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ORCIDFuture Generation Computer Systems, Volume 155
Volume 155, 2024
- Emna Baccour
, Aiman Erbad, Amr Mohamed, Mounir Hamdi, Mohsen Guizani:
Reinforcement learning-based dynamic pruning for distributed inference via explainable AI in healthcare IoT systems. 1-17 - Zeinab Alebouyeh, Amir Jalaly Bidgoly:
Benchmarking robustness and privacy-preserving methods in federated learning. 18-38 - Xin Gao, Naiyuan Cui, Jiawei Nian, Zongnan Liang, Jiaxuan Gao, Hongjin Liu, Mengfei Yang:
ReBEC: A replacement-based energy-efficient fault-tolerance design for associative caches. 39-52 - Yihuai Liang, Yan Li, Byeong-Seok Shin:
Dynamic authenticated keyword search in hybrid-storage blockchain. 53-65 - Maël Madon, Georges Da Costa, Jean-Marc Pierson:
Replay with Feedback: How does the performance of HPC system impact user submission behavior? 66-79 - Victor Guerra, Benoit Hamon, Benoit Bataillou, Adwait Inamdar, Willem D. van Driel:
Towards a digital twin architecture for the lighting industry. 80-95 - Ning Li, Xiaojun Ren, Aniello Castiglione, Mengyun Liu:
Efficient and precise visual location estimation by effective priority matching-based pose verification in edge-cloud collaborative IoT. 96-107 - Kostas Kolomvatsos, Christos Anagnostopoulos:
Autonomous proactive data management in support of pervasive edge applications. 108-120 - Chao Zeng, Xingwei Wang, Rongfei Zeng, Ying Li, Jianzhi Shi, Min Huang:
Joint optimization of multi-dimensional resource allocation and task offloading for QoE enhancement in Cloud-Edge-End collaboration. 121-131 - Mengke Zheng, Xin Du, Zhihui Lu, Qiang Duan:
A balanced and reliable data replica placement scheme based on reinforcement learning in edge-cloud environments. 132-145 - Aya Sakhri, Arsalan Ahmed, Moufida Maimour, Mehdi Kherbache, Eric Rondeau, Noureddine Doghmane:
A digital twin-based energy-efficient wireless multimedia sensor network for waterbirds monitoring. 146-163 - Qinghu Wang, Jie Jia, Jian Chen, Yansha Deng, Xingwei Wang, Abdol-Hamid Aghvami:
Robust indoor localization based on multi-modal information fusion and multi-scale sequential feature extraction. 164-178 - Sebastian Werner, Stefan Tai:
A reference architecture for serverless big data processing. 179-192 - Christine Mwase, Yi Jin, Tomi Westerlund, Hannu Tenhunen, Zhuo Zou:
DAI-NET: Toward communication-aware collaborative training for the industrial edge. 193-203 - Francesco Tusa, Stuart Clayman, Alina Buzachis, Maria Fazio:
Microservices and serverless functions - lifecycle, performance, and resource utilisation of edge based real-time IoT analytics. 204-218 - Yan Wei, Xingjun Zhang:
A highly write-optimized concurrent B+-tree for persistent memory. 219-230 - Risto Vaarandi, Alejandro Guerra-Manzanares:
Stream clustering guided supervised learning for classifying NIDS alerts. 231-244 - Wojciech Bozejko, Jaroslaw Pempera, Mariusz Uchronski, Mieczyslaw Wodecki:
Quantum annealing-driven branch and bound for the single machine total weighted number of tardy jobs scheduling problem. 245-255 - Óscar Castellanos-Rodríguez, Roberto R. Expósito, Jonatan Enes, Guillermo L. Taboada, Juan Touriño:
Serverless-like platform for container-based YARN clusters. 256-271 - Syed Kumayl Raza Moosavi, Ahsan Saadat, Zainab Abaid, Wei Ni, Kai Li, Mohsen Guizani:
Feature selection based on dataset variance optimization using Hybrid Sine Cosine - Firehawk Algorithm (HSCFHA). 272-286 - Daniel Fireman, Paulo Silva, Thiago Emmanuel Pereira, Luis Mafra, Dalton C. G. Valadares:
Prebaking runtime environments to improve the FaaS cold start latency. 287-299 - Ruyue Xin, Peng Chen, Paola Grosso, Zhiming Zhao:
A fine-grained robust performance diagnosis framework for run-time cloud applications. 300-311 - Zhuo Xu, Mengqing Jin, Jian Lin, Yuelong Liu, Jianlong Xu, Zhi Xiong, Hao Cai:
Connection-density-aware satellite-ground federated learning via asynchronous dynamic aggregation. 312-323 - Xiangyang Yang, Xuefeng Guan, Zhaoxing Pang, Xing Kui, Huayi Wu:
GridMesa: A NoSQL-based big spatial data management system with an adaptive grid approximation model. 324-339 - Mohsen Seyedkazemi Ardebili, Andrea Acquaviva, Luca Benini, Andrea Bartolini:
HazardNet: A thermal hazard prediction framework for datacenters. 340-353 - Andreas Kouloumpris, Georgios L. Stavrinides, Maria K. Michael, Theocharis Theocharides:
An optimization framework for task allocation in the edge/hub/cloud paradigm. 354-366 - José Á. Morell, Zakaria Abdelmoiz Dahi, Francisco Chicano, Gabriel Luque, Enrique Alba:
A multi-objective approach for communication reduction in federated learning under devices heterogeneity constraints. 367-383 - Ruben Gonzalez-Sendino, Emilio Serrano, Javier Bajo:
Mitigating bias in artificial intelligence: Fair data generation via causal models for transparent and explainable decision-making. 384-401 - Achim Guldner, Rabea Bender, Coral Calero, Giovanni S. Fernando, Markus Funke, Jens Gröger, Lorenz M. Hilty, Julian Hörnschemeyer, Geerd-Dietger Hoffmann, Dennis Junger, Tom Kennes, Sandro Kreten, Patricia Lago, Franziska Mai, Ivano Malavolta, Julien Murach, Kira Obergöker, Benno Schmidt, Arne Tarara, Joseph P. De Veaugh-Geiss, Sebastian Weber, Max Westing, Volker Wohlgemuth, Stefan Naumann:
Development and evaluation of a reference measurement model for assessing the resource and energy efficiency of software products and components - Green Software Measurement Model (GSMM). 402-418 - Abla Smahi, Hui Li, Wang Han, Ahmed Ameen Fateh, Ching Chuen Chan:
VFL-Chain: Bulletproofing Federated Learning in the V2X environments. 419-436 - Shaoming Qiu, Jiancheng Zhao, Xuecui Zhang, Fen Chen, Yahui Wang:
Improved binary marine predator algorithm-based digital twin-assisted edge-computing offloading method. 437-446 - Davide Loconte, Saverio Ieva, Agnese Pinto, Giuseppe Loseto, Floriano Scioscia, Michele Ruta:
Expanding the cloud-to-edge continuum to the IoT in serverless federated learning. 447-462 - Michela Taufer:
Recognition of best paper, outstanding editors, and outstanding reviewers for Future Generation Computer Systems in 2023. 463-464 - Mustafa Ibrahim Khaleel:
A dynamic weight-assignment load balancing approach for workflow scheduling in edge-cloud computing using ameliorated moth flame and rock hyrax optimization algorithms. 465-485
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