Service-Oriented Computing : 22nd International Conference, ICSOC 2024, Tunis, Tunisia, December 3-6, 2024, Proceedings, Part I (Lecture Notes in Computer Science)

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Service-Oriented Computing : 22nd International Conference, ICSOC 2024, Tunis, Tunisia, December 3-6, 2024, Proceedings, Part I (Lecture Notes in Computer Science)

Gaaloul, Walid (EDT)/ Sheng, Michael (EDT)/ Yu, Qi (EDT)

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Springer Nature Switzerland AG（2024/12発売）
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ポイント 139pt

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製本 Paperback:紙装版/ペーパーバック版／ページ数 394 p.
言語 ENG
商品コード 9789819608041

Full Description

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.

.- Edge and IoT.

.- Efficient and Dependency-aware Placement of Serverless Functions on Edge Infrastructures.

.- POSEIDON: Efficient Function Placement at the Edge using Deep Reinforcement Learning.

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

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

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

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

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

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

.- Efficient Provisioning of IoT Energy Services.

.- Attention-driven Conflict Management in Smart IoT-based Systems.

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

.- Generative AI.

.- LLM Enhanced Representation For Cold Start Service Recommendation.

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

.- Automated Generation of BPMN Processes from Textual Requirements.

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

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

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

.- Assessing Large Language Models Effectiveness in Outdated Method Renaming.

.- Service Security and Privacy.

.- DynaEDI: Decentralized Integrity Verification for Dynamic Edge Data.

.- Heterogeneous Multi Relation Trust for SIoT Service Recommendation.

.- A Context-Aware Service Framework for Detecting Fake Images.

.- Bias Exposed: The BiaXposer Framework for NLP Fairness.

.- FlowShredder: Protocol-Independent In-Network Encryption for Rich Media Traffic.

.- Processes and workflows.

.- HiGPP: A History-informed Graph-based Process Predictor for Next Activity.

.- From Visual Choreographies to Flexible Information Protocols.

.- Architectural Elements of decentralized Process Management Systems.

.- LLM-based Business Process Documentation Generation.