Description

Book Synopsis

.- 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.

ServiceOriented Computing

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Order before 4pm tomorrow for delivery by Fri 23 Jan 2026.

A Paperback by Walid Gaaloul

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    View other formats and editions of ServiceOriented Computing by Walid Gaaloul

    Publisher: Springer
    Publication Date: 12/7/2024
    ISBN13: 9789819608072, 978-9819608072
    ISBN10: 9819608074
    Also in:
    Software Engineering

    Description

    Book Synopsis

    .- 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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