Annotated Service Blueprints for Intelligent Workload Management
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Solution Overview
Problem
Existing systems for managing workloads in cloud and virtualization environments lack visibility and communication across silos, leading to lost context and inefficiencies, and fail to provide agile infrastructure solutions that align with modern business speeds, resulting in performance, latency, and governance challenges.
Innovation Solution
A system and method for intelligent workload management that employs a model-driven, service-oriented architecture to converge information on user identities, access credentials, and infrastructure resources, creating annotated service blueprints for provisioning and managing tessellated service distributions, enabling agile and flexible management of physical and virtual resources.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If cloud computing environments are designed to support generic business practices, then resource scalability and virtualization are improved, but visibility and control over workloads deteriorate
Solution Approach 1:
The patent introduces a service broker as an intermediary component that sits between workload requests and cloud resources. This broker receives workload requests, translates them into service-level descriptions, and mediates the provisioning process. The broker maintains a service catalog and service level agreements, providing visibility into resource allocation while enabling generic business practice support. This intermediary layer resolves the contradiction by preserving visibility mechanisms even in highly virtualized environments.
Solution Approach 2:
The patent implements feedback mechanisms through service level agreements (SLAs) that continuously monitor workload performance, resource consumption, and service quality. The system provides feedback loops where performance data flows back to the service broker and workload management layer, enabling dynamic adjustment of resource allocation. This feedback mechanism maintains visibility and control despite the abstracted nature of cloud virtualization, allowing organizations to monitor and manage workloads effectively.
2Device complexity
If information technology systems operate in silos, then system simplicity is maintained, but context loss and management efficiency deteriorate
Solution Approach 1:
The patent merges previously siloed management functions into a unified service-oriented architecture. The service broker consolidates workload management, resource provisioning, and service level monitoring into a single integrated layer. This merging eliminates context loss between silos while maintaining manageable system complexity through standardized service interfaces. The integrated architecture enables efficient cross-functional management by preserving context across previously disconnected systems.
Solution Approach 2:
The patent creates a universal service management platform that handles multiple functions through a common architecture. The service broker provides multi-functional capabilities including workload translation, resource allocation, SLA management, and performance monitoring. This universal approach improves management efficiency by eliminating the need for separate siloed systems while maintaining operational simplicity through standardized service-level abstractions that work across diverse underlying infrastructure.
3Adaptability or versatility
If generic cloud platforms are deployed, then infrastructure flexibility is improved, but performance and latency control deteriorate
Solution Approach 1:
The patent applies local quality by enabling differentiated service levels for different workloads while maintaining overall infrastructure flexibility. The service broker allows organizations to define specific performance requirements and resource allocation policies for different service types. This enables high-performance critical workloads to receive prioritized resource allocation and optimized performance tuning, while less critical workloads use standard infrastructure. The local quality approach preserves infrastructure flexibility through virtualization while delivering controlled performance improvements where needed.
Data Source
AI summary
The system and method described herein for providing annotated service blueprints in an intelligent workload management system may include a computing environment having a model-driven, service-oriented architecture for creating collaborative threads to manage workloads. In particular, the management threads may converge information for creating annotated service blueprints to provision and manage tessellated services distributed within an information technology infrastructure. For example, in response to a request to provision a service, a service blueprint describing one or more virtual machines may be created. The service blueprint may then be annotated to apply various parameters to the virtual machines, and the annotated service blueprint may then be instantiated to orchestrate the virtual machines with the one or more parameters and deploy the orchestrated virtual machines on information technology resources allocated to host the requested service, thereby provisioning the requested service.