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

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  • 製本 Paperback:紙装版/ペーパーバック版/ページ数 392 p.
  • 言語 ENG
  • 商品コード 9789819608072

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.

Contents

.- Cloud Computing.

.- Cost-Aware Dynamic Cloud Workflow Scheduling using Self-Attention and Evolutionary Reinforcement Learning.

.- LARE-HPA: Co-optimizing Latency and Resource Efficiency for Horizontal Pod Autoscaling in Kubernetes.

.- STORELESS: Serverless workflow scheduling with federated storage in sky computing.

.- Not Best but Fair: Achieving a Fair Service Deployment through Sky Computing for Latency-Sensitive Applications.

.- QoS and SLA.

.- Integrated QoS- and Vulnerability-driven Self-Adaptation for Microservices Applications.

.- SLO-Aware Task Offloading within Collaborative Vehicle Platoons.

.- Client-Specific Homogeneous Service Composition at Runtime for QoS-Critical Tasks.

.- Network SLO-Aware Container Orchestration on Kubernetes Clusters.

.- Microservice.

.- CSMO: The Cross-Supervision Method for Microservice Optimization through Decentralized Data Management.

.- BOAM: a Business-Oriented identification Approach of Microservices within legacy systems.

.- Motif-based Linearizing Graph Transformer for Web API Recommendation.

.- Leveraging a Microservice Architecture, Access Control and Interoperability Patterns to Manage Privacy-related User Consents.

.- Service recommendation.

,- Deep Reinforcement Learning Approach for Explainable Location-based service Recommendation.

.- A Toolchain for Checking Domain- and Model-driven Properties of Jolie Microservices.

.- GSL-Mash: Enhancing Mashup Creation Service Recommendations through Graph Structure Learning.

.- Emerging technologies and approaches.

.- Circuit scheduling policies on current QPUs: QCRAFT Scheduler.

.- MuSS: Multimodal Satellite Service for Unsupervised Land-Cover Classification.

.- HSC: An Artificial Intelligence Service Composition Dataset from Hugging Face.

.- Service composition.

.- Choreography-Defined Network - A Case Study in DoS Mitigation.

.- Racing the Market: An Industry Support Analysis for Pricing-Driven DevOps in SaaS.

.- Compositio Prompto: An Architecture to Employ Large Language Models in Automated Service Computing.

.- Composing Smart Data Services in Shop Floors through Large Language Models.

.- Blockchain.

.- A query language to enhance security and privacy of Blockchain as a Service (BaaS).

.- Blockchain Based Efficient Pairing-Free Certificateless Authentication Scheme for Vehicular Ad-hoc Network.

.- A Blockchain-Enhanced Framework for Privacy and Data Integrity in Crowdsourced Drone Services.

.- Towards an Automated Verification Approach for ERC-based Smart Contracts.

.- Industry Papers.

.- Weather-Conditioned Multi-Graph Network for Ride-Hailing Demand Forecasting.

.- BIS: NL2SQL Service Evaluation Benchmark for BI Scenarios.

.- How Do Infrastructure-as-Code Practitioners Update their Provider Dependencies? An Empirical Study on the AWS Provider.

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