Cloud Orchestrator Policy Generation via Atomic Constraint Selection
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Solution Overview
Problem
Enterprises face challenges in efficiently determining IT resources that meet security, tenant, compliance, and performance requirements due to limited flexibility in vendor configurations and unclear pricing information for cloud orchestrators.
Innovation Solution
A method and system that provide real-time pricing and availability information for cloud resources, allowing users to select constraints and generate policies for cloud orchestrators to configure virtual machines optimally, automating the process and reducing errors.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If standard vendor configurations are used, then device complexity is reduced, but adaptability deteriorates
Solution Approach 1:
The patent segments the configuration process into atomic constraints that can be independently selected and combined. Each constraint represents a discrete policy parameter that can be configured separately, allowing enterprises to build customized policies from modular components rather than accepting monolithic vendor configurations.
Solution Approach 2:
The system dynamically generates policies based on real-time selection of atomic constraints. Rather than static vendor configurations, the policy can be adaptively constructed by selecting specific constraints from available options, enabling the configuration to evolve based on specific enterprise needs.
2Ease of operation
If manual configuration processes are used, then ease of operation is reduced, but information completeness improves
Solution Approach 1:
The system incorporates feedback mechanisms that provide real-time pricing and availability information as constraints are selected. This feedback loop allows users to see the impact of their selections immediately, enabling informed decision-making without manual research while maintaining configuration efficiency.
Solution Approach 2:
The patent introduces an intermediary system that acts as a mediator between the enterprise and multiple cloud orchestrators. This intermediary consolidates pricing and availability information from various sources, presenting it in a unified interface that eliminates the need for manual information gathering while ensuring completeness.
3Adaptability or versatility
If multiple cloud orchestrators are evaluated, then adaptability improves, but loss of time increases
Solution Approach 1:
The patent merges the evaluation processes of multiple cloud orchestrators into a single unified interface. By consolidating constraint options and pricing information from multiple vendors into one system, enterprises can evaluate all options simultaneously rather than sequentially, dramatically reducing evaluation time while maintaining the ability to select from multiple orchestrators.
Solution Approach 2:
The system performs preliminary actions by pre-compiling and organizing constraint options and pricing information from multiple cloud orchestrators before the user begins configuration. This advance preparation eliminates the need for real-time research and comparison, allowing users to immediately begin selecting constraints with all necessary information already available.
Data Source
AI summary
A method for determining policies for cloud orchestrators is provided. The method includes sending from a server to a client device, availability and pricing information pertaining to a plurality of constraints relating to a plurality of resources as managed by a plurality of cloud orchestrators, for selection. The method includes receiving at the server, via the network, the selection from the client device and generating, at the server, a policy for at least one of the plurality of cloud orchestrators, based on the selection.