Asynchronous Service Framework for Cloud Resource Management
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Solution Overview
Problem
Current Infrastructure as a Service (IaaS) models in cloud computing do not provide integrated solutions for managing and combining resources such as servers, storage, and networks, requiring manual configuration by users and lacking support for heterogeneous, hybrid, and multi-tenant cloud environments.
Innovation Solution
A service framework layer is introduced that operates independently of the IaaS layer, utilizing an asynchronous interface to provision and manage resources, enabling the creation of new services and supporting complex infrastructure provisioning, multitenant, and hybrid deployments through asynchronous topology definition and resource binding.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If manual configuration is used to manage and combine cloud resources, then user control is maintained, but system complexity and time consumption increase
Solution Approach 1:
The system enables automated self-service provisioning where the service framework automatically discovers, binds, and configures cloud resources based on service templates without requiring manual user configuration. The asynchronous interface automates the entire resource management lifecycle including creation, binding, and lifecycle management of cloud resources.
2Productivity
If synchronous interface is used to communicate with IaaS layer, then simple request-response processing is achieved, but system scalability and parallel processing capability are limited
Solution Approach 1:
The system transitions from static synchronous communication to dynamic asynchronous communication where service requests are submitted without blocking execution. The framework dynamically processes multiple requests in parallel, manages task queues, and handles resource provisioning operations concurrently, enabling the system to adapt to varying workloads and scale efficiently.
3Adaptability or versatility
If integrated resource management is implemented, then heterogeneous and hybrid cloud environments are supported, but system complexity increases
Solution Approach 1:
The system segments resource management into distinct modular components: service template definition, resource discovery, asynchronous interface communication, and binding operations. Each component handles specific aspects of heterogeneous resource management independently, allowing the framework to support multiple cloud environments through composable modular elements rather than monolithic complexity.
4Extent of automation
If automated service provisioning is implemented, then deployment efficiency is improved, but control and configurability are reduced
Solution Approach 1:
The service framework implements universal service templates that can define multiple types of cloud services with different resource requirements. The same asynchronous provisioning mechanism handles diverse service types including compute, storage, and network resources, while maintaining full configurability through template parameters. This allows automated provisioning across heterogeneous services without sacrificing customization capability.
Data Source
AI summary
A system includes an infrastructure as a service (IaaS) layer to provide a set of infrastructure services to manage computing resources in a cloud computing environment. The system includes a service framework layer, separate from the IaaS layer, the service framework layer comprising an asynchronous interface to communicate with the IaaS layer and to create a framework service to extend the IaaS layer in response to a command from an upper tier service, the framework service to employ the asynchronous interface to utilize an infrastructure service from the set of infrastructure services.