Intelligent Workload Management
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Intelligent Workload Management ( IWM ) is an approach to the management of IT systems. It arises from the confluence of dynamic infrastructure, virtualization and identity management, and the development of software appliances. IWM enables the secure and compliant management and optimization of computing resources across physical, virtual and cloud environments, paving the way for the provision of business services to end users.
The IWM paradigm based on the traditional concept of managing workloads in which the allocation of processing resources to tasks or workloads is performed dynamically, on the basis of business process priorities (so you can, for example, requests to company data takes precedence over the processing obtained from online transactions ), resource availability, security logs and event planning.
Definition
In relation to the management of IT systems and data centers is a workload in the broader sense, the total number of requests received by a system of users and applications. The workload of a particular system can be partitioned into independent units. In such stand-alone unit is a workload in the strict sense: an integrated stack, which consists of middleware, an application, a database, and an operating system and is intended for a specific computing task. A workload is usually platform independent, ie it can be used in physical, virtual or cloud computing environments. A collection of related workloads that enable end users to complete a specific set of business tasks can be classified as business service.
A workload is considered to be intelligent, a) if he understands its security protocols and processing requirements and can decide for yourself if it can be provided in the public or private cloud or only to physical devices; b ) if it detects that its capacity is almost exhausted, and he makes alternative computing resources to optimize performance find; c ) if he has identity and access controls, and functions for log management and compliance reporting and does not lose it when you switch between different environments; and d) when it is fully integrated into business service layer, ie, end-user computing needs are not disturbed by distributed computing resources, and the workload is with current and new IT management frameworks compatible.
Security
The implementation of individual workloads and workload -based business services in the hybrid, distributed data center - including physical devices, data center, private cloud and public cloud - provides companies with a number of challenges in the areas of deployment, security and compliance. With intelligent workload management, these challenges must be met in an efficient, flexible and scalable manner, since workloads are equipped with " intelligence." You can manage themselves efficiently and decide where they are executed as they are running and who is accessing it.