Compute Cluster Node Transfer for Resilient Ubiquitous Computing
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Solution Overview
Problem
Existing wireless network technologies lack efficient mechanisms for forming and managing compute clusters among devices to optimize computing tasks while preserving user privacy and ensuring seamless communication and resilience.
Innovation Solution
A system architecture that enables the formation of compute clusters by integrating Distributed Computing Management Function (DCMF) and Distributed Computing Agents (DCAs) within wireless networks, allowing devices to form clusters with control and processing nodes, and utilizing mesh networks for topological resilience and node switching.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Power
If devices form compute clusters in wireless networks, then computing power and task distribution are improved, but device complexity and management overhead increase
Solution Approach 1:
The patent segments the compute cluster into distinct functional components: control nodes that manage cluster operations and processing nodes that execute computational tasks. This segmentation allows complex computing tasks to be distributed across multiple specialized devices, improving overall computing power while managing complexity through clear role differentiation. The control node handles coordination, resource allocation, and fault tolerance, while processing nodes focus on execution.
Solution Approach 2:
The patent introduces control nodes as intermediary entities that mediate between the wireless network and processing nodes. These control nodes manage cluster formation, task distribution, and node coordination, thereby reducing the management overhead on individual devices while enabling scalable compute clusters. The intermediary layer abstracts the complexity of cluster management from the processing nodes.
2Reliability
If nodes switch and clusters reconfigure dynamically, then resilience and seamless communication are improved, but system stability and coordination difficulty worsen
Solution Approach 1:
The patent implements dynamic node switching and cluster reconfiguration capabilities where processing nodes can join or leave the cluster without disrupting overall operations. Control nodes manage these transitions by redistributing tasks and updating cluster membership, enabling resilience against node failures while maintaining system functionality. The dynamic nature allows the cluster to adapt to changing network conditions and device availability.
Solution Approach 2:
The patent incorporates feedback mechanisms where control nodes monitor the status of processing nodes and automatically trigger reconfiguration events when nodes fail or join. This feedback-driven approach maintains system stability during dynamic changes by detecting node status changes and coordinating appropriate responses, thereby balancing resilience with coordination complexity.
3Productivity
If computing tasks are distributed across multiple devices, then productivity and computing efficiency are improved, but communication overhead and network traffic increase
Solution Approach 1:
The patent segments computational tasks into smaller units that can be distributed across multiple processing nodes in the cluster. This task segmentation improves productivity by enabling parallel processing of workloads while managing network traffic through efficient task distribution protocols. The control node divides large computing tasks into manageable chunks and assigns them to appropriate processing nodes based on available resources.
Data Source
AI summary
The present application relates to devices and components including apparatus, systems, and methods for ubiquitous computing.