An increasing number and diversity of services are available, which results in significant challenges to effectively reuse service during mashup creation. Many works have modeled the creation problem as a recommendation task achieved remarkable results. However, performance these methods can be further improved. The main problems affecting include constraints among recommended services, evolution semantic gap existing mashups. In this article, we model bundle that is formally defined address...

Cloud and edge computing have been widely adopted in many application scenarios. With the increasing demand of fast iteration complexity business logic, it is challenging to achieve rapid development continuous delivery such highly distributed cloud environment. At present, microservice-based architecture has dominant deployment style, a microservice system evolve agilely offer stable Quality Service (QoS) situation where user requirement changes frequently. A lot research conducted...

In recent years, the development of online social network platforms has led to increased research efforts in recommendation systems. Unlike traditional systems, systems utilize both user-item interactions and user-user relations recommend relevant items, taking into account homophily influence. Graph neural (GNN)-based methods have been proposed model these item effectively. However, existing GNN-based rely on centralized training, which raises privacy concerns faces challenges data...

Silicon photonics has become one of the major technologies in this very information age.It been intensively pursued by researchers and entrepreneurs all over world recent years.Achieving large scale silicon photonic integration, particularly monolithic is final goal so that high density data communication will much cheaper, more reliable, less energy consuming.Comparing with developed countries, China may need to invest develop top down nanoscale integration capability (more on processing...

In the past years, "group psychology" has been fully utilized in service recommendation. The wide use of collaborative filtering recommendation and user's trust rating have proved its success. Content-based further optimizes accuracy by strengthening analysis on contents. However, existing works pay little attention to content details their underlying semantic correlations. This paper proposes a knowledge graph based method that comprehensively considers both community effect We build for...

Classical services computing tasks such as service design and recommendation need to comprehensively consider objective Quality of Services (QoS) subjective Experiences (QoE) users. There are close relationships between QoS QoE, how construct an accurate QoS/QoE correlation model has been a hot topic in academia for years. Particularly, it is challenge complex composite that composed their corresponding providers from multiple domains. This because the number parameters huge while QoE...

Various types of services, such as web APIs, IoT O2O and many others, have flooded on the Internet. Interconnections among these services resulted in a new phenomenon called "Internet Services" (IoS). By IoS, people don't need to request multiple by themselves fulfill their daily requirements, but it is an IoS platform that responsible for constructing integrated solutions them. Since user requirements (URs) are usually coarse-grained transboundary, platforms integrate from domains...

Dynamic link prediction has become a trending research subject because of its wide applications in the web, sociology, transportation, and bioinformatics. Currently, prevailing approach for dynamic is based on graph neural networks, which representation learning key to perform tasks. However, there are still great challenges structure graphs evolves over time. A common represent as collection discrete snapshots, information period aggregated through summation or averaging. This way results...

A key issue in big service era is how to optimallyconfigure and operate existing resources serve variousrequirements of customers, i.e., reuse available servicecomponents develop new systems fulfill massiveindividualized requirements effectively efficiently. In termsof this challenge, paper we present a paradigmfor software engineering called RE2SEP (Requirement-Engineering Two-Phase Service Engineering Paradigm) which iscomposed three components: service-oriented requirementengineering...

In computer vision, image recognition is a noteworthy and hot research area which develops rapidly. The principal task of this technique to automatically predict pre-defined categories an might belong to. Traditional targets classify images into diversified highly distinguished categories. However, Fine-Grained Image Recognition (FGIR) aims recognize the variances among categorized in subordinate classes, e.g., species birds, types cars or flowers, are equivalent "species" Taxonomy certain...