Cluster Management via Loop Ribbon Topology
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Solution Overview
Problem
Cloud computing scenarios face complexity in managing node clusters and job distribution, particularly due to centralized manager nodes causing bottlenecks and reducing cluster performance, and existing solutions either incur high communication costs or are difficult to scale with large numbers of nodes.
Innovation Solution
Organizing computing nodes into loops with unidirectional communication and forming ribbons to create a scalable, self-healing cluster management protocol that avoids bottlenecks and single points of failure, allowing for dynamic adjustment of node connections and task distribution without locking resources.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If a centralized manager node is used to manage cluster and job distribution, then management control is improved, but system bottleneck and reduced cluster performance occur
Solution Approach 1:
The patent divides the centralized management function into distributed loop structures where nodes are organized in hierarchical loops (global loop, service loops, worker loops). Each loop operates semi-autonomously to manage tasks within its scope, eliminating the single-point bottleneck while maintaining coordinated control through the hierarchical structure.
2Productivity
If existing cluster management solutions are implemented, then task distribution is achieved, but high communication costs are incurred
Solution Approach 1:
The patent introduces a hierarchical loop structure that adds dimensional organization to task distribution. Tasks are routed through hierarchical levels (global loop → service loops → worker loops) rather than requiring all-to-all communication. This dimensional hierarchy reduces communication overhead by confining communications to relevant loop levels and preventing unnecessary cross-node messaging.
3Productivity
If existing cluster management solutions are implemented, then task distribution is achieved, but scalability with large numbers of nodes is difficult
Solution Approach 1:
The patent implements dynamic loop formation and node joining capabilities. Nodes can dynamically join or leave loops without requiring complete system reconfiguration. The hierarchical loop structure adapts to changing node counts by creating additional service loops or redistributing workloads across existing loops, enabling seamless scaling from small to large clusters.
4Productivity
If traditional task assignment protocols are used, then task execution is achieved, but conflicts and deadlocks occur
Solution Approach 1:
The patent implements preliminary conflict detection through the unidirectional communication protocol in loops. Before a node executes a task, the task request circulates through the loop structure allowing other nodes to detect potential conflicts and signal back. This preliminary detection mechanism prevents deadlocks by identifying resource conflicts before task execution begins, ensuring reliable task completion.
Data Source
AI summary
Techniques and solutions are described for providing high-availability computing resources to service client requests. Groups of computing nodes are organized into loops, a given loop being configured to execute a particular subset of tasks, such as tasks with a hash value in a particular ranged serviced by a loop. Computing nodes within a loop can evaluate a task request to determine whether the task request conflicts with another task currently assigned to a node. If a computing node which sent out a task request determines that no conflict was identified, it can execute the task request. Communications within a loop can occur unidirectionally, such that a node which initiated a communication will receive the communication from the last loop node. Loops can be connected to form a ribbon, the ribbon providing a namespace for task execution, where hash ranges for the namespace are uniquely assigned to loops of the ribbon.