System and method for controlling cloud and virtualized data centers in an intelligent workload management system

Abstract

The system and method for controlling cloud and virtualized data centers described herein may include a computing environment having a model-driven, service-oriented architecture for creating collaborative threads to manage workloads, and further to creating cloud images having embedded management agents and identity services for validating the cloud images prior to deployment into the cloud and virtualized data centers and controlling, monitoring, and auditing activity associated with the cloud images following deployment into the cloud and virtualized data centers.

Description

CROSS-REFERENCE TO RELATED APPLICATIONS[0001]This application claims the benefit of U.S. Provisional Patent Application Ser. No. 61 / 264,562, entitled “System and Method for Intelligent Workload Management,” filed on Nov. 25, 2009, the contents of which are hereby incorporated by reference in entirety.[0002]In addition, this application is further related to co-pending U.S. patent application Ser. No. ______, entitled “System and Method for Intelligent Workload Management,” filed on ______, co-pending U.S. patent application Ser. No. ______, entitled “System and Method for Recording Collaborative Information Technology Processes in an Intelligent Workload Management System,” filed on ______, co-pending U.S. patent application Ser. No. ______, entitled “System and Method for Managing Information Technology Models in an Intelligent Workload Management System,” filed on ______, co-pending U.S. patent application Ser. No. ______, entitled “System and Method for Discovery Enrichment in an...

AI Technical Summary

Benefits of technology

[0010]According to one aspect of the invention, the system and method for intelligent workload management may operate in a model-driven architecture, which may merge information relating to user identities with services that may be running in an information technology infrastructure. As such, the information merged in the model-driven architecture may be referenced to determine specific users or organizational areas within the infrastructure that may be impacted in response to a particular change to the infrastructure model. Thus, whereas information technology has traditionally been managed within disparate silos, where context exchanged between any two entities may be lost at the next step in the chain, the model-driven architecture may track context for information technology workloads from start to finish. As such, tracking context for the information technology workloads may provide audit trails that can then be used to identify a relevant user, application, system, or other entity that can provide assistance with a particular issue. Moreover, in the context of managing workloads for virtualized services, where different users typically have to communicate with one another on-demand, the audit trail that the model-driven architecture enables may track end-to-end workload activities and thereby provide visibility and notice to users, applications, systems, services, or any other suitable entity that may be impacted by the workload.

[0011]According to one aspect of the invention, the system and method for intelligent workload management may enable agile and flexible management for an information technology infrastructure, which may enable the infrastructure to move at the speed of modern business. For example, the system and method for intelligent workload management may further operate in a service-oriented architecture unifying various heterogeneous technologies, which may provide businesses with the capability to deploy information technology resources in a manner that can meet business objectives. For example, the service-oriented architecture may provide adaptable, interoperable, and user-friendly information technology tools to manage the infrastructure in a manner that addresses many typical business challenges that information technology organizations face. For example, while the model-driven architecture may employ virtualization features to provide manageable workloads that can move efficiently through the infrastructure, the service-oriented architecture may merge different technologies to provide various coordinated systems that can cooperate to optimally execute portions of an overall orchestrated workload. As such, the model-driven and service-oriented architectures may collectively derive data from the information technology infrastructure, which may inform intelligent information technology choices that meet the needs of businesses and users.

[0013]According to one aspect of the invention, services provisioned in the workload management system may include any suitable combination of physical infrastructure resources and virtualized infrastructure resources. For example, to provision virtualized services that can abstract underlying physical platforms and share computing resources in a manner that may address many needs for immediacy in business environments, the workload management system may manage physical infrastructure resources and virtualized infrastructure resources to support provisioning virtualized services. Thus, the service-oriented architecture employed in the workload management system may enable management for the physical infrastructure resources (e.g., rack-mounting, configuring, and otherwise physically installing servers, storage resources, and other devices), and may further enable management for the virtualized infrastructure resources (e.g., pre-configuring provisioned services with identity management features, denying, flagging, or auditing service requests from unauthorized entities, etc.). Moreover, the workload management system may be considered a service in that the workload management service may be built dynamically in response to service requests (e.g., because a management infrastructure can introduce computational burdens just as any other resource, limiting the existence of the workload management infrastructure to an on-demand service can free computational resources for other tasks having a greater need for immediacy).

Problems solved by technology

Thus, whereas information technology has traditionally been managed within disparate silos, where context exchanged between any two entities may be lost at the next step in the chain, the model-driven architecture may track context for information technology workloads from start to finish.

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