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检索条件"主题词=Scheduling algorithms"
8557 条 记 录,以下是571-580 订阅
排序:
Earth Observation Satellite Downlink scheduling With Satellite-Ground Optical Communication Links
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IEEE TRANSACTIONS ON AEROSPACE AND ELECTRONIC SYSTEMS 2025年 第2期61卷 2281-2294页
作者: Li, Hai Li, Yongjun Liu, Yuanhao Deng, Boyu Li, Yu Li, Xin Zhao, Shanghong Air Force Engn Univ Coll Informat & Nav Xian 710077 Peoples R China Chinese Acad Mil Sci Beijing 100071 Peoples R China Natl Univ Def Technol Coll Informat & Commun Wuhan 430000 Peoples R China
Consistent growth in the number of high-resolution Earth observation satellites (EOSs) poses a significant challenge to the downlink scheduling problem for observation data. Satellite-to-ground optical communication i... 详细信息
来源: 评论
Towards Secure and Efficient Data scheduling for Vehicular Social Networks
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IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY 2025年 第1期74卷 1551-1569页
作者: Xia, Youhua Zhang, Tiehua Jin, Jiong He, Ying Yu, F. Richard Guangdong Lab Artificial Intelligence & Digital Ec Shenzhen 518107 Peoples R China Tongji Univ Coll Elect & Informat Engn Shanghai 200070 Peoples R China Swinburne Univ Technol Sch Sci Comp & Engn Technol Melbourne Vic 3122 Australia Shenzhen Univ Coll Comp Sci & Software Engn Shenzhen 518060 Peoples R China Carleton Univ Ottawa ON K1S 5B6 Canada
Efficient data transmission scheduling within vehicular environments poses a significant challenge due to the high mobility of such networks. Contemporary research predominantly centers on crafting cooperative schedul... 详细信息
来源: 评论
Qin: Unified Hierarchical Cluster-Node scheduling for Heterogeneous Datacenters
IEEE TRANSACTIONS ON SUSTAINABLE COMPUTING
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IEEE TRANSACTIONS ON SUSTAINABLE COMPUTING 2025年 第1期10卷 39-56页
作者: Guan, Wenkai Ababei, Cristinel Univ Minnesota Div Sci & Math Morris MN 56267 USA Marquette Univ Dept Elect & Comp Engn Milwaukee WI 53233 USA
Energy efficiency is among the most important challenges for computing. There has been an increasing gap between the rate at which the performance of processors has been improving and the lower rate of improvement in ... 详细信息
来源: 评论
End-Edge-Cloud Heterogeneous Resources scheduling Method Based on RNN and Particle Swarm Optimization
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IEEE TRANSACTIONS ON NETWORK AND SERVICE MANAGEMENT 2025年 第2期22卷 1664-1676页
作者: Wu, Haijie Shen, Wangbo Lin, Weiwei Li, Wei Li, Keqin South China Univ Technol Sch Comp Sci & Engn Guangzhou 510006 Peoples R China Pengcheng Lab Dept New Networks Shenzhen 518055 Peoples R China Univ Sydney Sch Comp Sci Sydney NSW 2006 Australia State Univ New York New Paltz Dept Comp Sci New Paltz NY 12561 USA
Task scheduling in cloud computing is a challenging but crucial task for ensuring service quality and load balance. Mainstream scheduling algorithms, such as heuristic algorithms and reinforcement learning, have made ... 详细信息
来源: 评论
Optimization-based resource scheduling techniques in cloud computing environment: A review of scientific workflows and future directions
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COMPUTERS & ELECTRICAL ENGINEERING 2025年 123卷
作者: Kathole, Atul B. Vhatkar, Kapil Lonare, Savita Kshirsagar, Aniruddha P. Dr DY Patil Inst Technol Dept Comp Engn Pune 411018 Maharashtra India Karmaveer Bhaurao Patil Coll Engn Dept Comp Sci & Engn Satara 415001 Maharashtra India
Due to the rapid growth of heterogeneous nature and demand requests over cloud resources, resource scheduling has become the most prominent issue in cloud computing. Thus, the cloud has offered elasticity, uncertainty... 详细信息
来源: 评论
Efficient Prefetch and Issue scheduling Approaches for Simultaneous Multithreading Applied to Superscalar RISC-V Processor
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IEEE ACCESS 2025年 13卷 29177-29189页
作者: Ribo, Hananya Greenberg, Shlomo Ben Gurion Univ Negev Sch Elect & Comp Engn IL-8410501 Beer Sheva Israel Sami Shamoon Coll Engn Comp Sci Dept IL-8410802 Beer Sheva Israel
Thread level parallelism (TLP) is a common approach to achieve parallelism where Instruction level parallelism (ILP) is insufficient. Hardware multithreading is a prevalent approach in the micro-architecture layer for... 详细信息
来源: 评论
CECF: A DNN-Based Energy-Efficient Cloud-Edge Collaboration Framework for Intelligent Workload scheduling in 6G-Enabled Transportation Systems
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IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS 2025年
作者: Lu, Yao Liu, Lu Panneerselvam, John Gu, Jiayan Garraghan, Peter Min, Geyong Anhui Univ Sch Comp Sci & Technol Hefei 230601 Peoples R China Univ Exeter Dept Comp Sci Exeter EX4 4QF England Univ Leicester Sch Comp & Math Sci Leicester LE1 7RH England Hefei Univ Sch Artificial Intelligence & Big Data Hefei 230000 Peoples R China Univ Lancaster Sch Comp & Commun Lancaster LA1 4YW England
The rapid growth of Internet of Vehicle (IoV) devices and Artificial Intelligence (AI) applications has accelerated the adoption of Cloud and Edge Computing. The advent of sixth-generation mobile communication technol... 详细信息
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Partitioned scheduling With Shared Resources on Imprecise Mixed-Criticality Multiprocessor Systems
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IEEE TRANSACTIONS ON COMPUTER-AIDED DESIGN OF INTEGRATED CIRCUITS AND SYSTEMS 2025年 第1期44卷 65-76页
作者: Zhang, Yi-Wen Ma, Jin-Peng Gu, Zonghua Huaqiao Univ Coll Comp Sci & Technol Xiamen 361021 Peoples R China Hofstra Univ Dept Comp Sci Hempstead NY 11549 USA Umea Univ Dept Appl Phys & Elect S-90187 Umea Sweden
Both resource access protocols and real-time scheduling algorithms have been extensively studied in classic embedded real-time systems. However, there has been relatively little attention given to the resource access ... 详细信息
来源: 评论
Enhanced DDPG algorithm for latency and energy-efficient task scheduling in MEC systems
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Discover Internet of Things 2025年 第1期5卷 1-13页
作者: Zhou, Fei Zhao, Lihong Ding, Xiaomei Wang, Shuqin Anhui Wenda University of Information Engineering Anhui Hefei231201 China
This paper presents an improved Deep Deterministic Policy Gradient (DDPG) algorithm for task scheduling in Mobile Edge Computing (MEC) systems, focusing on reducing latency and energy consumption. The enhanced DDPG in... 详细信息
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Joint Robust Power Control and Task scheduling for Vehicular Offloading in Cloud-Assisted MEC Networks
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IEEE TRANSACTIONS ON NETWORK SCIENCE AND ENGINEERING 2025年 第2期12卷 698-709页
作者: Liu, Zhixin Su, Jiawei Wei, Jianshuai Chen, Wenxuan Chan, Kit Yan Yuan, Yazhou Guan, Xinping Yanshan Univ Sch Elect Engn Key Lab Ind Comp Control Engn Hebei Prov Qinhuangdao 066004 Peoples R China Curtin Univ Sch Elect Engn Comp & Math Sci Perth WA 6102 Australia Shanghai Jiao Tong Univ Sch Elect Informat & Elect Engn Shanghai 200240 Peoples R China
Leveraging the abundance of computational resources, the cloud-edge collaborative architecture provide stronger data processing capabilities for vehicular networks, which not only significantly enhances the timeliness... 详细信息
来源: 评论