Cloud Service Component for Tenant Isolation
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Solution Overview
Problem
Standalone software applications like R lack cloud-compatible capabilities such as row-level security, load-based resource allocation, and multi-tenant isolation, making them unsuitable for execution in cloud environments.
Innovation Solution
A Java cloud service component that enables client applications to provision and manage logical application runtimes with specific configurations, allowing for direct access to user-isolated instances of application runtime environments, such as R systems, through a manager that handles requests for runtime instances and virtual machines.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If standalone applications like R are used in cloud environments, then application functionality is maintained, but cloud-compatible capabilities such as multi-tenant isolation and load-based resource allocation are lost
Solution Approach 1:
The patent introduces a cloud service component as an intermediary between the standalone application runtime (R) and the cloud platform. This mediator provides cloud-compatible capabilities including multi-tenant isolation, load-based resource allocation, and row-level security without requiring modifications to the core R application logic. The intermediary handles cloud-specific concerns while allowing the application to function as designed.
2Reliability
If multi-tenant isolation is implemented, then tenant security is improved, but system complexity increases
Solution Approach 1:
The patent segments the cloud platform into isolated tenant environments where each tenant operates in a dedicated runtime context. The system divides resources and access controls into discrete units per tenant, enabling independent security management. This segmentation approach provides strong isolation guarantees while keeping the implementation modular and manageable through standardized interfaces.
3Productivity
If load-based resource allocation is implemented, then resource utilization efficiency is improved, but control mechanism complexity increases
Solution Approach 1:
The patent implements dynamic resource allocation that adjusts computing resources based on actual load conditions and tenant requirements. The system monitors resource usage patterns and automatically scales allocation without fixed predetermined assignments. This dynamic approach optimizes resource utilization efficiency while the underlying automation reduces the operational complexity of managing such dynamic allocations.
4Reliability
If row-level security is implemented, then data access control is improved, but authentication mechanism complexity increases
Solution Approach 1:
The patent implements row-level security that applies different access control rules to different data rows based on tenant identity and permissions. Each tenant receives customized access rights to specific portions of the data, with security policies enforced at the individual row level rather than applying uniform controls. This localized security approach provides fine-grained access control while using standardized authentication mechanisms to manage complexity.
Data Source
AI summary
A system includes reception of a first request from a client application to create an application runtime associated with a tenant of the client application, creation, in response to the first request, of metadata describing configuration information of the application runtime, reception of a second request from the client application to start a session of the application runtime, starting, in response to the second request, of a first application runtime instance in a first container of a first virtual machine based on the configuration information of the application runtime, and return of first connection information to the client application, the first connection information usable by the client application to communicate with the first application runtime instance.