2021 IEEE International Conference on Web Services (ICWS)最新文献_第5页

An Efficient Algorithm for Service Function Chains Reconfiguration in Mobile Edge Cloud Networks 移动边缘云网络中业务功能链重构的有效算法

2021 IEEE International Conference on Web Services (ICWS) Pub Date : 2021-09-01 DOI: 10.1109/ICWS53863.2021.00062

Biyi Li, B. Cheng, Junliang Chen

{"title":"An Efficient Algorithm for Service Function Chains Reconfiguration in Mobile Edge Cloud Networks","authors":"Biyi Li, B. Cheng, Junliang Chen","doi":"10.1109/ICWS53863.2021.00062","DOIUrl":"https://doi.org/10.1109/ICWS53863.2021.00062","url":null,"abstract":"Mobile Edge Computing (MEC) supports ultra-low latency and high-bandwidth services as an emerging network architecture by deploying servers at the edge of the network to provide computing and storage resources. Along with the MEC technology, Network Function Virtualization (NFV) provisions Service Function Chains (SFC) on MEC servers to improve user service experience and achieve fast access to the mobile user. However, users are constantly moving in the edge network, and different users usually have different delay requirements for service requests. To guarantee the QoS of mobile users, it is necessary to migrate SFCs to an advisable edge server when users move across Base Stations (BS). This paper focuses on the SFCs reconfiguration scheme with resource capacity constraints in the MEC network to support the seamless migration of mobile user services. We first formalize the SFCs reconfiguration problem of the edge network as a mathematical model, which aims to minimize the end-to-end delay and operating costs of user services. Then, we convert the problem into an equivalent shortest path problem and design a Dynamic Programmingbased SFC Migration algorithm (DPSM). Finally, we conduct simulation experiments to evaluate the performance of the algorithm based on a real-world dataset. The experiment results show the effectiveness and efficiency of our algorithm.","PeriodicalId":213320,"journal":{"name":"2021 IEEE International Conference on Web Services (ICWS)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127531775","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 2

An API Learning Service for Inexperienced Developers Based on API Knowledge Graph 基于API知识图谱的面向无经验开发人员的API学习服务

2021 IEEE International Conference on Web Services (ICWS) Pub Date : 2021-09-01 DOI: 10.1109/ICWS53863.2021.00043

Hang Yin, Yuanhao Zheng, Yanchun Sun, Gang Huang

引用次数: 3

Services for Zero Trust Architectures - A Research Roadmap 零信任架构的服务——研究路线图

2021 IEEE International Conference on Web Services (ICWS) Pub Date : 2021-09-01 DOI: 10.1109/ICWS53863.2021.00016

E. Bertino, Kenneth Brancik

引用次数: 5

DGPF:A Dialogue Goal Planning Framework for Cognitive Service Conversational Bot 认知服务会话机器人的对话目标规划框架

2021 IEEE International Conference on Web Services (ICWS) Pub Date : 2021-09-01 DOI: 10.1109/ICWS53863.2021.00051

Bolin Zhang, Zhiying Tu, Yangqin Jiang, Shufan He, Guoqing Chao, Dian-Hui Chu, Xiaofei Xu

{"title":"DGPF:A Dialogue Goal Planning Framework for Cognitive Service Conversational Bot","authors":"Bolin Zhang, Zhiying Tu, Yangqin Jiang, Shufan He, Guoqing Chao, Dian-Hui Chu, Xiaofei Xu","doi":"10.1109/ICWS53863.2021.00051","DOIUrl":"https://doi.org/10.1109/ICWS53863.2021.00051","url":null,"abstract":"With the development of human-machine dialogue technology, more and more companies have launched their cognitive service products, such as Virtual Personal Assistant (VPA), smart speakers, shopping guide robots, etc. However, in these practical applications, most of the bots passively respond to user's utterances, lacking user preference knowledge and the proactive consciousness to lead the dialogue. Therefore, it is essential that bots proactively and naturally lead the dialogue from chitchat to service recommendation to meet user's requirements. To address this challenge, bots not only needs to detect the user's dialogue goal in real time, but also needs to plan a goal sequence based on user profile. In this paper, we propose DGPF, a Dialogue Goal Planning Framework. DGPF plans a reasonable goal sequence grounded on user's interests and personal KB before the conversation, additionally predicts user's true intent (i.e. dialogue goal) and judges whether the goal is completed based on the utterances during the conversation. DGPF includes a novel joint learning model that can simultaneously fix the two sub-tasks of goal completion estimation as well as current goal prediction, and improve each other's performance interactively. Our experimental results on the open dataset DuRecDial have been significantly improved compared to the baseline, which proves the effectiveness of our framework.","PeriodicalId":213320,"journal":{"name":"2021 IEEE International Conference on Web Services (ICWS)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116490395","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 5

MemTrust: Find Deep Trust in Your Mind MemTrust:在你的头脑中找到深深的信任

2021 IEEE International Conference on Web Services (ICWS) Pub Date : 2021-09-01 DOI: 10.1109/ICWS53863.2021.00081

Yanwei Xu, Zhiyong Feng, Xiao Xue, Shizhan Chen, Hongyue Wu, Xiaoping Zhou, Meng Xing, Hongqi Chen

引用次数: 1

An Edge based Federated Learning Framework for Person Re-identification in UAV Delivery Service 基于边缘的无人机配送服务人员再识别联邦学习框架

2021 IEEE International Conference on Web Services (ICWS) Pub Date : 2021-09-01 DOI: 10.1109/ICWS53863.2021.00070

Chong Zhang, Xiao Liu, Jia Xu, Tianxiang Chen, Gang Li, Frank Jiang, Xuejun Li

{"title":"An Edge based Federated Learning Framework for Person Re-identification in UAV Delivery Service","authors":"Chong Zhang, Xiao Liu, Jia Xu, Tianxiang Chen, Gang Li, Frank Jiang, Xuejun Li","doi":"10.1109/ICWS53863.2021.00070","DOIUrl":"https://doi.org/10.1109/ICWS53863.2021.00070","url":null,"abstract":"AI (Artificial Intelligence) technology has been widely used in smart systems which usually require computing services with high availability and fast response. However, the rapid growth of data and service requests generated by end devices brings critical challenges to the centralised cloud computing paradigm in terms of network bandwidth, reliability and response time. In addition, the problem of data privacy is arising due to a large amount of data being transferred to the cloud server. Recently, edge computing is becoming a popular platform for smart systems as its provisions computing services close to the end devices, and Federated Learning (FL) is emerging as a promising solution for AI applications to address the data privacy issue. Inspired by their success, in this paper, we propose an edge based FL framework named Fed-UAV to solve the person reidentification problem in the UAV delivery service which is a typical AI application in smart logistics. This framework enables the UAV to efficiently locate the target receivers, and effectively reduce the data transmission between the UAV and the cloud server to improve the response time and protect the data privacy. Comprehensive experiments are conducted on three real-world datasets, and the experimental result successfully demonstrates that Fed-UAV can achieve both high accuracy and efficiency in person re-identification while protecting data privacy.","PeriodicalId":213320,"journal":{"name":"2021 IEEE International Conference on Web Services (ICWS)","volume":"83 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116171624","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 5

QoS Prediction for Web Services via Combining Multi-component Graph Convolutional Collaborative Filtering and Deep Factorization Machine 基于多分量图卷积协同过滤和深度分解机的Web服务QoS预测

2021 IEEE International Conference on Web Services (ICWS) Pub Date : 2021-09-01 DOI: 10.1109/ICWS53863.2021.00076

Linghang Ding, Guosheng Kang, Jianxun Liu, Yong Xiao, Buqing Cao

{"title":"QoS Prediction for Web Services via Combining Multi-component Graph Convolutional Collaborative Filtering and Deep Factorization Machine","authors":"Linghang Ding, Guosheng Kang, Jianxun Liu, Yong Xiao, Buqing Cao","doi":"10.1109/ICWS53863.2021.00076","DOIUrl":"https://doi.org/10.1109/ICWS53863.2021.00076","url":null,"abstract":"QoS prediction for Web Services is becoming increasingly important for various QoS-aware Web Services management tasks. However, the existing methods for QoS prediction of Web Services have some drawbacks, such as poor performance in dealing with data sparsity, insufficient consideration of latent information in user-service interaction behavior, and no consideration on discriminating the weight of latent information. To address these shortcomings, this paper proposes a QoS Prediction approach via combining multi-component graph convolutional collaborative filtering and deep factorization machine. A user-service bipartite graph is constructed, and the edges of the graph are decomposed into multiple latent spaces with node-level attention to identify latent components. Then, the importances of latent components are determined, and they are aggregated to obtain the corresponding user-service embedding vectors. Finally, the embedding vectors are taken as the input of a deep factorization machines model to obtain the prediction of unknown QoS. Extensive experiments are conducted on a real-world dataset. The experimental results demonstrate that MGCCF-DFM achieves superior prediction accuracy in terms of mean absolute error (MAE) and root mean square error (RMSE) compared with the existing QoS prediction techniques.","PeriodicalId":213320,"journal":{"name":"2021 IEEE International Conference on Web Services (ICWS)","volume":"66 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126296263","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 4

An Assurance-Based Risk Management Framework for Distributed Systems 基于保证的分布式系统风险管理框架

2021 IEEE International Conference on Web Services (ICWS) Pub Date : 2021-09-01 DOI: 10.1109/ICWS53863.2021.00068

M. Anisetti, C. Ardagna, Nicola Bena, Andrea Foppiani

{"title":"An Assurance-Based Risk Management Framework for Distributed Systems","authors":"M. Anisetti, C. Ardagna, Nicola Bena, Andrea Foppiani","doi":"10.1109/ICWS53863.2021.00068","DOIUrl":"https://doi.org/10.1109/ICWS53863.2021.00068","url":null,"abstract":"The advent of cloud computing and Internet of Things (IoT) has deeply changed the design and operation of IT systems, affecting mature concepts like trust, security, and privacy. The benefits in terms of new services and applications come at a price of new fundamental risks, and the need of adapting risk management frameworks to properly understand and address them. While research on risk management is an established practice that dates back to the 90s, many of the existing frameworks do not even come close to address the intrinsic complexity and heterogeneity of modern systems. They rather target static environments and monolithic systems thus undermining their usefulness in real-world use cases. In this paper, we present an assurance-based risk management framework that addresses the requirements of risk management in modern distributed systems. The proposed framework implements a risk management process integrated with assurance techniques. Assurance techniques monitor the correct behavior of the target system, that is, the correct working of the mechanisms implemented by the organization to mitigate the risk. Flow networks compute risk mitigation and retrieve the residual risk for the organization. The performance and quality of the framework are evaluated in a simulated industry 4.0 scenario.","PeriodicalId":213320,"journal":{"name":"2021 IEEE International Conference on Web Services (ICWS)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126252309","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 3

To Wait or To Buy: A Recommendation Service for Airline Ticket Purchase Timing 等待还是购买:机票购买时机的推荐服务

2021 IEEE International Conference on Web Services (ICWS) Pub Date : 2021-09-01 DOI: 10.1109/ICWS53863.2021.00031

Jian Cao, Yuchang Xu

引用次数: 2

A Uniform Quantum Computing Model based on Virtual Quantum Processors 基于虚拟量子处理器的统一量子计算模型

2021 IEEE International Conference on Web Services (ICWS) Pub Date : 2021-09-01 DOI: 10.1109/ICWS53863.2021.00018

Georg Gesek

{"title":"A Uniform Quantum Computing Model based on Virtual Quantum Processors","authors":"Georg Gesek","doi":"10.1109/ICWS53863.2021.00018","DOIUrl":"https://doi.org/10.1109/ICWS53863.2021.00018","url":null,"abstract":"What else than Hybrid Quantum Computing will dominate data centers, just within a decade? But until now, it is unclear how precisely such high-performance computers will be constructed, even the fundamental functionality is in question. Thus, it is very hard to prepare today, from a programmer perspective, in-depth for the anticipated near-term programming paradigm shift due to quantum computers. Furthermore, the industry is reluctant to invest heavily into quantum software development right now, since under this uncertainty regarding the future development of hardware and Cloud services, no one would like to see all these efforts to be ruined by a novel technology, an unforeseen new machine, which would eradicate the software in place, which the industry had developed so costly. This calls for a more generic view on Hybrid Quantum Computing, on one hand hardware agnostic, but still anticipating the fundamental laws of nature which rule any future quantum computing system, regardless of its engineered excellence. This generalization can be done with the introduction of a Virtual Quantum Processor, a piece of imaginary hardware, which is described detailed enough, to emulate a generic hybrid quantum machine based on a set of instructions within a Turing machine. If this could be accomplished, we would retrieve a Uniform Computing Model for Hybrid Quantum Software, which can be applied later to any physical representation of quantum computing hardware, but would run already today on our current machines.","PeriodicalId":213320,"journal":{"name":"2021 IEEE International Conference on Web Services (ICWS)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133469540","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0