Dispenser Isolate Throttles Resource Requests
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Solution Overview
Problem
Conventional resource management within operating system environments is limited, making it difficult to meet performance requirements and address tasks like load balancing and denial of service attacks, especially when using safe languages that lack features of traditional operating systems and lack a standard, programmatic way to manage resources outside of the OS environment.
Innovation Solution
Implementing a mechanism that throttles resource consumption by using a dispenser isolate to manage resource requests, separating resource consumption rate control from consumers and resources, allowing for efficient fabrication of consume rate controls without being tied to specific details of consumers or resources, and utilizing isolates to manage resource requests and policies independently of resource implementation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If conventional operating system resource management is used, then resource management is handled by the OS environment, but resource management policies are limited by OS constraints and require native/proprietary code
Solution Approach 1:
The patent introduces a safe language runtime environment as an intermediary layer between application code and the operating system. This mediator provides standardized resource management APIs that allow high-level policy expression without requiring direct OS interactions, thus improving flexibility while reducing code complexity
Solution Approach 2:
The patent segments resource management functionality into distinct components: resource requesters, resource managers, and resource providers. Each component has a specific responsibility, allowing policies to be defined and enforced independently at the manager level without affecting other parts of the system
2Reliability
If safe languages are used to implement computing platforms, then untrusted program components can interact safely, but safe languages lack operating system features and lack standard programmatic resource management
Solution Approach 1:
The patent creates a universal resource management framework that works across different resource types (CPU, memory, network, etc.) and different application domains. The standardized APIs and policy mechanisms provide both safety through controlled access and versatility through broad applicability to various resource management scenarios
3Ease of operation
If resource consumption rate control is implemented, then resource manageability is improved, but a mechanism is needed to separate rate control from consumers and resources
Solution Approach 1:
The patent introduces a rate control mechanism as an intermediary that sits between resource consumers and resources. This mediator monitors and regulates resource consumption rates without requiring changes to the consumers or resources themselves, simplifying the overall system while improving manageability
4Productivity
If traditional operating system resource management is used, then resource management is handled natively, but it is difficult to meet performance requirements and satisfy tasks like load balancing
Solution Approach 1:
The patent implements dynamic resource management policies that can adapt to changing system conditions and requirements. The framework supports runtime policy modification, dynamic resource allocation, and adaptive load balancing, enabling the system to meet performance requirements and satisfy diverse tasks that static OS-level management cannot address
Data Source
AI summary
Controlling rate of resource consumptions improves manageability of resources in relation to the entities consuming the resource. A consumer's resource consumption behavior can be controlled with a mechanism that throttles its resource requests to conform to a threshold rate, such as a resource consumption rate. A set of one or more computations tracks a consumption measurement variable over a given time interval, such as number of resource requests for a given resource within the last 5 seconds. When a resource request is received, the set of computations determine whether servicing the resource request would exceed the threshold rate. If the threshold rate would be exceeded, then the computations sleep until servicing the resource request would not exceed the threshold rate.