Call for Papers - Special Issue of "Network Services and Distributed Processing"

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Call for papers - Special issue of "Network Services and Distributed Processing"

February 14, 2024
Updated on April 23, 2024
Editorial Committee of the Journal of Information Processing


 Journal of Information Processing (JIP) is pleased to announce the call for papers for a special issue of “Network Services and Distributed Processing”.
 The Internet has become an indispensable social infrastructure that supports many aspects of our lives. Its importance is expected to grow as companies move schools online, which accelerated after the spread of the COVID-19 pandemic, and as digitization such as DX (Digital Transformation) and CPS (Cyber Physical System) work to solve social problems. In addition, terminals connected to the Internet are expanding from PCs and smartphones operated directly by users to IoT devices, in-vehicle devices, AI (Artificial Intelligence), and other terminals operated autonomously. This expansion is driving new network technologies, such as 6th generation mobile communication systems, network virtualization, edge networks, and LPWA (Low Power, Wide Area network). Network service infrastructures are also required to support various applications and services, providing information to users, collecting information from physical space, and sharing information between data centers for large-scale data analysis. In particular, networks are required to support AI technologies, especially generative AI, which has attracted attention in 2023, as well as AI-based network service enhancements. To sustain the evolution of the Internet, wide variations of cross-disciplinary and forward-thinking studies will be required in addition to advance computing and networking technologies.
In this special issue which is edited by the guest editor organization, we focus on the challenges for the wide range of research topics “Network Services and Distributed Processing” such as network infrastructures, services and applications and so on.

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Journal of Information Processing (JIP) is currently encouraging more submissions from outside of Japan.
The publication fee of any accepted papers will not be charged if all the authors of the paper belong to institutes outside Japan.
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Submission Guidelines

(1) All papers must be submitted electronically. Please access the following URL and proceed under the submission instructions:

https://mc.manuscriptcentral.com/ipsj

Once you have submitted your manuscript, you cannot change it.
So, you must submit the final version of your manuscript.
If, by mistake, you submitted a wrong version, please contact the IPSJ secretariat <s1m-at-ipsj.or.jp> (Replace -at- with @).

In the event you would like to make a submission, you must first create an account on the paper submission Web page. For detailed information, please refer to the manual available from the link “Instructions & Forms” at the top of the submission page.

(2) All papers will be reviewed. The review process will be carried out in the same manner as regular issues. However, you have shorter time than usual (eight weeks) for preparation of your responses to inquiries.

(3) Submission deadline is April 30, 2024 May 7, 2024. *Deadline extended

(4) The special issue will be published on the J-Stage website in February, 2025. Preprint will be published on the IPSJ Journal in February, 2025.

(5) The Editorial Committee of This Special Issue
Editor in-Chief: Atsushi TAGAMI (KDDI Research)
Editorial Board: Masaki SUZUKI (KDDI Research), Tatsuya AMANO (Osaka Univ.)
Editorial Committee Members: Akihito HIROMORI (Osaka Univ.), Akihito TAYA (The Univ. of Tokyo), Akiko TAKAHASHI (National Inst. of Tech., Sendai College), Akimitsu KANZAKI (Shimane Univ.), Akio HADA (Railway Technical Research Inst.), Akira UEJIMA (Okayama Univ. of Science), Akiyoshi SUGIKI (Hokkaido Univ.), Atsushi KANAI (Hosei Univ.), Atsushi TAKEDA (Tohoku Gakuin Univ.), Fumiaki SATO (Toho Univ.), Fumiyoshi KAMO (Tamagawa Univ.), Hideaki HIRAYAMA (Mejiro Univ.), Hideaki YANAGISAWA (National Inst. of Tech., Tokuyama College), Hiroaki KIKUCHI (Meiji Univ.), Hiroki SAITO (Meiji Univ.), Ikumi MORI (Mitsubishi Electric), Kazunori UEDA (Tohoku Univ. of Community Service and Science), Kazutoshi YOKOYAMA (Kochi Univ. of Tech.), Mari ABE (IBM), Masaaki NORO (Prefectual Univ. of Hiroshima), Masaya SATO (Okayama Prefectural Univ.), Minoru NAKAZAWA (Kanazawa Inst. of Tech.), Naoto TAKEDA (KDDI Research),
Naoto UMEMORI (NTT DATA Group), Norihiro FUKUMOTO (The Univ. of Tokyo), Ryota TSUKAMOTO (Mitsubishi Electric), Saneyasu YAMAGUCHI (Kogakuin Univ.), Satoru IZUMI (National Inst. of Tech., Sendai College), Shingo YAMAGUCHI (Yamaguchi Univ.), Shinji SAKAMOTO (Kanazawa Inst. of Tech.), Shintaro IMAI (Iwate Prefectural Univ.), Shinya YAMAMOTO (Sanyo-Onoda City Univ.), Shunsuke OSHIMA (National Inst. of Tech., Kumamoto College), Susumu ISHIHARA (Shizuoka Univ.), Takashi HATASHIMA (NTT), Takeshi SAKODA (Toshiba), Takuo SUGANUMA (Tohoku Univ.), Tomokazu HAYAKAWA (Meiji Univ.), Tomoya KAWAKAMI (Univ. of Fukui), Toshihiro UCHIBAYASHI (Kyushu Univ.), Toshiyuki MIYACHI (NICT), Yasuhisa TAKIZAWA (Kansai Univ.), Yoshinari NOMURA (Okayama Univ.), Yoshitaka NAKAMURA (Kyoto Tachibana Univ.), Yuanyuan WANG (Yamaguchi Univ.), Yusuke GOTOH (Okayama Univ.), Zhi LIU (The Univ. of Electro-Communication)

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