Asynchronous Distributed Optimization Algorithms: Achieving Convergence with Delay-Independent Step-Sizes
This paper introduces novel asynchronous versions of Prox-DGD and DGD-ATC algorithms for distributed optimization, proving their convergence to fixed points using delay-free step-sizes, even under total asynchrony, and demonstrating their superior practical performance compared to existing methods reliant on delay-dependent step-sizes.
Reaching Majority Consensus in Competitive Microbial Systems: The Role of Direct vs. Indirect Competition
Direct competition between microbial species significantly enhances the probability and speed of reaching majority consensus, while indirect competition alone is often insufficient.
Quantum-Enhanced Leader Election in Asynchronous Distributed Systems: Overcoming Limitations and Leveraging Entanglement
While quantum entanglement offers potential speedups in distributed systems, it doesn't circumvent the fundamental limitations of classical communication, as demonstrated by a novel quantum-enhanced leader election algorithm that leverages GHZ states to improve efficiency while still contending with asynchronous delays.
Mint: A Cost-Efficient Distributed Tracing Framework for Capturing All Requests via Commonality and Variability Analysis
Mint is a novel distributed tracing framework that addresses the limitations of traditional sampling methods by leveraging commonality and variability analysis to reduce trace overhead while capturing all requests, enabling comprehensive system observability with minimal resource consumption.
RainCloud：異構物聯網群體中的去中心化協調與通訊
RainCloud 框架透過基於語義和自我實現的通訊策略以及基於蟻群系統的元啟發式演算法，實現了異構物聯網環境中高效的去中心化任務協調。
이기종 IoT 스웜에서의 탈중앙화된 조정 및 통신: RainCloud 시스템
본 논문에서는 이기종 IoT 스웜에서 중앙 서버에 대한 의존성을 최소화하거나 없앤 탈중앙화된 작업 할당 및 통신을 위한 RainCloud 시스템 프레임워크를 제안하고, 특히 Ant Colony Optimization(ACO) 기반의 경량 메타휴리스틱을 활용한 조정 전략의 효율성을 검증합니다.
RainCloud: ヘテロジニアスIoTスウォームにおける分散型調整と通信 - ランタイムタスク割り当てのための軽量なACOベースのメタヒューリスティックアプローチ
RainCloudは、動的なIoT環境における効率的なタスクオフロードのための、セマンティックな自己最適化通信とAnt Colony Optimizationに基づく軽量な調整戦略を組み合わせたフレームワークである。
RainCloud: A Decentralized Task Coordination and Communication System for Heterogeneous IoT Swarms using Ant Colony Optimization
RainCloud is a novel framework for decentralized task offloading in IoT swarms, leveraging semantic communication and an Ant Colony Optimization (ACO) algorithm to efficiently distribute tasks and adapt to dynamic network conditions.
현실적인 마이크로그리드 데이터를 사용한 블록체인 기반 에너지 공유 알고리즘 분석
본 논문은 마이크로그리드 간의 에너지 공유를 위한 새로운 알고리즘을 제안하고, 현실적인 데이터를 사용하여 기존 알고리즘과의 성능을 비교 분석하여 블록체인 기반 에너지 공유 시스템의 효율성을 입증합니다.
Analysis of Blockchain-Based Energy Trading and Sharing Algorithms for Microgrids Using Realistic Data
Integrating blockchain-based energy trading and sharing algorithms, particularly peer-to-peer models, within and across microgrids presents a viable solution for enhancing energy independence, affordability, and efficient resource utilization.
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