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Service-Oriented Computing

22nd International Conference, ICSOC 2024, Tunis, Tunisia, December 3–6, 2024, Proceedings, Part I

  • Conference proceedings
  • © 2025

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Editors:
  1. Walid Gaaloul

    1. Telecom SudParis, Évry, France

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  2. Michael Sheng

    1. Macquarie University, Sydney, Australia

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  3. Qi Yu

    1. Rochester Institute of Technology, Rochester, USA

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  4. Sami Yangui

    1. LAAS-CNRS, Toulouse, France

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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 15404)

Included in the following conference series:

Conference proceedings info: ICSOC 2024.

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About this book

The two-volume set LNCS 15404 and 15405 constitutes the refereed proceedings of the 22nd International Conference on Service-Oriented Computing, ICSOC 2024, held in Tunis, Tunisia, during December 3–6, 2024.

The 38 full papers and 19 short papers presented in these proceedings were carefully reviewed and selected from 255 submissions. The papers are organized in the following topical sections:

Part I: Edge and IoT; Generative AI; Service Security and Privacy; and Processes and Workflows.

Part II: Cloud Computing; QoS and SLA; Microservice; Service Recommendation; Emerging Technologies and Approaches; Service Composition; Blockchain; and Industry Papers.

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Table of contents (27 papers)

  1. Front Matter

    Pages i-xxvi
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  2. Edge and IoT

    1. Front Matter

      Pages 1-1
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    2. Efficient and Dependency-Aware Placement of Serverless Functions on Edge Infrastructures

      • Luciano Baresi, Giovanni Quattrocchi, Inacio Gaspar Ticongolo
      Pages 3-20

    3. POSEIDON: Efficient Function Placement at the Edge Using Deep Reinforcement Learning

      • Prakhar Jain, Prakhar Singhal, Divyansh Pandey, Giovanni Quatrocchi, Karthik Vaidhyanathan
      Pages 21-37

    4. ABBA-VSM: Time Series Classification Using Symbolic Representation on the Edge

      • Meerzhan Kanatbekova, Shashikant Ilager, Ivona Brandic
      Pages 38-53

    5. An Energy-Efficient Partition and Offloading Method for Multi-DNN Applications in Edge-End Collaboration Environments

      • Zhiqing Yang, Xiang He, Teng Wang, Zhongjie Wang
      Pages 54-68

    6. Crowdsourcing Task Assignment with Category and Mobile Combined Preference Learning

      • Yue Ma, Xiaofeng Gao, Guihai Chen
      Pages 69-84

    7. Federated Learning as a Service for Hierarchical Edge Networks with Heterogeneous Models

      • Wentao Gao, Omid Tavallaie, Shuaijun Chen, Albert Zomaya
      Pages 85-99

    8. Optimizing Traffic Allocation for Multi-replica Microservice Deployments in Edge Cloud

      • Hokun Park, Hyungjun Kim, Donggyun Kim, Gyujeong Lim, Heonchang Yu
      Pages 100-115

    9. An Event-B Based Approach for Horizontally Scalable IoT Applications

      • Yassmine Gara Hellal, Lazhar Hamel, Mohamed Graiet
      Pages 116-124

    10. Efficient Provisioning of IoT Energy Services

      • Amani Abusafia, Athman Bouguettaya, Abdallah Lakhdari
      Pages 125-132

    11. Attention-Driven Conflict Management in Smart IoT-Based Systems

      • Christson Awanyo, Nawal Guermouche
      Pages 133-141

    12. Benchmarking Deep Learning Models for Object Detection on Edge Computing Devices

      • Daghash K. Alqahtani, Muhammad Aamir Cheema, Adel N. Toosi
      Pages 142-150

  3. Generative AI

    1. Front Matter

      Pages 151-151
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    2. LLM Enhanced Representation for Cold Start Service Recommendation

      • Dunlei Rong, Lina Yao, Yinting Zheng, Shuang Yu, Xiaofei Xu, Mingyi Liu et al.
      Pages 153-167

    3. Combining Generative AI and PPTalk Service Specification for Dynamic and Adaptive Task-Oriented Chatbots

      • María Jesús Rodríguez-Sánchez, Zoraida Callejas, Angel Ruiz-Zafra, Kawtar Benghazi
      Pages 168-184

    4. Automated Generation of BPMN Processes from Textual Requirements

      • Quentin Nivon, Gwen Salaün
      Pages 185-201

    5. Plug-and-Play Performance Estimation for LLM Services without Relying on Labeled Data

      • Can Wang, Dianbo Sui, Hongliang Sun, Hao Ding, Bolin Zhang, Zhiying Tu
      Pages 202-217

    6. UELLM: A Unified and Efficient Approach for Large Language Model Inference Serving

      • Yiyuan He, Minxian Xu, Jingfeng Wu, Wanyi Zheng, Kejiang Ye, Chengzhong Xu
      Pages 218-235

    7. Service-Oriented Requirements Elicitation Through Systematic Questionnaire Design: A Problem-Driven GenAI Approach

      • Julie Rauer, To Kim Bao Pham, Sam Supakkul, Tom Hill, Lawrence Chung
      Pages 236-252
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Other volumes

  1. Service-Oriented Computing

  2. Service-Oriented Computing

Editors and Affiliations

  • Telecom SudParis, Évry, France

    Walid Gaaloul

  • Macquarie University, Sydney, Australia

    Michael Sheng

  • Rochester Institute of Technology, Rochester, USA

    Qi Yu

  • LAAS-CNRS, Toulouse, France

    Sami Yangui

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