Pervasive Computing Nodes for Edge Latency Reduction
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Solution Overview
Problem
Current mobile communication technologies separate networking and computing functionalities, leading to long latency and increased development costs for applications like high-resolution video broadcasts and Augmented/Virtual Reality, as application-level business logic cannot be asserted near data generation points, and existing solutions like Over-The-Top applications and Multi-access Edge Computing do not provide comprehensive distributed computing capabilities.
Innovation Solution
The Pervasive Computing paradigm integrates computing capabilities throughout network communication paths by deploying Pervasive Computing nodes at various tiers of the network, providing Field Services and Foundation Services that allow application developers to focus on application-level logic without testing and deploying infrastructure-level services, leveraging nodes like base stations, MME, SGW, and SMF for data processing and storage.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of time
If computing functionalities are centralized in traditional data centers, then infrastructure management is simplified, but latency increases and computing capabilities cannot be provided close to data generation points
Solution Approach 1:
The patent segments computing infrastructure into distributed Pervasive Computing nodes deployed across multiple network tiers (access, aggregation, core). Each node independently provides computing capabilities locally, eliminating the need for centralized data center processing and reducing latency for edge applications.
Solution Approach 2:
The patent introduces a new spatial dimension for computing by deploying Pervasive Computing nodes throughout the network infrastructure rather than concentrating them in traditional data centers. This dimensional redistribution of computing resources enables proximity to data generation points while maintaining manageable complexity through standardized node architectures.
2Productivity
If application developers must deploy and test infrastructure-level services, then system control is enhanced, but development effort and time increase significantly
Solution Approach 1:
Pervasive Computing nodes automatically discover and invoke required infrastructure services (network, storage, virtualization) without requiring application developers to manually deploy or test them. The nodes self-configure by communicating with infrastructure components and obtaining necessary services autonomously.
Solution Approach 2:
The patent introduces Pervasive Computing nodes as intermediary components between application developers and infrastructure services. These nodes abstract infrastructure complexity by providing standardized interfaces and automatically handling service provisioning, allowing developers to focus solely on application logic.
3Speed
If computing capabilities are distributed throughout the network, then latency is reduced and real-time processing is enabled, but infrastructure complexity increases
Solution Approach 1:
Pervasive Computing nodes are designed as universal, multi-functional units that can be deployed at any network tier and provide consistent computing capabilities regardless of location. This standardization reduces infrastructure complexity despite widespread distribution, as each node performs multiple functions (computing, storage, networking) and interfaces uniformly with applications and infrastructure services.
Data Source
AI summary
Methods, systems, and devices related to the convergence of networking and computing capabilities are described. In one representative aspect, a method for application development is described. The method includes making available a first set of services for an application in a domain. The domain corresponds to an industry having a set of business rules, and the first set of services is structured to invoke a second set of services pre-deployed on a first set of communication nodes. The second set of services includes common functionalities according to the set of business rules in the domain. The method also includes deploying the first set of services on a second set of communication nodes to enable an execution of a subset of the business rules in the domain that is specific to the application.