Cloud resource deployment control
By integrating tenant-defined and global deployment constraints, the solution allows tenants to manage resource deployments in cloud environments according to their specific uptime and security needs, addressing alignment issues and ensuring compliance.
JP2026520284APending Publication Date: 2026-06-23ORACLE INT CORP
Patent Information
- Authority / Receiving Office
- JP · JP
- Patent Type
- Applications
- Current Assignee / Owner
- ORACLE INT CORP
- Filing Date
- 2024-04-29
- Publication Date
- 2026-06-23
AI Technical Summary
Technical Problem
Customers lack control over when and how resources are deployed in cloud environments due to varying uptime and security/compliance needs, leading to deployment schedules that may not align with their specific requirements.
Method used
Implementing tenant-defined partition-specific deployment constraints within a cloud infrastructure environment, balanced with global deployment constraints, allowing tenants to manage resource deployments dynamically based on partition-specific state information.
Benefits of technology
Enables tenants to control resource deployments according to their specific needs while ensuring alignment with cloud provider policies, balancing tenant and provider control for efficient and compliant resource management.
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Smart Images
Figure 2026520284000001_ABST
Abstract
A technology for controlling resource deployment in cloud partitions of a cloud environment is disclosed. A cloud service provider (CSP) operates a cloud environment in which its customers can specify two tiers of constraints on deployments to their respective partitions (i.e., regions or realms). The first deployment constraint may be a global constraint set by the CSP, and the second deployment constraint may be a partition-specific deployment constraint set by the CSP's customer. Each deployment constraint applies to any changes / updates that can be made to one or more specific partitions. A global deployment orchestrator coordinates deployments at least partially based on whether the two tiers of deployment constraints are met.
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