Resource Control Devices for Workflow Stage Management
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Solution Overview
Problem
Computing resources in data centers are often limited, leading to inefficiencies in workflow processing as multiple server computing devices compete for access, resulting in potential overloading and reduced productivity.
Innovation Solution
Implementing a resource control system where each computing resource is monitored by a resource control device that manages access, allowing server computing devices to request access and adjust processing states based on availability, with proxy control devices assisting in overload management by forwarding requests and reducing communication load on resource control devices.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If multiple server computing devices compete for access to limited computing resources, then resource utilization increases, but system overloading and workflow processing delays occur
Solution Approach 1:
The system divides the resource management function into separate resource control devices, each responsible for specific computing resources. This segmentation allows independent monitoring and control of different resources, preventing bottlenecking and enabling parallel workflow processing without system-wide overloading.
Solution Approach 2:
The resource control device monitors resource availability in advance and proactively manages workflow stages before resource shortages occur. By predicting resource needs and pre-adjusting workflow processing states, the system prevents overloading and maintains continuous productivity.
2Reliability
If server computing devices continuously monitor resource availability, then access control accuracy improves, but communication overhead and power consumption increase
Solution Approach 1:
The system implements unidirectional feedback where resource control devices send availability information to server computing devices without requiring continuous bidirectional communication. Server devices respond only when needed, reducing communication overhead while maintaining accurate resource access control through periodic status updates.
Solution Approach 2:
Instead of continuous monitoring, the system uses periodic status updates from resource control devices. Servers check resource availability at scheduled intervals rather than continuously, significantly reducing power consumption while maintaining reliable access control through consistent periodic information exchange.
3Extent of automation
If resource control devices manage all access requests directly, then centralization control improves, but system complexity and communication load increase
Solution Approach 1:
The system introduces proxy control devices as intermediaries between server computing devices and resource control devices. These proxies handle local access requests and forward only essential information to central control devices, reducing communication load while maintaining centralized automation control through hierarchical architecture.
Solution Approach 2:
The control system is segmented into multiple levels: local proxy control devices for immediate request handling and central resource control devices for coordination. This segmentation distributes computational complexity across hierarchical layers, reducing the burden on any single device while maintaining centralized automation.
Data Source
AI summary
Systems and method for the management of resource dependent workflows are provided. One or more resource control devices monitor usage of a computing resource by server computing devices. Each resource control device may direct a server computing device to proceed with a workflow or to pause processing a workflow. A resource control device may further direct a server computing device to take resource conserving actions. When a computing resource is determined to be available, a resource control device may direct a paused server computing device to resume a workflow.