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distributed computing

GeneTech 知识引擎共收录 1288 篇相关科研实体，横跨 30 个垂直领域。数据来自 OpenAlex、arXiv、Crossref、PubMed、Europe PMC 等公开学术源，全部可溯源到原文。

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代表性文献（按质量分排序，前 60 条）

• Intelligent Service Chain Orchestration and Resource Allocation in End-Edge Collaborative IIoT Using Multi-Agent Proximal Policy Optimization.
  2026 · AI Agent 生态 · The massive heterogeneous data streams and stringent low-latency requirements in the Industrial Internet of Things (IIoT) pose new challenges for edge network resource management. This paper addresses the joint optimizat…
• An Innovative Process Chain for Precision Agriculture Services
  2025 · 智慧农业 · In this research, an innovative design is set up for regular provision of precision agriculture services, within the framework of fertilization consultancy. The central node of the chain is a geographic information syste…
• GNN-Based Multi-Agent DRL for Energy-Efficient Multi-Domain 6G Resource Orchestration
  2026 · AI Agent 生态 · The rapid evolution towards 6G networks introduces new challenges in orchestrating services across distributed domains while ensuring sustainability goals, such as energy efficiency. Traditional scaling strategies focus …
• Multi-Agent Transfer Learning Based on Evolutionary Algorithms and Dynamic Grid Structures for Industrial Applications
  2026 · AI Agent 生态 · Distributed production systems have to increasingly balance economic goals such as energy efficiency and productivity with critical technical requirements such as flexibility, real-time capability, and reliability. This …
• AI NEXUS 910+: A MULTI-AGENT ORCHESTRATED UNIFIED AI TOOL PLATFORM WITH WORKFLOW AUTOMATION
  2026 · AI Agent 生态 · There are now a large number of specialized AI technologies, used in silos to create fragmented workflows with high operational overhead. Content generation, analytics, automation, communication organizations and individ…
• Accelerating Smart City Resiliency: AI-Agent Approach to Isotope Detection Development
  2026 · AI Agent 生态 · Urban resilience requires rapid deployment of monitoring systems capable of detecting radiological threats in transport networks without disrupting normal operations. This paper presents a multi-agent AI framework design…
• AI-Based Intrusion Detection System for Cloud Networks
  2026 · AI Agent 生态 · Increasing the cloud usage, along with wide usage of cloud environment it is expanding the attack surface of network systems, detection of intrusion is crucial for safeguarding the data. It is emerged to introduce an int…
• Hierarchical Multi-Agent Deep Reinforcement Learning for Resilient Resource Orchestration in SDN-Enabled Fog-Edge Computing: A Lyapunov-Guided Primal-Dual Framework
  2026 · AI Agent 生态 · The convergence of software-defined networking (SDN) with fog-edge computing has unlocked unprecedented opportunities for ultra-low-latency distributed intelligence. However, existing resource orchestration mechanisms su…
• A Hierarchical Multi-Agent Deep Reinforcement Learning Framework for Resilient and QoS-Aware Resource Orchestration in SDN-Enabled Fog-Edge Computing with Lyapunov and Primal-Dual Optimization
  2026 · AI Agent 生态 · The emergence of latency-critical and computationally intensive applications-such as autonomous driving, industrial digital twins, remote surgery, and immersive multimedia-has exposed the inadequacy of conventional cloud…
• Process-Informed Multi-Agent Reinforcement Learning for Joint Radio-Compute Orchestration in Industrial O-RAN
  2026 · AI Agent 生态 · Industrial open radio access network (O-RAN) systems must support manufacturing workloads with dynamically varying communication and computation demands driven by production processes. Existing O-RAN orchestration mechan…
• PAF-DMAO: A Privacy-Aware Federated Diffusion Framework for Multi-Agent Resource Orchestration in 6G NTN-V2X Networks
  2026 · AI Agent 生态 · The convergence of non-terrestrial networks (NTNs) and vehicle-to-everything (V2X) communications is emerging as a key enabler of AI-native 6G intelligent transportation systems, providing seamless connectivity across ur…
• HARMONIC: Hierarchical Adaptive Resilience via Multi-agent Orchestration in Networked Intelligent Computing for SDN-Enhanced Fog-Edge Systems
  2026 · AI Agent 生态 · The rapid proliferation of ultra-low-latency distributed services-ranging from autonomous driving and industrial metaverse to real-time telemedicine-has exposed critical shortcomings in conventional cloud-centric resourc…
• Federated Multi-Agent Deep Reinforcement Learning for Task Offloading and Resource Allocation in Multi-WBAN MEC Systems
  2025 · AI Agent 生态 · Wireless Body Area Network applications demand reliable, low-latency task processing while operating under stringent energy and deadline constraints. Although mobile devices have achieved significant computational advanc…
• AI-Enhanced Security Architecture for 6G Networks: A Federated Learning and Multi-Agent Approach
  2025 · AI Agent 生态 · The coming 6G network is expected to provide better connectivity and network performance but will generate new security challenges. In this paper, we demonstrate a novel technological solution to address the security cha…
• Agent-based Military Engagement Simulation System Architecture with Implementation
  2025 · AI Agent 生态 · Presented in this paper is architecture of a simulation system for the military engagement. The architecture proposed in this paper is for the construction of a simulation system based on agent simulation design methodol…
• Multi-Operating System and Multi-Database Detection Based on Multi-Agent Reinforcement Learning in a Distributed Environment
  2025 · AI Agent 生态 · The rapid development of information technology has made multi-operating system and multi-database detection in distributed environments a focal point for academic and industrial communities. Distributed systems enhance …
• Federated heterogeneous multi-agent deep reinforcement learning-based attack resilience scheduling for heterogeneous multi-integrated energy system
  2025 · AI Agent 生态 · The increasing scale of heterogeneous multi-integrated energy system (MIES) exposes critical limitations in conventional scheduling methods, particularly regarding privacy preservation, coordination of heterogeneous syst…
• A Multi-Agent System Framework for Managing Distributed Energy Resources (DERs)
  2025 · AI Agent 生态 · In this paper, we propose a multi-tiered framework for controlling distributed energy resources (DERs) such as elastic and non-elastic loads, electric vehicles (EV s), and Battery Energy Storage Systems (BESS). These res…
• Self-Organizing Multi-Agent Collaborative Decision-Making System
  2025 · AI Agent 生态 · In the context of smart agriculture, the use of self-organizing computing systems becomes essential for optimizing monitoring and control processes. This study proposes a decision-making system based on a multi-agent arc…
• Adaptive Event-Triggered Consensus for Unknown Nonlinear Multi-Agent Systems with Limited Bandwidth
  2025 · AI Agent 生态 · This paper proposes an adaptive event-triggered consensus control framework for multi-agent systems (MASs) with unknown nonlinear dynamics and limited communication bandwidth. First, an observer-based radial basis functi…
• A Distributed Task Offloading Strategy Based on Multi-Agent Systems in Mobile Edge Computing
  2025 · AI Agent 生态 · With the rapid development of smart applications and mobile communication technologies, mobile edge computing (MEC) has made significant progress. However, the increase in the number of terminal devices and the growing c…
• Multi-Agent System for Solving the Vehicle Routing Problem: A Hybrid Metaheuristic Approach
  2025 · AI Agent 生态 · This paper introduces a novel Multi-Agent System (MAS) designed to solve the Vehicle Routing Problem (VRP), a well-known optimization challenge in logistics. The proposed MAS integrates seven established metaheuristics—G…
• Multi-agent Scheduling with Multi-stage Training for Mutual Assistance between Distributed Sustainable Energy and Flexible Loads
  2025 · AI Agent 生态 · The integration of large-scale distributed renewable energy sources has brought tremendous operational pressure on the power grid. Coordinating these distributed renewable energy sources with adjustable resources in dist…
• Multi-agent Deep Reinforcement Learning-based Method for Active Distribution Network Optimal Power Flow
  2025 · AI Agent 生态 · With the large-scale integration of renewable energy generation and distributed energy resources (DERs), modern power systems face numerous new challenges, such as the intermittency of renewable energy output and the non…
• Multi-Agent Reinforcement Learning-based Two-stage Coordinated Scheduling and Operation Optimization
  2025 · AI Agent 生态 · As the randomness and intermittency brought by the increasing renewable energy sources and emerging loads intensify, traditional scheduling plans and intraday dispatch methods struggle to fully address the source and loa…
• Reinforced Fairness-Aware Multi-Agent Self-Organization for 6G Radio Access Network Orchestration
  2025 · AI Agent 生态 · The orchestrators’ deployment problem presents numerous challenges in 6G Network Radio Access Networks due to their large-scale, dynamic conditions, and variable user demands. Most works propose single- or hierarchical-o…
• Multi-Agent Resource Orchestration Based on D3QN for Network Slicing in 5G Edge-Cloud Networks
  2025 · AI Agent 生态 · Optimizing resource orchestration in network slicing is essential for the performance of diverse applications in 5G edge-cloud networks. This paper introduces a novel approach utilizing multi-agent reinforcement learning…
• Beyond Cryptocurrencies: Exploring Blockchain Consensus for Swarm Robotics Applications; A Review
  2025 · 智慧农业 · Abstract In the current information superhighway epoch, consensus algorithms are playing a very important role in dynamic and rapidly evolving network technologies like blockchain, IoT systems and swarm robotics network …
• Multi-Agent Deep Reinforcement Learning Framework for Renewable Energy-Aware Workflow Scheduling on Distributed Cloud Data Centers
  2024 · AI Agent 生态 · The ever-increasing demand for the cloud computing paradigm has resulted in the widespread deployment of multiple datacenters, the operations of which consume very high levels of energy. The carbon footprint resulting fr…
• ChainStream: A Stream-based LLM Agent Framework for Continuous Context Sensing and Sharing
  2024 · AI Agent 生态 · This paper introduces ChainStream, an LLM-based framework for building and serving context-aware AI agents. Driven by the goal to enable context awareness of LLM agents and flexible information sharing between them, we a…
• Adaptive Decision-Making for Emergency Monitoring Task Migration: Delay Risk Control and Multi-Agent Reinforcement Learning
  2024 · AI Agent 生态 · Abstract The timely and reliable handling of post-disaster emergency monitoring tasks is crucial for effective rescue operations. UAV-assisted edge computing plays a pivotal role in the rapid deployment of such systems. …
• Enhanced SDN Security Using Mobile Agent
  2024 · AI Agent 生态 · In the next-generation trend, Software-Defined Networking (SDN) is a revolutionary paradigm of network technology that enables advanced network features such as centralized network flow and programmability to facilitate …
• A Novel Multi-Agent System for Complex Scheduling Problems
  2024 · AI Agent 生态 · Complex scheduling problems require a large amount computation power and innovative solution methods. The objective of this paper is the conception and implementation of a multi-agent system that is applicable in various…
• Probing an Easy-to-Deploy Multi-Agent Manufacturing System Based on Agent Computing Node: Architecture, Implementation, and Case Study
  2024 · AI Agent 生态 · Abstract Due to the widespread adoption of personalized customization services, the application contexts within discrete manufacturing workshops have become increasingly intricate, necessitating the modern industry to ev…
• A Modeling Methodology for Crop Representation in Digital Twins for Smart Farming
  2024 · 智慧农业 · Digital twins of complex systems are operated by stakeholders from different domains, who typically do not work in the same language. This problem is exacerbated in digital twins where domain-specific representations are…
• Boosting Cost‐Efficiency in Robotics: A Distributed Computing Approach for Harvesting Robots
  2024 · 智慧农业 · ABSTRACT Multi‐arm harvesting robots offer a promising solution to the labor shortage in fruit harvesting, due to their ability to improve harvesting efficiency. However, multi‐arm harvesters necessitate additional visua…
• App Deconfliction: Orchestrating Distributed, Multi-Agent, Multi-Objective Operations for Power Systems
  2023 · AI Agent 生态 · Advanced distribution systems need to integrate and orchestrate intelligent subsystems and grid-edge devices that are increasing both in number and sophistication while also serving multiple system-level objectives such …
• A module placement scheme for fog-based smart farming applications
  2023 · 智慧农业 · <span lang="EN-US">As in Industry 4.0 era, the impact of the internet of things (IoT) on the advancement of the agricultural sector is constantly increasing. IoT enables automation, precision, and efficiency in tra…
• Real-Time Micro-Fulfillment Orchestration in Omnichannel Retail Using Multi-Agent Reinforcement Learning Framework
  2026 · AI Agent 生态 · Micro-fulfillment centers (MFCs) have emerged as a response to growing e-commerce demands, yet their integration into omnichannel retail networks creates order routing challenges that traditional optimization struggles t…
• Secure Agent-Based Architectures for Decentralized AI Identity Management: The DAIS Framework
  2026 · AI Agent 生态 · This study proposes the multi-layered Decentralised Autonomous Identity System (DAIS) for safe, scalable, and policy-aware identity management for autonomous AI agents. DAIS uses distributed ledgers, trust registries, cr…
• Multi-Agent AI assisted Multimodal Content Synthesis: Knowledge Sharing across Barriers
  2026 · AI Agent 生态 · Enabling cross-pollination of ideas across geographies can unlock new possibilities among communities. While video based knowledge exchange has proven effective within local communities, its potential for global impact r…
• MULTI-AGENT INTRUSION DETECTION AND PREVENTION SYSTEMS (IDPS) IN CYBERSECURITY: ARCHITECTURES, BENCHMARKS, AND METHODOLOGICAL MITIGATION
  2026 · AI Agent 生态 · The exponential scaling and increasing heterogeneity of contemporary cloud infrastructures, Internet of Things (IoT) ecosystems, and distributed corporate networks have exposed severe architectural limitations in central…
• MULTI-AGENT INTRUSION DETECTION AND PREVENTION SYSTEMS (IDPS) IN CYBERSECURITY: ARCHITECTURES, BENCHMARKS, AND METHODOLOGICAL MITIGATION
  2026 · AI Agent 生态 · The exponential scaling and increasing heterogeneity of contemporary cloud infrastructures, Internet of Things (IoT) ecosystems, and distributed corporate networks have exposed severe architectural limitations in central…
• Intent-Driven Multi-Agent Coordination for Edge Computing under Resource and Communication Constraints
  2026 · AI Agent 生态 · Keeping edge nodes coordinated efficiently with limited communication and computation resources is becoming increasingly challenging as edge computing becomes central to time-critical and distributed systems. Communicati…
• An Adaptive AI Multi-Agent Model for Optimizing Real-Time Data Streaming and System Resilience
  2026 · AI Agent 生态 · Real-time data-streaming environments increasingly require adaptive decision mechanisms capable of coordinating heterogeneous computational resources while maintaining throughput, resilience, and service continuity under…
• Autonomous Exception Management in SAP S/4HANA Manufacturing Through Multi-agent Generative AI and Event-driven Supply Networks
  2026 · AI Agent 生态 · Thousands of system exceptions every day are created in manufacturing operations in SAP S/4HANA. Majority of these exceptions are being done manually. It is cumbersome, costly as well as inaccurate. This paper suggests a…
• Enabling Dynamic Pricing: An AI Agent for Startups with Transparent ML Insight
  2026 · AI Agent 生态 · Dynamic pricing lets the businesses to change the product prices based their market conditions and the demand. Many large enterprises benefited by advanced pricing engines whereas the startups lack in affordance and tran…
• Blockchain enabled AI-agent based peer-to-peer energy trading and fault management system
  2026 · AI Agent 生态 · The distribution system automation that could facilitate large scale renewable integration is being developed and deployed across the globe. The major challenge in this endeavor lies in the mechanism to facilitate intra …
• AI-Driven Multi-Agent Deep Reinforcement Learning for Dynamic Sharding Reconfiguration in Permissionless Blockchains
  2026 · AI Agent 生态 · Permissionless blockchains (e.g., Bitcoin, Ethereum) have emerged as decentralized infrastructures for secure data storage and peer-to-peer transactions, but their scalability remains a critical bottleneck–especially as …
• Optimization of Last-Mile Delivery Routes Using a Multi-Agent System
  2026 · AI Agent 生态 · The rapid expansion of e-commerce and on-demand logistics has intensified the need for efficient, adaptive last-mile delivery solutions. Traditional route optimization methods often struggle with dynamic real-time disrup…
• 基于生物启发式算法的分布式计算
  2026 · AI Agent 生态 · This paper explores the application of bio-inspired algorithms for distributed computing. The core claim is that leveraging the strengths of these algorithms can lead to efficient distributed computing solutions. The pro…
• 基于生物启发式算法的分布式计算
  2026 · AI Agent 生态 · This paper explores the application of bio-inspired algorithms for distributed computing. The core claim is that leveraging the strengths of these algorithms can lead to efficient distributed computing solutions. The pro…
• Topology Optimization of Complex Networks Based on Multi-Agent Learning
  2026 · AI Agent 生态 · This paper presents a novel approach to complex network topology optimization utilizing multi-agent reinforcement learning (MARL). Traditional network topology optimization methods predominantly rely on mathematical mode…
• Topology Optimization of Complex Networks Based on Multi-Agent Learning
  2026 · AI Agent 生态 · This paper presents a novel approach to complex network topology optimization utilizing multi-agent reinforcement learning (MARL). Traditional network topology optimization methods predominantly rely on mathematical mode…
• Topology Optimization Algorithm for Self-Organizing Multi-Agent Systems
  2026 · AI Agent 生态 · This paper presents a novel approach to optimizing the topology of self-organizing multi-agent systems (SOMAS) using topology optimization techniques. The core claim is that SOMAS can automatically learn and adapt their …
• Topology Optimization Algorithm for Self-Organizing Multi-Agent Systems
  2026 · AI Agent 生态 · This paper presents a novel approach to optimizing the topology of self-organizing multi-agent systems (SOMAS) using topology optimization techniques. The core claim is that SOMAS can automatically learn and adapt their …
• Multi-Agent Reinforcement Learning for Resource Allocation
  2026 · AI Agent 生态 · This paper investigates the application of Multi-Agent Reinforcement Learning (MARL) to the problem of resource allocation. Traditional resource allocation methods often struggle with complex scenarios involving multiple…
• Multi-Agent Reinforcement Learning for Resource Allocation
  2026 · AI Agent 生态 · This paper investigates the application of Multi-Agent Reinforcement Learning (MARL) to the problem of resource allocation. Traditional resource allocation methods often struggle with complex scenarios involving multiple…
• Distributed Resource Scheduling Based on Multi-Agent Game
  2026 · AI Agent 生态 · This paper presents a novel approach to distributed resource scheduling utilizing the principles of multi-agent game theory. The core idea is to model each resource node as an intelligent agent, enabling dynamic and effi…
• Distributed Resource Scheduling Based on Multi-Agent Game
  2026 · AI Agent 生态 · This paper presents a novel approach to distributed resource scheduling utilizing the principles of multi-agent game theory. The core idea is to model each resource node as an intelligent agent, enabling dynamic and effi…

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