Isolated Read Channels for Data Stream Workload Management
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Solution Overview
Problem
The management and orchestration of large, dynamically fluctuating streams of data pose challenges due to workload imbalances, resource underutilization, and failures in distributed systems, which can lead to performance issues and costly disruptions.
Innovation Solution
A data stream management service (SMS) is implemented with customizable read scalability and isolation features, using dynamically provisioned resources and isolated read channels (IRCs) to manage workload distribution, ensure resource allocation, and handle failures, allowing for real-time and non-real-time data processing needs.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If more 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 and creates isolated read channels for different applications. Each partition can be independently managed and scaled, allowing workloads to be distributed evenly across resources while maintaining consistent performance. The segmentation of read operations into isolated channels prevents workload imbalances between different applications.
2Reliability
If resources are increased to meet peak demand, then service availability improves, but resource underutilization occurs during low demand
Solution Approach 1:
The patent implements dynamic resource provisioning where isolated read channels can be independently scaled and adjusted based on actual demand. Resources are allocated dynamically to match workload requirements, allowing the system to maintain high service availability during peak demand while reducing resource consumption during low demand periods. This dynamic approach eliminates the need for over-provisioning resources to handle maximum capacity continuously.
3Speed
If read operations are allowed to access data freely, then data access speed improves, but workload interference between applications increases
Solution Approach 1:
The patent segments read operations into isolated read channels, where each channel operates independently with its own resource allocation. This segmentation allows each application to access data at high speed without interference from other applications, while the system manages workload complexity through automated channel isolation and independent resource control for each segment.
4Productivity
If distributed system size increases to handle more data, then processing capability improves, but failure frequency increases
Solution Approach 1:
The patent implements fault isolation through separated read channels, where failures in one channel do not propagate to other channels. This beforehand cushioning approach prepares the system by creating independent failure boundaries, allowing the distributed system to scale in size and processing capability while maintaining reliability through contained failure domains that prevent cascading failures.
Data Source
AI summary
At a data stream management service, a first set of metadata indicating that a first isolated read channel has been associated with a first data stream is stored. The first isolated read channel has an associated read performance limit setting. A second set of metadata indicating that a second isolated read channel, with its own performance limit setting, has been associated with a data stream is also stored. Based on determining that the difference between a metric of read operations associated with the first channel and the read performance limit setting of the first channel meets a first criterion, the service initiates a throttling operation for reads associated with the first channel. The throttling decision is made independently of read metrics of the second channel.