期刊簡(jiǎn)介預(yù)計(jì)審稿時(shí)間：

Scalable Computing - Practice and Experience "is a well-known academic journal dedicated to the field of scalable computing. Committed to developing the latest research results, practical experience, and application cases related to scalable computing. It covers a wide range of topics, including but not limited to parallel computing, distributed computing, cloud computing, big data processing, high-performance computing, etc.

In terms of content, it not only focuses on theoretical innovation, but also emphasizes technical challenges and solutions in practical applications. By publishing high-quality academic papers, review articles, and practical reports, it provides an important platform for researchers, engineers, and industry practitioners to exchange and share knowledge. For example, some research papers may explore how to optimize parallel algorithms to improve computational efficiency, or how to implement effective resource management in distributed systems; And practical reports may share successful experiences in large-scale data processing in a specific industry. It has played a positive role in promoting the development of scalable computing, facilitating cooperation and exchange between academia and industry, and continuously leading technological progress and innovation in this field.

《可擴(kuò)展計(jì)算-實(shí)踐與經(jīng)驗(yàn)》是一本專注于可擴(kuò)展計(jì)算領(lǐng)域的知名學(xué)術(shù)期刊。致力于發(fā)與可擴(kuò)展計(jì)算相關(guān)的最新研究成果、實(shí)踐經(jīng)驗(yàn)和應(yīng)用案例。其涵蓋的主題范圍廣泛，包括但不限于并行計(jì)算、分布式計(jì)算、云計(jì)算、大數(shù)據(jù)處理、高性能計(jì)算等。

在內(nèi)容方面，它不僅關(guān)注理論創(chuàng)新，還著重于實(shí)際應(yīng)用中的技術(shù)挑戰(zhàn)和解決方案。通過發(fā)表高質(zhì)量的學(xué)術(shù)論文、綜述文章和實(shí)踐報(bào)告，為研究人員、工程師和行業(yè)從業(yè)者提供了一個(gè)交流和分享知識(shí)的重要平臺(tái)。例如，一些研究論文可能探討如何優(yōu)化并行算法以提高計(jì)算效率，或者如何在分布式系統(tǒng)中實(shí)現(xiàn)有效的資源管理；而實(shí)踐報(bào)告則可能分享某一特定行業(yè)在大規(guī)模數(shù)據(jù)處理方面的成功經(jīng)驗(yàn)。對(duì)于推動(dòng)可擴(kuò)展計(jì)算領(lǐng)域的發(fā)展起到了積極的作用，促進(jìn)了學(xué)術(shù)界和工業(yè)界之間的合作與交流，不斷引領(lǐng)著該領(lǐng)域的技術(shù)進(jìn)步和創(chuàng)新。

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