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InfoSys 2025 Congress March 09, 2025 to March 13, 2025 - Lisbon, Portugal
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IARIA Congress 2025, The 2025 IARIA Annual Congress on Frontiers in Science, Technology, Services, and Applications July 06, 2025 to July 10, 2025 - Athens, Greece
DigiTech 2025 Congress July 06, 2025 to July 10, 2025 - Athens, Greece
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NetWare 2025 Congress October 26, 2025 to October 30, 2025 - Barcelona, Spain
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- FASSI 2025, The Eleventh International Conference on Fundamentals and Advances in Software Systems Integration
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TechWorld 2025 Congress October 26, 2025 to October 30, 2025 - Barcelona, Spain
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ThinkMind // ADAPTIVE 2024, The Sixteenth International Conference on Adaptive and Self-Adaptive Systems and Applications // View article adaptive_2024_1_10_50002
Agent-based Modeling in the Edge Continuum using Swarm Intelligence
Authors: Melanie Schranz Kseniia Harshina Peter Forgacs Fred Buining Keywords: Swarm Intelligence, Bio-inspired Algorithm, Edge Continuum, Agent-Based Modeling Abstract: The edge continuum presents a dynamic and evolving paradigm in the future's world of computing, offering a versatile and efficient solution for a wide range of applications and industries. The edge infrastructure is more challenged in its stability and performance because of more stringent latency and autonomy requirements, distribution across multiple sites, their local limited size, multi-tenancy and multi-operators, local management, with components being concurrent and asynchronous. This paper introduces an innovative framework that combines agent-based modeling and swarm intelligence to address complex challenges such as resource allocation, workload scheduling, and data management in the edge continuum. This framework, at the core of the architecture, enhances edge autonomy, reduces latency, improves energy efficiency, and optimizes cloud connectivity by applying agent-based modeling. By integrating autopoietic characteristics like self-organization, regeneration, and regulation, the system dynamically adapts to changing conditions. Two candidate algorithms, the hormone algorithm and ant algorithm, emulate decentralized decision-making processes observed in nature. The paper reviews related work in swarm intelligence for network optimization and emphasizes the need for distributed, agent-based solutions. This research paves the way for robust, adaptive, and scalable systems in the complex edge environment, promising emergent behaviors and enhanced efficiency. In this position paper, we propose the edge continuum with its characteristics and limitations as a novel field of application for swarm intelligence by conceptually proposing agent-based modeling and simulation. Pages: 1 to 7 Copyright: Copyright (c) IARIA, 2024 Publication date: April 14, 2024 Published in: conference ISSN: 2308-4146 ISBN: 978-1-68558-153-4 Location: Venice, Italy Dates: from April 14, 2024 to April 18, 2024
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