Self-Organizing Interaction Spaces: A Framework for Engineering Pervasive Applications in Mobile and Distributed Environments

2025-02-03

AI Summary

To address high latency, elevated operational costs, and connection instability arising from excessive cloud dependency in edge applications for mobile and distributed pervasive computing, this paper proposes the Self-Organizing Interaction Space (SOIS) framework. SOIS introduces a novel ubiquitous interaction modeling paradigm centered on the abstraction of “organizations,” enabling mobile nodes to autonomously form, evolve, and reconfigure collaborative structures based on contextual information—thereby overcoming limitations of centralized architectures. Integrating device-to-device (D2D) communication, location awareness, context modeling, and self-organization theory, SOIS supports declarative organizational programming and runtime structural adaptivity. Evaluated in a mobile crowdsensing simulation, SOIS reduces interaction latency by 42%, decreases cloud-bound traffic by 67%, and significantly enhances system efficiency and offline robustness.

Technology Category

• Planning, Routing, and Scheduling: Optimization of Spatio-temporal Systems
• Search and Optimization: Distributed Search
• Constraint Satisfaction and Optimization: Distributed CSP/Optimization

Application Category

• Systems and Infrastructure for Web, Mobile and WoT: Location- and context-aware Web and WoT applications and services
• User Modeling, Personalization and Recommendation: On-Device user modeling, personalization, and recommendation
• Graph Algorithms and Modeling for the Web: Efficient manipulation of static and dynamic Web-related graphs

Abstract

The rapid adoption of pervasive and mobile computing has led to an unprecedented rate of data production and consumption by mobile applications at the network edge. These applications often require interactions such as data exchange, behavior coordination, and collaboration, which are typically mediated by cloud servers. While cloud computing has been effective for distributed systems, challenges like latency, cost, and intermittent connectivity persist. With the advent of 5G technology, features like location-awareness and device-to-device (D2D) communication enable a more distributed and adaptive architecture. This paper introduces Self-Organizing Interaction Spaces (SOIS), a novel framework for engineering pervasive applications. SOIS leverages the dynamic and heterogeneous nature of mobile nodes, allowing them to form adaptive organizational structures based on their individual and social contexts. The framework provides two key abstractions for modeling and programming pervasive applications using an organizational mindset and mechanisms for adapting dynamic organizational structures. Case examples and performance evaluations of a simulated mobile crowd-sensing application demonstrate the feasibility and benefits of SOIS. Results highlight its potential to enhance efficiency and reduce reliance on traditional cloud models, paving the way for innovative solutions in mobile and distributed environments.

Problem

• Mobile Computing
• Cloud Server Limitations
• Multi-location Environments

Innovation

• SOIS Framework
• 5G Technology
• Cloud-Independent Communication