Ieee Transactions On Parallel And Distributed Systems

杂志介绍

Ieee Transactions On Parallel And Distributed Systems杂志介绍

《Ieee Transactions On Parallel And Distributed Systems》是一本以English为主的未开放获取国际优秀期刊，中文名称并行和分布式系统上的 IEEE 事务，本刊主要出版、报道计算机科学-COMPUTER SCIENCE, THEORY & METHODS领域的研究动态以及在该领域取得的各方面的经验和科研成果，介绍该领域有关本专业的最新进展，探讨行业发展的思路和方法，以促进学术信息交流，提高行业发展。该刊已被国际权威数据库SCIE收录，为该领域相关学科的发展起到了良好的推动作用，也得到了本专业人员的广泛认可。该刊最新影响因子为5.6，最新CiteScore 指数为11。

本刊近期中国学者发表的论文主要有：

• Learning to Schedule Multi-Server Jobs With Fluctuated Processing Speeds

  Author: Zhao, Hailiang; Deng, Shuiguang; Chen, Feiyi; Yin, Jianwei; Dustdar, Schahram; Zomaya, Albert Y.

• The High Faulty Tolerant Capability of the Alternating Group Graphs

  Author: Zhang, Hui; Hao, Rong-Xia; Qin, Xiao-Wen; Lin, Cheng-Kuan; Hsieh, Sun-Yuan

• A Distributed Network-Based Runtime Verification of Full Regular Temporal Properties

  Author: Yu, Bin; Tian, Cong; Lu, Xu; Zhang, Nan; Duan, Zhenhua

• HierFedML: Aggregator Placement and UE Assignment for Hierarchical Federated Learning in Mobile Edge Computing

  Author: Xu, Zichuan; Zhao, Dapeng; Liang, Weifa; Rana, Omer F.; Zhou, Pan; Li, Mingchu; Xu, Wenzheng; Li, Hao; Xia, Qiufen

英文介绍

Ieee Transactions On Parallel And Distributed Systems杂志英文介绍

IEEE Transactions on Parallel and Distributed Systems (TPDS) is published monthly. It publishes a range of papers, comments on previously published papers, and survey articles that deal with the parallel and distributed systems research areas of current importance to our readers. Particular areas of interest include, but are not limited to:

a) Parallel and distributed algorithms, focusing on topics such as: models of computation; numerical, combinatorial, and data-intensive parallel algorithms, scalability of algorithms and data structures for parallel and distributed systems, communication and synchronization protocols, network algorithms, scheduling, and load balancing.

b) Applications of parallel and distributed computing, including computational and data-enabled science and engineering, big data applications, parallel crowd sourcing, large-scale social network analysis, management of big data, cloud and grid computing, scientific and biomedical applications, mobile computing, and cyber-physical systems.

c) Parallel and distributed architectures, including architectures for instruction-level and thread-level parallelism; design, analysis, implementation, fault resilience and performance measurements of multiple-processor systems; multicore processors, heterogeneous many-core systems; petascale and exascale systems designs; novel big data architectures; special purpose architectures, including graphics processors, signal processors, network processors, media accelerators, and other special purpose processors and accelerators; impact of technology on architecture; network and interconnect architectures; parallel I/O and storage systems; architecture of the memory hierarchy; power-efficient and green computing architectures; dependable architectures; and performance modeling and evaluation.

d) Parallel and distributed software, including parallel and multicore programming languages and compilers, runtime systems, operating systems, Internet computing and web services, resource management including green computing, middleware for grids, clouds, and data centers, libraries, performance modeling and evaluation, parallel programming paradigms, and programming environments and tools.