Service-Oriented Computing

CHF 84.30
Auf Lager
SKU
7LMCRA25944
Stock 1 Verfügbar
Geliefert zwischen Mo., 02.02.2026 und Di., 03.02.2026

Details

The two-volume set LNCS 16320 and16321 constitutes the refereed proceedings of the 23rd International Conference on Service-Oriented Computing, ICSOC 2025, held in Shenzhen, China, during December 14, 2025.

The 42 full papers and 21 short papers presented in these proceedings were carefully reviewed and selected from 219 submissions. The papers are organized in the following topical sections:

Part I: Service Foundations; Service Recommendation and Selection; Microservice Architectures; Serverless Computing; and Services at the Edge.

Part II: Software as a Services and Cloud Infrastructure; Privacy, Security and Trust; Services and Business Processes; Quantum Service Computing; and Industrial Papers.


Inhalt

.- Software as a Services and Cloud Infrastructure .-IA-driven and QoS-aware Orchestration of Interdependent Services in the Cloud Continuum.-Integrating Terms of Service and Service Level Agreements for Automating Cloud Service Management.-SDS-Cloud: Secure Deduplication and Sharing Without Third-Party Authorities for Clouds.-iSubscription: Bridging the Gap Between Contracts and Runtime Access Control in SaaS.-OSAF: Open Service-Available First Routing Mechanism for Computing Power Network.-A-MINT: An LLM Pipeline for Automated Modeling of iPricings from SaaS Pricing Pages.-LightLoader: Accelerate Python FaaS Cold-start via Multi-level Source Code Optimization.-Bridging Service Diversity and CPU Heterogeneity through Program Similarity-Driven Scheduling.-Optimizing QoS fulfillment of Drone Services.-DIJS: A Dual Interference-aware Job Scheduling Framework for Co-located Data Centers.-QONNECT: A QoS-Aware Orchestration System for Distributed Kubernetes Clusters.- Privacy, Security and Trust .-Towards Trusted Service Monitoring: Verifiable Service Level Agreements.-A Service-Oriented Digital Twin Architecture for Seamless Reliability Verification of IoT Systems.-Detecting AI-Assisted Tampering in Crowdsourced IoT Service Trust Information.-LDP-QWSP: A General Local Differential Privacy Framework for QoS-based Web Service Prediction.-Privacy-Preserving Revenue Prediction in Service-Oriented Industrial Supply Chains.-SLIE: A Secure and Lightweight Cryptosystem for Data Sharing in IoT Healthcare Services.- Services and Business Processes .-P-MDP: A Framework to Optimize NFPs of Business Processes in Uncertain Environments.-Business Process Discovery through Agentic Generative AI.-Usage Control for Process Discovery through a Trusted Execution Environment.-GOProQ: A Graphical Query Language for Object-Centric Process Analysis.-BPMN4BC: A Simple BPMN Extension for Blockchain-Enabled Business Process Modeling.-ProcNet: Cross-Modal Process Recommendation via LLMs and GCNs.-Reliable and Configurable Process Simulations via Probabilistic White-Box Models.-MALL: A Mamba-Based Autoencoder Enhanced by an LLM for Multi-Perspective Business Process Anomaly Detection.- Quantum Service Computing .-AI-Driven Resource Optimization of Quantum Service Computing.-DeepQUBO: Quantum-Optimized Route Planning for Carpooling with Precedence-Constrained GTSP.- Industrial Papers .-IoT and LLM Supported Digital Twin Platform: A Case Study on a Net Zero Oriented Building.-Edge-Native Lightweight Model Design and Scheduling for Vehicle Localization Services.

Weitere Informationen

  • Allgemeine Informationen
    • GTIN 09789819550142
    • Genre Information Technology
    • Editor Marco Aiello, Shuiguang Deng, Juan-Manuel Murillo, Ilche Georgievski, Boualem Benatallah, Zhongjie Wang
    • Lesemotiv Verstehen
    • Anzahl Seiten 426
    • Größe H23mm x B155mm x T235mm
    • Jahr 2026
    • EAN 9789819550142
    • Format Kartonierter Einband (Kt)
    • ISBN 978-981-9550-14-2
    • Titel Service-Oriented Computing
    • Untertitel 23rd International Conference, ICSOC 2025, Shenzhen, China, December 1-4, 2025, Proceedings, Part II
    • Gewicht 669g
    • Herausgeber Springer, Berlin
    • Sprache Englisch

Bewertungen

Schreiben Sie eine Bewertung
Nur registrierte Benutzer können Bewertungen schreiben. Bitte loggen Sie sich ein oder erstellen Sie ein Konto.
Made with ♥ in Switzerland | ©2025 Avento by Gametime AG
Gametime AG | Hohlstrasse 216 | 8004 Zürich | Schweiz | UID: CHE-112.967.470
Kundenservice: customerservice@avento.shop | Tel: +41 44 248 38 38