PEaaS Interface for Asynchronous Policy Enforcement
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Solution Overview
Problem
Multi-tenant database systems face service disruptions due to users consuming excessive resources, leading to system overload and degradation, as existing solutions lack effective mechanisms to enforce resource protection policies across distributed platforms.
Innovation Solution
The implementation of Policy Enforcement as a Service (PEaaS) tracks user infractions and issues suspensions based on customer-defined policies, utilizing a PEaaS interface to monitor usage metrics and enforce resource restrictions across distributed systems, preventing overload and ensuring service availability.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If users are allowed to access shared database resources freely, then system usability and accessibility are improved, but service disruptions and system overload occur due to excessive resource consumption
Solution Approach 1:
The patent introduces a policy enforcement service (PEaaS) as an intermediary layer between users and the shared database system. This service monitors resource consumption, enforces usage policies, and manages user suspensions automatically, thereby protecting service availability while maintaining ease of access for legitimate users.
Solution Approach 2:
The system implements continuous monitoring of resource consumption metrics and provides feedback through policy enforcement. When threshold violations are detected, the system automatically suspends offending users and notifies them of policy violations, creating a closed-loop control mechanism that prevents service disruption while maintaining open access.
2Reliability
If resource consumption monitoring and user suspension mechanisms are implemented, then service reliability is improved, but system complexity increases due to additional enforcement infrastructure
Solution Approach 1:
The policy enforcement service is designed as a universal, multi-functional component that handles monitoring, policy evaluation, user suspension, and notification within a single integrated system. This consolidates multiple functions into one service, reducing overall system complexity while maintaining high reliability through centralized policy management.
3Measurement precision
If real-time monitoring of usage metrics is performed, then detection precision of resource abuse is improved, but processing overhead and system performance degradation occur
Solution Approach 1:
The system implements partial monitoring by focusing only on critical resource metrics and threshold-based detection rather than comprehensive real-time analysis of all user activities. This selective monitoring approach maintains high detection precision for policy violations while minimizing processing overhead and preserving system productivity.
Data Source
AI summary
Systems, methods, and computer-readable media for providing a Policy Enforcement as a Service (PEaaS) are described. A processing device may collect set(s) of policy parameter values from one or more third party platforms, respectively, by communication with remote interface(s) employed on the one or more third party platforms, respectively; each set of policy parameter values defines a threshold for issuing a user suspension for a service provided by a respective one of the third party platforms; collect one or more sets of usage metrics for the one or more services from the one or more third party platforms, respectively, by communication with the remote interface(s); the communication with the remote interface(s) to collect the sets of usage metric(s) is asynchronous with communications by which the remote interface(s) received the usage metrics. Other embodiments may be described and/or claimed.