Service Request Template Retrieval for Cloud Pod Scheduling
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
In cloud computing environments, there is a need to optimize the management of pooled and configurable computing resources to efficiently allocate and schedule workloads across computing racks, ensuring efficient resource utilization and optimal service delivery while managing operational costs.
Innovation Solution
A computer system with a pod manager that provides an interface for orchestrating and managing computing resources, allowing for the allocation and scheduling of resources across computing racks, using service request templates to construct and execute actions on computing pods, and enabling the composition of nodes from pooled compute, memory, and network resources.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If service request templates are stored and reused for constructing service requests, then productivity is improved by reducing redundant operations, but device complexity increases due to template management infrastructure
Solution Approach 1:
Service request templates are prepared and stored in advance in a data store, containing pre-defined structures for common service requests. When a service request is needed, the system retrieves the appropriate template and populates it with specific parameters, avoiding the need to construct the entire service request from scratch each time.
Solution Approach 2:
The system creates and stores copies of service request templates that can be reused multiple times. Instead of recreating the same service request structure repeatedly, the system retrieves stored template copies and modifies them with different parameter values to generate new service requests.
2Adaptability or versatility
If computing resources are pooled and allocated dynamically, then adaptability is improved for managing heterogeneous resources, but loss of information increases due to payload modifications during allocation
Solution Approach 1:
The system extracts the payload portion of service requests and separates it from the request structure. Templates store only the essential structure and metadata, while payloads are retrieved and populated separately, ensuring that critical information is preserved and not lost during template instantiation.
Solution Approach 2:
The system introduces an intermediary payload retrieval mechanism that acts as a buffer between template instantiation and service request execution. Payloads are stored separately in the data store and retrieved during the service request construction process, ensuring information integrity while allowing flexible resource allocation.
Data Source
AI summary
In an aspect of the disclosure, a method, a computer-readable medium, and a computer system are provided. A first device of the computer system provides a service interface for retrieving stored service request templates for executing actions on a computing pod. The first device receives, at the service interface, a template request for a service request template for constructing a reused service request, the reused service request requesting the computing pod to execute a first action. The first device retrieves the service request template from a data store in accordance with information provided by the template request. The first device sends the service request template in a response to the template request.