided into independent units. Such a stand-alone unit is a workload in the strictest sense: an integrated stack consisting of middleware , an application , a database and an operating system , and is dedicated to a specific computing task. A workload is usually platform-independent, which means that it can be used in physical, virtual or cloud computing environments. A collection of related workloads that end users use to complete a specific set of business tasks can be referred to as a business service.
A workload is considered intelligent if a) it understands its security protocols and processing requirements and can decide for itself whether it can be deployed in the public or private cloud or only on physical devices; b) When it detects that it is nearing capacity and finds alternative computing resources to optimize performance; c) if he has identity and access controls as well as log management and compliance reporting functions and does not lose them when switching between different environments; and d) when fully integrated with the business services layer, ie, end-user computing requirements are not disrupted by distributed computing resources and the workload is compatible with current and new IT management frameworks .
safety
The implementation of individual workloads and workload-based business services in the hybrid data center distributed - including physical devices, data center, private cloud and the public cloud - provides companies with numerous challenges in the areas of deployment, security and compliance. With Intelligent Workload Management these challenges can be mastered in an efficient, flexible and scalable way, since workloads are equipped with "intelligence". You can efficiently manage yourself and decide where they run, how they run, and who is accessing them.
Individual evidence
- ^ Thomas Mendel: IT Management Software Market Update. (No longer available online.) In: The Forrester Blog For Vendedor Strategy Professionals. October 26, 2009, archived from the original on December 25, 2009 ; accessed on January 9, 2010 (English). Info: The archive link was inserted automatically and has not yet been checked. Please check the original and archive link according to the instructions and then remove this notice.
- ↑ Stefan Krompass, Harumi Kuno, Umeshwar Dayal, Alfons Kemper: Dynamic workload management for very large data warehouses: juggling feathers and bowling balls. Retrieved January 9, 2010 .
- ↑ James Koopmann: What Is Your Definition of Database Workload. Retrieved January 9, 2010 .
- ↑ Jeroen Bronkhorst: IT Services, Business Services, Services ... what's next. Retrieved January 9, 2010 .
- ↑ The Hybrid Distributed Data Center -er- Cloud. (No longer available online.) Archived from the original on October 4, 2009 ; Retrieved January 9, 2010 . Info: The archive link was inserted automatically and has not yet been checked. Please check the original and archive link according to the instructions and then remove this notice.
