雜志介紹

Ieee Transactions On Parallel And Distributed Systems雜志介紹

《Ieee Transactions On Parallel And Distributed Systems》是一本以English為主的未開放獲取國際優(yōu)秀期刊，中文名稱并行和分布式系統(tǒng)上的 IEEE 事務(wù)，本刊主要出版、報(bào)道計(jì)算機(jī)科學(xué)-COMPUTER SCIENCE, THEORY & METHODS領(lǐng)域的研究動(dòng)態(tài)以及在該領(lǐng)域取得的各方面的經(jīng)驗(yàn)和科研成果，介紹該領(lǐng)域有關(guān)本專業(yè)的最新進(jìn)展，探討行業(yè)發(fā)展的思路和方法，以促進(jìn)學(xué)術(shù)信息交流，提高行業(yè)發(fā)展。該刊已被國際權(quán)威數(shù)據(jù)庫SCIE收錄，為該領(lǐng)域相關(guān)學(xué)科的發(fā)展起到了良好的推動(dòng)作用，也得到了本專業(yè)人員的廣泛認(rèn)可。該刊最新影響因子為5.6，最新CiteScore 指數(shù)為11。

本刊近期中國學(xué)者發(fā)表的論文主要有：

• 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

英文介紹

Ieee Transactions On Parallel And Distributed Systems雜志英文介紹

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.