Decentralized Dynamic Component Placement in Event Processing Networks
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Solution Overview
Problem
Current component placement algorithms in event-driven component-oriented network data processing systems are not effective in dynamically adapting to changes in function, infrastructure, and performance, as they often require centralized control and do not account for dynamic changes such as additions/deletions of producers/consumers, changes in message rates, and server availability.
Innovation Solution
A decentralized method using biologically-inspired algorithms, where routing probes and scouting probes identify optimal paths and component placements without a global state or centralized controller, continuously updating routing tables and component placements to minimize performance costs and maintain optimal latency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of manufacture
If static centralized placement algorithms are used, then implementation simplicity is improved, but adaptability to dynamic changes deteriorates
Solution Approach 1:
The patent transforms the static component placement problem into a dynamic one by introducing runtime adaptation mechanisms. Components can be relocated automatically in response to changing system conditions such as varying data rates, network topology changes, and load fluctuations. The system continuously monitors performance metrics and adjusts placements dynamically, resolving the contradiction between implementation simplicity and adaptability to dynamic changes.
Solution Approach 2:
The system implements self-service through autonomous decision-making at each network node. Instead of relying on a centralized controller to make all placement decisions, each node independently evaluates its local conditions and makes placement decisions based on predefined policies and performance feedback. This decentralized approach maintains adaptability while simplifying implementation by eliminating complex centralized coordination.
2Stability of the object's composition
If centralized controllers are used for component placement, then coordination is improved, but system complexity deteriorates
Solution Approach 1:
The patent segments the centralized control function into distributed decision-making units at each network node. Instead of a single centralized controller managing all placements, each node independently handles its own component placement decisions based on local conditions and global performance objectives. This segmentation reduces system complexity by eliminating the need for a complex centralized control mechanism while maintaining coordination through shared performance metrics and policies.
Solution Approach 2:
The system introduces performance metrics and placement policies as intermediaries that facilitate coordination without requiring direct centralized control. These intermediaries translate global optimization goals into local decision-making rules, allowing nodes to coordinate their actions independently while still achieving system-wide optimization. This reduces the complexity of direct centralized coordination.
3Productivity
If component placement is optimized for minimum latency, then performance is improved, but responsiveness to changes deteriorates
Solution Approach 1:
The patent implements continuous feedback loops that monitor system performance metrics such as latency, data rates, and load conditions. This feedback information is used to dynamically adjust component placements in response to changing conditions. The feedback mechanism ensures that the system maintains optimal performance while being highly responsive to changes, as placements are continuously refined based on real-time performance data.
Solution Approach 2:
The system employs periodic re-evaluation of component placements at scheduled intervals or triggered by significant condition changes. This periodic action allows the system to maintain optimized placements during stable conditions while quickly adapting when changes occur. The periodic reassessment ensures both high performance during stable operation and responsiveness to changes when they occur.
Data Source
AI summary
Method, system and computer usable program code for dynamic component placement in an event processing system having producers, consumers, a plurality of nodes between the producers and the consumers, and a flow graph representing computational components to be executed between the producers and the consumers. A description of a change to the system is received. At each node, next-hop neighbor nodes for each consumer are identified. A routing value is assigned to each next-hop neighbor node for each consumer. Using the routing values in a context of the change, a performance cost of the system is estimated based on hypothetical changed placements of the computational components at nodes along paths from a producer to a consumer through the next-hop neighbor nodes for each consumer, and a changed placement of the computational components that minimizes performance cost of the system relative to the hypothetical changed placements is selected.