Pub Date : 2021-09-01DOI: 10.1109/services51467.2021.00043
Zhengzuo Li, Zhiying Tu, Bo Liu, Dianhui Chu, Chunshan Li
In recent years, soft service robot(e-SBOT) that can exist in any intelligent terminal have received widespread attention. However, currently the services provided by e-SBOT are extremely limited. This defect mostly dues to two problems, one is that the inaccuracy of capturing user’s need caused by incomplete understanding, the other is that the richness, diversity and complexity of service resources make it difficult to select appropriate resources. The existing service resource library is mainly based on the digital world and lacks a unified description and management of service resources both in digital and physical world. In addition, it is mostly useless to recommend service resources that do not match the user’s current scenario, resulting in a worse experience. Therefore, it’s essential to describe the service resources in combination with the scene and provide the service resources that adapted to the scenario to users in a more accurate and rapid way. To achieve this, we propose a scenario-based service resource description model based on ontology modeling. A multi-view retrieval method is simultaneously developed for rapid retrieval of service resources. Experimental results show that our proposed model and method can improve the retrieval speed and accurately return service resources suitable for user scenarios.
{"title":"Multi-view Scenario-based Service Resource Description Modeling and Application Method","authors":"Zhengzuo Li, Zhiying Tu, Bo Liu, Dianhui Chu, Chunshan Li","doi":"10.1109/services51467.2021.00043","DOIUrl":"https://doi.org/10.1109/services51467.2021.00043","url":null,"abstract":"In recent years, soft service robot(e-SBOT) that can exist in any intelligent terminal have received widespread attention. However, currently the services provided by e-SBOT are extremely limited. This defect mostly dues to two problems, one is that the inaccuracy of capturing user’s need caused by incomplete understanding, the other is that the richness, diversity and complexity of service resources make it difficult to select appropriate resources. The existing service resource library is mainly based on the digital world and lacks a unified description and management of service resources both in digital and physical world. In addition, it is mostly useless to recommend service resources that do not match the user’s current scenario, resulting in a worse experience. Therefore, it’s essential to describe the service resources in combination with the scene and provide the service resources that adapted to the scenario to users in a more accurate and rapid way. To achieve this, we propose a scenario-based service resource description model based on ontology modeling. A multi-view retrieval method is simultaneously developed for rapid retrieval of service resources. Experimental results show that our proposed model and method can improve the retrieval speed and accurately return service resources suitable for user scenarios.","PeriodicalId":210534,"journal":{"name":"2021 IEEE World Congress on Services (SERVICES)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114998423","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}
Pub Date : 2021-09-01DOI: 10.1109/services51467.2021.00023
M. Cinque, Raffaele Della Corte, A. Pecchia
Monitoring is a core practice in any software system, and entails gathering a variety of data sources that pertain the execution of a given system. Trends in microservices systems exacerbate the role of monitoring. Microservices put forth reduced size, independency, flexibility and modularity principles, which well cope with ever-changing business environments. However, as real-world applications are decomposed, they can easily reach hundreds of microservices. This inherent complexity determines an increasing difficulty in debugging, monitoring and forensics, and poses novel challenges to monitoring data sources, such as event logs.
{"title":"Microservices Monitoring with Event Logs and Black Box Execution Tracing","authors":"M. Cinque, Raffaele Della Corte, A. Pecchia","doi":"10.1109/services51467.2021.00023","DOIUrl":"https://doi.org/10.1109/services51467.2021.00023","url":null,"abstract":"Monitoring is a core practice in any software system, and entails gathering a variety of data sources that pertain the execution of a given system. Trends in microservices systems exacerbate the role of monitoring. Microservices put forth reduced size, independency, flexibility and modularity principles, which well cope with ever-changing business environments. However, as real-world applications are decomposed, they can easily reach hundreds of microservices. This inherent complexity determines an increasing difficulty in debugging, monitoring and forensics, and poses novel challenges to monitoring data sources, such as event logs.","PeriodicalId":210534,"journal":{"name":"2021 IEEE World Congress on Services (SERVICES)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115277987","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}
Pub Date : 2021-09-01DOI: 10.1109/services51467.2021.00041
Lin Huang, Liya Wang, X. Ming
Online reviews, as the main way of information sharing after purchase, are latent with a large number of customer demands. A systematic method for identifying customers’ common and individual demands of products service based on online reviews is proposed in this paper. Firstly, based on LDA topic model, this method conducts topic mining on the collected review document corpus to filter out keywords and reviews which are related to product service. Then, based on the influence characteristics of reviews, a modified-Louvain algorithm is proposed to divide the word co-occurrence relationship network of product service keywords into communities. Finally, according to the result of community division, customers’ common demands and individual demands of products service can be identified and derived. This demand identification result can provide a more detailed, effective, targeted and predictive information support for product service modularization, so that can facilitate the design, configuration and optimization of the subsequent product service solutions.
{"title":"Identification of product service common and individual demands based on online reviews","authors":"Lin Huang, Liya Wang, X. Ming","doi":"10.1109/services51467.2021.00041","DOIUrl":"https://doi.org/10.1109/services51467.2021.00041","url":null,"abstract":"Online reviews, as the main way of information sharing after purchase, are latent with a large number of customer demands. A systematic method for identifying customers’ common and individual demands of products service based on online reviews is proposed in this paper. Firstly, based on LDA topic model, this method conducts topic mining on the collected review document corpus to filter out keywords and reviews which are related to product service. Then, based on the influence characteristics of reviews, a modified-Louvain algorithm is proposed to divide the word co-occurrence relationship network of product service keywords into communities. Finally, according to the result of community division, customers’ common demands and individual demands of products service can be identified and derived. This demand identification result can provide a more detailed, effective, targeted and predictive information support for product service modularization, so that can facilitate the design, configuration and optimization of the subsequent product service solutions.","PeriodicalId":210534,"journal":{"name":"2021 IEEE World Congress on Services (SERVICES)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122743005","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}
Pub Date : 2021-09-01DOI: 10.1109/services51467.2021.00008
{"title":"J1C2 Chairs Message","authors":"","doi":"10.1109/services51467.2021.00008","DOIUrl":"https://doi.org/10.1109/services51467.2021.00008","url":null,"abstract":"","PeriodicalId":210534,"journal":{"name":"2021 IEEE World Congress on Services (SERVICES)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124670366","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}
Pub Date : 2021-09-01DOI: 10.1109/services51467.2021.00038
Zhiyong Wu, Ke Meng, Xiukun Yan, Dayin Shi, Benjia Hu
In this paper, we address the problem of time and space overload in large-scale web service selection. According to user needs, determine a workflow specifying a set of ordered tasks, and each task has a varying number of candidate services providing the basic functions to complete the task and some other subsidiary functions, The goal of service selection is to select the most eligible service for each task. However, with the development and popularization of the Internet, the number of Web services has shown exponential growth. Choosing among a large number of Web services has once again become a research hotspot. In this work, we use Skyline technology to initially filter many candidate services, and then use abstraction refinement technology to complete services selection. Experiments show that compared with the original method, our approach can show significant performance advantages in terms of time.
{"title":"Abstraction Refinement Approach for Web Service Selection using Skyline Computations","authors":"Zhiyong Wu, Ke Meng, Xiukun Yan, Dayin Shi, Benjia Hu","doi":"10.1109/services51467.2021.00038","DOIUrl":"https://doi.org/10.1109/services51467.2021.00038","url":null,"abstract":"In this paper, we address the problem of time and space overload in large-scale web service selection. According to user needs, determine a workflow specifying a set of ordered tasks, and each task has a varying number of candidate services providing the basic functions to complete the task and some other subsidiary functions, The goal of service selection is to select the most eligible service for each task. However, with the development and popularization of the Internet, the number of Web services has shown exponential growth. Choosing among a large number of Web services has once again become a research hotspot. In this work, we use Skyline technology to initially filter many candidate services, and then use abstraction refinement technology to complete services selection. Experiments show that compared with the original method, our approach can show significant performance advantages in terms of time.","PeriodicalId":210534,"journal":{"name":"2021 IEEE World Congress on Services (SERVICES)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128398509","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}
Pub Date : 2021-09-01DOI: 10.1109/services51467.2021.00024
Maanak Gupta, James O. Benson, Farhan Patwa, R. Sandhu
Intelligent Transportation System (ITS) is a vision which offers safe, secure and smart travel experience to drivers. This futuristic plan aims to enable vehicles, roadside transportation infrastructures, pedestrian smart-phones and other devices to communicate with one another to provide safety and convenience services. Vehicle to Vehicle (V2V) and Vehicle to Infrastructure (V2I) communication in ITS offers ability to exchange speed, heading angle, position and other environment related conditions amongst vehicles and with surrounding smart infrastructures. V2V will enable vehicles to exchange information about speed, location, direction, or brake status with other surrounding vehicles where receiving vehicles will aggregate these messages and make decisions. These on-board applications will warn drivers about accidents, over-speed, slow traffic ahead, aggressive driver, blind spot or a road hazard. V2I will enable road side units (RSUs) or traffic infrastructures to transmit information about bridge permissible height, merging traffic, work zone warning or road hazard detection to complement V2V applications.
{"title":"Secure V2V and V2I Communication in Intelligent Transportation using Cloudlets","authors":"Maanak Gupta, James O. Benson, Farhan Patwa, R. Sandhu","doi":"10.1109/services51467.2021.00024","DOIUrl":"https://doi.org/10.1109/services51467.2021.00024","url":null,"abstract":"Intelligent Transportation System (ITS) is a vision which offers safe, secure and smart travel experience to drivers. This futuristic plan aims to enable vehicles, roadside transportation infrastructures, pedestrian smart-phones and other devices to communicate with one another to provide safety and convenience services. Vehicle to Vehicle (V2V) and Vehicle to Infrastructure (V2I) communication in ITS offers ability to exchange speed, heading angle, position and other environment related conditions amongst vehicles and with surrounding smart infrastructures. V2V will enable vehicles to exchange information about speed, location, direction, or brake status with other surrounding vehicles where receiving vehicles will aggregate these messages and make decisions. These on-board applications will warn drivers about accidents, over-speed, slow traffic ahead, aggressive driver, blind spot or a road hazard. V2I will enable road side units (RSUs) or traffic infrastructures to transmit information about bridge permissible height, merging traffic, work zone warning or road hazard detection to complement V2V applications.","PeriodicalId":210534,"journal":{"name":"2021 IEEE World Congress on Services (SERVICES)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121553929","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}
Pub Date : 2021-09-01DOI: 10.1109/services51467.2021.00010
{"title":"Message from the IWIOS Workshop Chairs","authors":"","doi":"10.1109/services51467.2021.00010","DOIUrl":"https://doi.org/10.1109/services51467.2021.00010","url":null,"abstract":"","PeriodicalId":210534,"journal":{"name":"2021 IEEE World Congress on Services (SERVICES)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131269389","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}
The distributed services from different domains, organizations, and regions in the real and virtual world are converged together to form the Internet of Services (IoS). It is required to provide a trusted, orderly and efficient platform environment for service collaboration and delivery. Blockchain is currently recognized as the best practice technique to solve the problem of orderly and trusted execution of system. However, the efficiency issue introduced by it is also a problem that every platform needs to take seriously. Therefore, this paper proposes a blockchain-based IoS architecture, which uses the virtual chain and the embedded EVM(Ethereum Virtual Machine) notary technology to ensure the security and credibility of the service collaboration process in the IoS, and also the efficient operation of the entire system. This architecture has been compared with non-blockchain architecture without credible guarantees and also blockchain-only architecture. This comparative experiment shows that the proposed architecture not only ensures the orderly and trusted execution of the system, but also effectively controls the loss of performance.
将现实世界和虚拟世界中不同领域、不同组织、不同地区的分布式服务融合在一起，形成服务互联网(Internet of services, IoS)。需要为服务协作和交付提供可信、有序、高效的平台环境。区块链是目前公认的解决系统有序可信执行问题的最佳实践技术。然而，由此带来的效率问题也是每个平台都需要认真对待的问题。因此，本文提出了一种基于区块链的IoS架构，利用虚拟链和嵌入式EVM(以太坊虚拟机)公证技术来保证IoS中服务协作过程的安全性和可信性，同时保证整个系统的高效运行。这种架构已经与没有可信保证的非区块链架构以及仅区块链架构进行了比较。对比实验表明，所提出的体系结构不仅保证了系统的有序可信执行，而且有效地控制了性能损失。
{"title":"A Blockchain-based Infrastructure for Distributed Internet of Services","authors":"Yuxin Wang, Zhiying Tu, Yunwen Bai, Haochen Yuan, Xiaofei Xu, Zhongjie Wang","doi":"10.1109/services51467.2021.00045","DOIUrl":"https://doi.org/10.1109/services51467.2021.00045","url":null,"abstract":"The distributed services from different domains, organizations, and regions in the real and virtual world are converged together to form the Internet of Services (IoS). It is required to provide a trusted, orderly and efficient platform environment for service collaboration and delivery. Blockchain is currently recognized as the best practice technique to solve the problem of orderly and trusted execution of system. However, the efficiency issue introduced by it is also a problem that every platform needs to take seriously. Therefore, this paper proposes a blockchain-based IoS architecture, which uses the virtual chain and the embedded EVM(Ethereum Virtual Machine) notary technology to ensure the security and credibility of the service collaboration process in the IoS, and also the efficient operation of the entire system. This architecture has been compared with non-blockchain architecture without credible guarantees and also blockchain-only architecture. This comparative experiment shows that the proposed architecture not only ensures the orderly and trusted execution of the system, but also effectively controls the loss of performance.","PeriodicalId":210534,"journal":{"name":"2021 IEEE World Congress on Services (SERVICES)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129598997","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}
Pub Date : 2021-09-01DOI: 10.1109/services51467.2021.00047
Gaojian Chen, Jing Wang, Qianwen Li, Yunjing Yuan
In the era of big data, data scientists gain insights from data and make decisions. However, when constructing a data analysis pipeline, data scientists are often required to be proficient in multiple algorithm models and theoretical foundations, and they have to select and combine multiple algorithm models, and repeatedly adjust algorithms and parameters to construct a high-performance data analysis pipeline. In response to the above problems, this paper proposes an exploratory service composition tool, which can perform real-time service recommendations according to users’ needs and data features, and assists users in constructing data analysis pipelines in an exploratory manner. This method can reduce the difficulty of data analysis, effectively save labor costs, and improve the quality and efficiency of data analysis.
{"title":"A Data-driven Exploratory Service Composition Tool for Data Scientists","authors":"Gaojian Chen, Jing Wang, Qianwen Li, Yunjing Yuan","doi":"10.1109/services51467.2021.00047","DOIUrl":"https://doi.org/10.1109/services51467.2021.00047","url":null,"abstract":"In the era of big data, data scientists gain insights from data and make decisions. However, when constructing a data analysis pipeline, data scientists are often required to be proficient in multiple algorithm models and theoretical foundations, and they have to select and combine multiple algorithm models, and repeatedly adjust algorithms and parameters to construct a high-performance data analysis pipeline. In response to the above problems, this paper proposes an exploratory service composition tool, which can perform real-time service recommendations according to users’ needs and data features, and assists users in constructing data analysis pipelines in an exploratory manner. This method can reduce the difficulty of data analysis, effectively save labor costs, and improve the quality and efficiency of data analysis.","PeriodicalId":210534,"journal":{"name":"2021 IEEE World Congress on Services (SERVICES)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133200090","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}
The mutual invocation and composition of services conduct the Internet of Services (IoS). Dynamic QoS is a prominent feature of IoS. Existing QoS-aware methods always consider the QoS as a static indicator to differentiate similar services, and attributes of QoS are independent of each other, which may lead to poor performance of service selection. In this paper, we proposed a real-time QoS-aware service selection method to find good service to match the users’ requirements, in which an FM-based dynamic evaluation model was employed to predict the real-time QoS, and then a hash space segment-based service matching algorithm is adopted to select service resources rapidly. Extensive experimental results show that mining the dynamic secondary characteristic relationship among the QoS attributes can improve the service selection effect on the real-world scene.
服务的相互调用和组合构成了服务互联网(Internet of services, IoS)。动态QoS是IoS的一个突出特性。现有的QoS感知方法通常将QoS作为区分同类服务的静态指标，QoS的属性相互独立，导致服务选择性能较差。本文提出了一种实时感知QoS的服务选择方法，通过基于fm的动态评价模型对实时QoS进行预测，然后采用基于哈希空间段的服务匹配算法对服务资源进行快速选择，从而找到满足用户需求的优质服务。大量的实验结果表明，挖掘QoS属性之间的动态次特征关系可以提高真实场景下的服务选择效果。
{"title":"A Fast Real-Time QoS-aware Service Selection Algorithm","authors":"Chunshan Li, Yongli Xiao, Zhiying Tu, Dianhui Chu, Chengrong Wang, Lanying Wang","doi":"10.1109/services51467.2021.00039","DOIUrl":"https://doi.org/10.1109/services51467.2021.00039","url":null,"abstract":"The mutual invocation and composition of services conduct the Internet of Services (IoS). Dynamic QoS is a prominent feature of IoS. Existing QoS-aware methods always consider the QoS as a static indicator to differentiate similar services, and attributes of QoS are independent of each other, which may lead to poor performance of service selection. In this paper, we proposed a real-time QoS-aware service selection method to find good service to match the users’ requirements, in which an FM-based dynamic evaluation model was employed to predict the real-time QoS, and then a hash space segment-based service matching algorithm is adopted to select service resources rapidly. Extensive experimental results show that mining the dynamic secondary characteristic relationship among the QoS attributes can improve the service selection effect on the real-world scene.","PeriodicalId":210534,"journal":{"name":"2021 IEEE World Congress on Services (SERVICES)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121824658","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}
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