LEADER 05800nam 22006615 450 001 996635663703316 005 20251225183612.0 010 $a9789819608089$b(electronic bk.) 010 $z9789819608072 024 7 $a10.1007/978-981-96-0808-9 035 $a(MiAaPQ)EBC31821777 035 $a(Au-PeEL)EBL31821777 035 $a(CKB)36840820600041 035 $a(DE-He213)978-981-96-0808-9 035 $a(OCoLC)1478700679 035 $a(EXLCZ)9936840820600041 100 $a20241207d2025 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aService-Oriented Computing $e22nd International Conference, ICSOC 2024, Tunis, Tunisia, December 3?6, 2024, Proceedings, Part II /$fedited by Walid Gaaloul, Michael Sheng, Qi Yu, Sami Yangui 205 $a1st ed. 2025. 210 1$aSingapore :$cSpringer Nature Singapore :$cImprint: Springer,$d2025. 215 $a1 online resource (406 pages) 225 1 $aLecture Notes in Computer Science,$x1611-3349 ;$v15405 311 08$aPrint version: Gaaloul, Walid Service-Oriented Computing Singapore : Springer,c2025 9789819608072 327 $a -- 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. 330 $aThe two-volume set LNCS 15404 and 15405 constitutes the refereed proceedings of the 22nd International Conference on Service-Oriented Computing, ICSOC 2024, held in Tunis, Tunisia, during December 3?6, 2024. The 38 full papers and 19 short papers presented in these proceedings were carefully reviewed and selected from 255 submissions. The papers are organized in the following topical sections: Part I: Edge and IoT; Generative AI; Service Security and Privacy; and Processes and Workflows. Part II: Cloud Computing; QoS and SLA; Microservice; Service Recommendation; Emerging Technologies and Approaches; Service Composition; Blockchain; and Industry Papers. 410 0$aLecture Notes in Computer Science,$x1611-3349 ;$v15405 606 $aSoftware engineering 606 $aComputer networks 606 $aArtificial intelligence 606 $aApplication software 606 $aSoftware Engineering 606 $aComputer Communication Networks 606 $aArtificial Intelligence 606 $aComputer and Information Systems Applications 615 0$aSoftware engineering. 615 0$aComputer networks. 615 0$aArtificial intelligence. 615 0$aApplication software. 615 14$aSoftware Engineering. 615 24$aComputer Communication Networks. 615 24$aArtificial Intelligence. 615 24$aComputer and Information Systems Applications. 676 $a005.1 700 $aGaaloul$b Walid$01782623 701 $aSheng$b Quan Z$0885386 701 $aYu$b Qi$01782624 701 $aYangui$b Sami$01782625 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 912 $a996635663703316 996 $aService-Oriented Computing$94462712 997 $aUNISA