Distributed QoS Control for Inter-Cluster Data Transmission
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Solution Overview
Problem
Current distributed storage systems face challenges in managing Quality of Service (QoS) parameters across inter-cluster data transmissions, particularly in ensuring efficient bandwidth allocation and latency management, as existing solutions typically enforce QoS policies at the edge-router level rather than at the individual node level.
Innovation Solution
Implementing distributed quality of service controls by establishing a control channel between nodes in a clustered distributed storage system, allowing for the communication of QoS policies and dynamic adjustments of bandwidth allocation across nodes, enabling precise control over data streams at the individual node-to-node level.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If QoS policies are enforced at the edge-router level, then QoS control is simplified and centralized, but bandwidth allocation precision and latency management deteriorate due to lack of node-level control
Solution Approach 1:
The patent segments the centralized QoS control into distributed node-level controls. Each node in the clustered distributed storage system independently enforces QoS policies, allocating bandwidth and managing latency locally rather than through a single edge router. This segmentation enables precise bandwidth allocation at each node while maintaining overall system-wide QoS compliance.
Solution Approach 2:
The patent implements local quality by allowing each node to independently adjust QoS parameters based on local conditions. Nodes can dynamically allocate bandwidth and manage data transmission rates according to their specific workload and network conditions, providing localized precision that centralized control cannot achieve.
2Device complexity
If QoS control is centralized at edge-router level, then system complexity is reduced, but latency management and bandwidth utilization efficiency worsen due to inability to perform real-time localized adjustments
Solution Approach 1:
The patent introduces dynamics by enabling nodes to continuously monitor and adjust QoS parameters in real-time based on changing network conditions and workload demands. This dynamic adaptation allows the system to respond immediately to latency issues and bandwidth constraints without waiting for centralized controller decisions, significantly reducing latency while maintaining manageable complexity through automated local decision-making.
3Manufacturing precision
If distributed node-level QoS control is implemented, then bandwidth allocation precision and latency management improve, but system complexity increases due to distributed control coordination
Solution Approach 1:
The patent applies self-service by enabling each node to autonomously enforce QoS policies and allocate bandwidth without requiring constant coordination with other nodes or a centralized controller. Nodes independently monitor their own performance metrics and adjust their data transmission rates accordingly, eliminating the need for complex inter-node coordination protocols while maintaining precise bandwidth allocation.
4Ease of manufacture
If conventional edge-router QoS enforcement is used, then implementation is straightforward, but bandwidth utilization and QoS performance deteriorate due to coarse-grained control
Solution Approach 1:
The patent segments the aggregate bandwidth control into fine-grained node-level controls. Each node independently manages its bandwidth allocation and data transmission rate, enabling precise control over individual data streams. This segmentation transforms coarse-grained edge-router control into fine-grained distributed control, dramatically improving bandwidth utilization while maintaining implementation feasibility through standardized node software.
Data Source
AI summary
Techniques for implementing distributed quality of service controls for data transmissions between clusters in a clustered distributed storage system are described. In one embodiment, a method of distributed quality of service control includes establishing a control channel between a first plurality of nodes associated with a first cluster. The method also includes setting a quality of service (QoS) policy for the first plurality of nodes that establishes a QoS parameter for data transmitted over a shared network from the first cluster to a second cluster. The method further includes communicating messages between the first plurality of nodes over the control channel to signal an allocated portion of the QoS parameter for each node. The method also includes transmitting data by the first plurality of nodes of the first cluster to a second plurality of nodes of the second cluster over the shared network according to the allocated portion.