Papers Service Composition
“Service Composition” 태그가 달린 논문 45편 · 필터 해제
RLHGNN: Reinforcement Learning-driven Heterogeneous Graph Neural Network for Next Activity Prediction in Business Processes
Next activity prediction represents a fundamental challenge for optimizing business processes in service-oriented architectures such as microservices environments, distributed enterprise systems, and cloud-native platfor…
Activity PredictionGraph Neural NetworkService CompositionDisrupting Vision-Language Model-Driven Navigation Services via Adversarial Object Fusion
We present Adversarial Object Fusion (AdvOF), a novel attack framework targeting vision-and-language navigation (VLN) agents in service-oriented environments by generating adversarial 3D objects. While foundational model…
Language ModelingLanguage ModellingObjectService Composition+1Retrieval-Augmented Generation for Service Discovery: Chunking Strategies and Benchmarking
Integrating multiple (sub-)systems is essential to create advanced Information Systems. Difficulties mainly arise when integrating dynamic environments, e.g., the integration at design time of not yet existing services. …
BenchmarkingChunkingRAGRetrieval+2Adopting Large Language Models to Automated System Integration
Modern enterprise computing systems integrate numerous subsystems to resolve a common task by yielding emergent behavior. A widespread approach is using services implemented with Web technologies like REST or OpenAPI, wh…
RAGRetrieval-augmented GenerationService CompositionAdvanced System Integration: Analyzing OpenAPI Chunking for Retrieval-Augmented Generation
Integrating multiple (sub-)systems is essential to create advanced Information Systems (ISs). Difficulties mainly arise when integrating dynamic environments across the IS lifecycle. A traditional approach is a registry …
ChunkingRAGRetrievalRetrieval-augmented Generation+1Review of Cloud Service Composition for Intelligent Manufacturing
Intelligent manufacturing is a new model that uses advanced technologies such as the Internet of Things, big data, and artificial intelligence to improve the efficiency and quality of manufacturing production. As an impo…
Service CompositionMulti-service collaboration and composition of cloud manufacturing customized production based on problem decomposition
Cloud manufacturing system is a service-oriented and knowledge-based one, which can provide solutions for the large-scale customized production. The service resource allocation is the primary factor that restricts the pr…
Problem DecompositionService CompositionComposition of Nondeterministic and Stochastic Services for LTLf Task Specifications
In this paper, we study the composition of services so as to obtain runs satisfying a task specification in Linear Temporal Logic on finite traces (LTLf). We study the problem in the case services are nondeterministic an…
Service CompositionAn AI Chatbot for Explaining Deep Reinforcement Learning Decisions of Service-oriented Systems
Deep Reinforcement Learning (Deep RL) is increasingly used to cope with the open-world assumption in service-oriented systems. Deep RL was successfully applied to problems such as dynamic service composition, job schedul…
ChatbotDecision MakingDeep Reinforcement LearningPrompt Engineering+2Service Composition in the ChatGPT Era
The paper speculates about how ChatGPT-like systems can support the field of automated service composition and identifies new research areas to explore in order to take advantage of such tools in the field of service-ori…
Service CompositionEnergy Loss Prediction in IoT Energy Services
We propose a novel Energy Loss Prediction(ELP) framework that estimates the energy loss in sharing crowdsourced energy services. Crowdsourcing wireless energy services is a novel and convenient solution to enable the ubi…
PredictionService CompositionOptimization of Resource Service Composition in Cloud Manufacture Based on Improved Genetic and Ant Colony Algorithm
Aiming at resource service composition optimization under cloud manufacturing, a service composition and optimization objective function model for cloud manufacturing resource based on quality of service was established…
Service CompositionHSC-Rocket: An interactive dialogue assistant to make agents composing service better through human feedback
Facing the current dynamic service environment, fast and efficient service composition has attracted great attention in recent years. Users prefer to express their personal requirements based on natural language, and the…
Service CompositionQoS-aware Big Service Composition using Distributed Co-Evolutionary Algorithm
Big services are collections of interrelated web services across virtual and physical domains, processing Big Data. Existing service selection and composition algorithms fail to achieve the global optimum solution in a r…
DiversityMultiobjective OptimizationService CompositionFES: A Fast Efficient Scalable QoS Prediction Framework
Quality-of-Service prediction of web service is an integral part of services computing due to its diverse applications in the various facets of a service life cycle, such as service composition, service selection, servic…
Collaborative FilteringPredictionService CompositionDrone-as-a-Service Composition Under Uncertainty
We propose an uncertainty-aware service approach to provide drone-based delivery services called Drone-as-a-Service (DaaS) effectively. Specifically, we propose a service model of DaaS based on the dynamic spatiotemporal…
SchedulingService CompositionHeuristics based Mosaic of Social-Sensor Services for Scene Reconstruction
We propose a heuristics-based social-sensor cloud service selection and composition model to reconstruct mosaic scenes. The proposed approach leverages crowdsourced social media images to create an image mosaic to recons…
Service CompositionAn energy efficient service composition mechanism using a hybrid meta-heuristic algorithm in a mobile cloud environment
By increasing mobile devices in technology and human life, using a runtime and mobile services has gotten more complex along with the composition of a large number of atomic services. Different services are provided by m…
Service CompositionRelational Model for Parameter Description in Automatic Semantic Web Service Composition
Automatic Service Composition is a research direction aimed at facilitating the usage of atomic web services. Particularly, the goal is to build workflows of services that solve specific queries, which cannot be resolved…
Service CompositionSocial-Sensor Composition for Tapestry Scenes
The extensive use of social media platforms and overwhelming amounts of imagery data creates unique opportunities for sensing, gathering and sharing information about events. One of its potential applications is to lever…
ClusteringService Composition