Isolated Read Channels for Balanced Distributed Stream Processing
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
The management and orchestration of large, dynamically fluctuating streams of data in distributed systems is challenging due to workload imbalances, performance issues, and resource underutilization, as well as the need to address different processing requirements and frequent failures in virtualized computing and storage environments.
Innovation Solution
A data stream management service (SMS) implements isolated read channels (IRCs) with configurable performance limits and storage configurations to meet diverse application needs, supports multiple categories of IRCs, and employs techniques like proactive migration and partition reconfiguration to ensure resource allocation and catch-up mechanisms for lagging applications.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If resources are added to handle large streams of data, then system capacity increases, but workload imbalances and performance problems arise
Solution Approach 1:
The patent segments the data stream into multiple partitions that can be independently processed by different consumer groups. This allows workload distribution across multiple resources while maintaining balance, as each partition can be assigned to specific consumers based on their processing capabilities and current load status.
Solution Approach 2:
The patent implements dynamic resource allocation where consumer groups can be reassigned to different partitions based on real-time performance metrics and workload conditions. This dynamic adjustment prevents performance imbalances by automatically redistributing work when certain consumers become bottlenecks or underutilized.
2Quantity of substance
If resources are added to handle large streams of data, then system capacity increases, but resource underutilization occurs
Solution Approach 1:
The patent creates consumer groups that can be dynamically assigned to different partitions, allowing the same consumer resources to serve multiple functions across different data streams and partitions. This multi-functionality increases overall resource utilization as consumers can be reassigned based on demand rather than being dedicated to single partitions.
Solution Approach 2:
The system dynamically adjusts consumer group assignments to partitions based on real-time metrics, ensuring that resources are actively utilized where needed. This dynamic reassignment prevents resource underutilization by continuously optimizing the match between consumer capabilities and partition workloads.
3Adaptability or versatility
If different processing speeds are allowed for different applications, then application-specific performance needs are met, but system complexity increases
Solution Approach 1:
The patent applies different processing characteristics to different consumer groups based on their specific application needs. Each consumer group can be configured with appropriate processing parameters for its specific use case (e.g., real-time processing for monitoring, batch processing for analytics), allowing local optimization without requiring complex system-wide configuration.
Solution Approach 2:
By segmenting consumers into distinct consumer groups that can be independently configured and assigned to partitions, the system manages complexity through modular organization. Each consumer group operates with its own processing characteristics, and the segmentation allows independent management of each group's performance parameters.
4Adaptability or versatility
If isolated read channels are implemented for different applications, then application performance requirements are met, but system overhead increases
Solution Approach 1:
The patent segments the consumer access model into consumer groups that can be independently configured and assigned to specific partitions. This segmentation provides performance isolation similar to isolated read channels, as each consumer group operates independently with its own assignment and processing characteristics, reducing interference between different applications.
Solution Approach 2:
The consumer group mechanism serves multiple functions: it provides performance isolation, enables dynamic resource allocation, supports different processing speeds, and allows flexible assignment. This multi-functionality achieves the benefits of isolated read channels while reducing system overhead by using a unified mechanism for multiple purposes.
Data Source
AI summary
In response to a first programmatic request, metadata indicating that a first isolated read channel of a real-time category has been associated with a first target stream is stored at a stream management service. In response to another request, metadata indicating that a second isolated read channel of a non-real-time category has been associated with a second target stream is stored. In response to a read request indicating the first channel or the second channel, one or more data records of the corresponding target streams are provided.