The convergence of the Internet and traditional industries gives the birth to the crossover services, which break through the boundaries of domains, enterprises, and businesses. The design of the service pattern is one of the key points to the success of crossover services. Existing works are mainly aimed at resource and process convergence, unable to guide the design of whole crossover service. To address this issue, we propose a rule-based service pattern convergence framework for crossover service, which consists of participant convergence, resource convergence and service process convergence. In addition to summarizing the general rules of convergence, we introduce semantic similarity to promote deep pattern convergence. Finally, a case study is presented to prove the operability of this framework.
{"title":"A Rule-based Service Pattern Convergence Framework for Crossover Service","authors":"Jintao Chen, Jianwei Yin, Meng Xi, Siwei Tan, Yongna Wei, Shuiguang Deng","doi":"10.1109/ICSS50103.2020.00011","DOIUrl":"https://doi.org/10.1109/ICSS50103.2020.00011","url":null,"abstract":"The convergence of the Internet and traditional industries gives the birth to the crossover services, which break through the boundaries of domains, enterprises, and businesses. The design of the service pattern is one of the key points to the success of crossover services. Existing works are mainly aimed at resource and process convergence, unable to guide the design of whole crossover service. To address this issue, we propose a rule-based service pattern convergence framework for crossover service, which consists of participant convergence, resource convergence and service process convergence. In addition to summarizing the general rules of convergence, we introduce semantic similarity to promote deep pattern convergence. Finally, a case study is presented to prove the operability of this framework.","PeriodicalId":292795,"journal":{"name":"2020 International Conference on Service Science (ICSS)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121076078","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}
In recent years, DevOps(Combination of Development and Operations) is an emerging software engineering practice. More and more organizations have begun to adopt DevOps method. This paper develops an educational management information system(EMIS) based on jBPM initiated by the DevOps concept, and proposes a quantitative analysis method based on the analytic hierarchy process(AHP) for its system evaluation. Preliminary evaluation results show that this method can help us understand the maturity of the system's DevOps architecture.
近年来，DevOps(Combination of Development and Operations)是一种新兴的软件工程实践。越来越多的组织开始采用DevOps方法。本文基于DevOps概念发起的jBPM开发了一个教育管理信息系统(EMIS)，并提出了一种基于层次分析法(AHP)的定量分析方法对其系统进行评价。初步评估结果表明，该方法可以帮助我们了解系统DevOps架构的成熟度。
{"title":"An Analysis of DevOps Architecture for EMIS based on jBPM","authors":"Haide Liu, Q. Han, Yichen Wang, Feng He, Zijian Mao, Cong Li","doi":"10.1109/ICSS50103.2020.00023","DOIUrl":"https://doi.org/10.1109/ICSS50103.2020.00023","url":null,"abstract":"In recent years, DevOps(Combination of Development and Operations) is an emerging software engineering practice. More and more organizations have begun to adopt DevOps method. This paper develops an educational management information system(EMIS) based on jBPM initiated by the DevOps concept, and proposes a quantitative analysis method based on the analytic hierarchy process(AHP) for its system evaluation. Preliminary evaluation results show that this method can help us understand the maturity of the system's DevOps architecture.","PeriodicalId":292795,"journal":{"name":"2020 International Conference on Service Science (ICSS)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115713373","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 recommendation system could mine the user's behavior operation data and provide different personalized recommendation services for different users. The problems of inaccurate and incomplete description of patients' needs in internet medical service have brought great challenges to the recommendation of internet medical service. This paper takes the medical service field as the research object to improve the collaborative filtering algorithm in the recommendation system. Firstly, the static evaluation model based on doctor entity and hospital entity is established by using Analytic Hierarchy Process (AHP) model to realize the initial distribution of weight. Then, based on the evaluation methods of doctors and hospitals, the user interest model is established and K-means clustering is carried out for users, and dynamic recommendation is carried out to users by combining collaborative filtering recommendation method. The experimental results show that the proposed collaborative filtering recommendation model based on user interest clustering has smaller error, better recommendation effect and more accurate recommendation.
{"title":"An Internet Medical Service Recommendation Method based on Collaborative Filtering","authors":"Lei Wang, Qiang Zhang, Qing Qian, Jishuai Wang, Wenbo Cheng, Jindan Feng","doi":"10.1109/ICSS50103.2020.00013","DOIUrl":"https://doi.org/10.1109/ICSS50103.2020.00013","url":null,"abstract":"The recommendation system could mine the user's behavior operation data and provide different personalized recommendation services for different users. The problems of inaccurate and incomplete description of patients' needs in internet medical service have brought great challenges to the recommendation of internet medical service. This paper takes the medical service field as the research object to improve the collaborative filtering algorithm in the recommendation system. Firstly, the static evaluation model based on doctor entity and hospital entity is established by using Analytic Hierarchy Process (AHP) model to realize the initial distribution of weight. Then, based on the evaluation methods of doctors and hospitals, the user interest model is established and K-means clustering is carried out for users, and dynamic recommendation is carried out to users by combining collaborative filtering recommendation method. The experimental results show that the proposed collaborative filtering recommendation model based on user interest clustering has smaller error, better recommendation effect and more accurate recommendation.","PeriodicalId":292795,"journal":{"name":"2020 International Conference on Service Science (ICSS)","volume":"34 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116359724","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 : 2020-08-01DOI: 10.1109/ICSS50103.2020.00032
Zhongguo Yang, Weilong Ding, Zhongmei Zhang, Han Li, Mingzhu Zhang, Chen Liu
Many anomaly detection algorithms have been provided as services for more convenient and efficient utilization in IoT era. Due to concept drift existed in dynamic IoT stream data, it is a changeling task to apply proper anomaly detection services at run time. For effective on-line anomalous data discovery, this paper proposes a service selection framework to dynamically select and configure anomaly detection services. A fast classification model based on XGBoost is trained to identify the pattern of various stream data, so that suitable service can be selected and configured according to the pattern of stream data. Extensive experiments on real and synthetic data sets show that our framework can select suitable service for different scenarios, and the accuracy of the chosen services outperforms state-of-the-art methods.
{"title":"A Service Selection Framework for Anomaly Detection in IoT Stream Data","authors":"Zhongguo Yang, Weilong Ding, Zhongmei Zhang, Han Li, Mingzhu Zhang, Chen Liu","doi":"10.1109/ICSS50103.2020.00032","DOIUrl":"https://doi.org/10.1109/ICSS50103.2020.00032","url":null,"abstract":"Many anomaly detection algorithms have been provided as services for more convenient and efficient utilization in IoT era. Due to concept drift existed in dynamic IoT stream data, it is a changeling task to apply proper anomaly detection services at run time. For effective on-line anomalous data discovery, this paper proposes a service selection framework to dynamically select and configure anomaly detection services. A fast classification model based on XGBoost is trained to identify the pattern of various stream data, so that suitable service can be selected and configured according to the pattern of stream data. Extensive experiments on real and synthetic data sets show that our framework can select suitable service for different scenarios, and the accuracy of the chosen services outperforms state-of-the-art methods.","PeriodicalId":292795,"journal":{"name":"2020 International Conference on Service Science (ICSS)","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125225501","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 : 2020-08-01DOI: 10.1109/ICSS50103.2020.00033
Hongmei Cao, Xi Chen, Liang Zhang, Tiange Zhang, Xiaochun Xiao
To cope with the long-tailed changes, an annotation-based BPM approach has been proposed to adapts its behavior in a timely manner. It patches existing business process models rather than rebuilds models from scratch, which saves efforts and reacts to unforeseen changes quickly. However, the original annotation-based approach is at risk of improper annotations added that results in unexpected effects or leads to failure. To remedy this loophole, this paper proposes a syntax-directed annotation approach to guarantee sound reactions. we develop a scheme for designing domain specific languages based on abstract syntax trees and generating a syntax-directed editor automatically. As a result, all patched annotations on the process models are soundness guaranteed in terms of the domain specific language. Case studies demonstrate that proposed approach and tools can help domain experts to tackle long-tailed changes more easily guarantee the correct reactions.
{"title":"Guaranteeing Sound Reactions to Long-Tailed Changes: A Syntax-Directed Annotation Approach","authors":"Hongmei Cao, Xi Chen, Liang Zhang, Tiange Zhang, Xiaochun Xiao","doi":"10.1109/ICSS50103.2020.00033","DOIUrl":"https://doi.org/10.1109/ICSS50103.2020.00033","url":null,"abstract":"To cope with the long-tailed changes, an annotation-based BPM approach has been proposed to adapts its behavior in a timely manner. It patches existing business process models rather than rebuilds models from scratch, which saves efforts and reacts to unforeseen changes quickly. However, the original annotation-based approach is at risk of improper annotations added that results in unexpected effects or leads to failure. To remedy this loophole, this paper proposes a syntax-directed annotation approach to guarantee sound reactions. we develop a scheme for designing domain specific languages based on abstract syntax trees and generating a syntax-directed editor automatically. As a result, all patched annotations on the process models are soundness guaranteed in terms of the domain specific language. Case studies demonstrate that proposed approach and tools can help domain experts to tackle long-tailed changes more easily guarantee the correct reactions.","PeriodicalId":292795,"journal":{"name":"2020 International Conference on Service Science (ICSS)","volume":"43 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133061535","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 : 2020-08-01DOI: 10.1109/ICSS50103.2020.00026
Xu Zheng, F. Meng, Dianhui Chu, Qingran Ji
At present, in the “last mile” urban crowdsourcing distribution process, there are shortcomings such as unreasonable task assignment and unclear distribution path planning, which reduce the distribution efficiency and waste a lot of manpower and time. Aiming at these problems, this paper proposes a task scheduling scheme and mathematically models it. The optimization goal is to minimize the total distribution path length when all tasks are assigned. A variable neighborhood search algorithm (VNS) is designed, four neighborhood operations are constructed, and a selection probability is set for every neighborhood operation to reduce the solution time of the algorithm. In addition, a heuristic solving algorithm (HSA) is implemented as a comparison. The experimental results show that VNS has a higher solution quality in solving the urban crowdsourcing distribution task scheduling problem, and VNS can improve the scheduling efficiency of the urban crowdsourcing task.
{"title":"Optimal Scheduling Scheme for Urban Crowdsourcing Distribution Task Based on Path Planning","authors":"Xu Zheng, F. Meng, Dianhui Chu, Qingran Ji","doi":"10.1109/ICSS50103.2020.00026","DOIUrl":"https://doi.org/10.1109/ICSS50103.2020.00026","url":null,"abstract":"At present, in the “last mile” urban crowdsourcing distribution process, there are shortcomings such as unreasonable task assignment and unclear distribution path planning, which reduce the distribution efficiency and waste a lot of manpower and time. Aiming at these problems, this paper proposes a task scheduling scheme and mathematically models it. The optimization goal is to minimize the total distribution path length when all tasks are assigned. A variable neighborhood search algorithm (VNS) is designed, four neighborhood operations are constructed, and a selection probability is set for every neighborhood operation to reduce the solution time of the algorithm. In addition, a heuristic solving algorithm (HSA) is implemented as a comparison. The experimental results show that VNS has a higher solution quality in solving the urban crowdsourcing distribution task scheduling problem, and VNS can improve the scheduling efficiency of the urban crowdsourcing task.","PeriodicalId":292795,"journal":{"name":"2020 International Conference on Service Science (ICSS)","volume":"98 5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125860176","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 : 2020-08-01DOI: 10.1109/ICSS50103.2020.00029
Zhongguo Yang, Mingzhu Zhang, Zhongmei Zhang, Chen Liu, Han Li, Yuanyuan Lan
Information service is always a hot topic especially when web is accessible anywhere. In university, lecture information is very import for students and teachers who want to take part in academic meetings. Therefore, lecture news extraction is an important and imperative task. Although many open information extraction methods have been proposed, but due to the highly heterogeneity of website, this task is still a challenge. In this manuscript, we propose a method based on fusing multiple features to locate lecture news in university web site. These features including the organization structure of lecture news catalog webpage, the visual similarity and the semantic of webpage. Additionally, this paper provide an information service based on a main content extraction algorithm for extracting lecture information. The stable and invariant features enable the propose method could adaptive to many kinds of campus website. The experiments conducted on 50 websites show the effectiveness and efficiencies of provided service.
{"title":"Lecture Information Service based on Multiple Features Fusion","authors":"Zhongguo Yang, Mingzhu Zhang, Zhongmei Zhang, Chen Liu, Han Li, Yuanyuan Lan","doi":"10.1109/ICSS50103.2020.00029","DOIUrl":"https://doi.org/10.1109/ICSS50103.2020.00029","url":null,"abstract":"Information service is always a hot topic especially when web is accessible anywhere. In university, lecture information is very import for students and teachers who want to take part in academic meetings. Therefore, lecture news extraction is an important and imperative task. Although many open information extraction methods have been proposed, but due to the highly heterogeneity of website, this task is still a challenge. In this manuscript, we propose a method based on fusing multiple features to locate lecture news in university web site. These features including the organization structure of lecture news catalog webpage, the visual similarity and the semantic of webpage. Additionally, this paper provide an information service based on a main content extraction algorithm for extracting lecture information. The stable and invariant features enable the propose method could adaptive to many kinds of campus website. The experiments conducted on 50 websites show the effectiveness and efficiencies of provided service.","PeriodicalId":292795,"journal":{"name":"2020 International Conference on Service Science (ICSS)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126602811","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 : 2020-08-01DOI: 10.1109/ICSS50103.2020.00012
Mingyi Liu, Zhiying Tu, Jingying Wang, Zhongjie Wang
Services flourish drastically along with the trend of Everything as a Service (EaaS). Over the years, services have become more and more interconnected to facilitate trans-boundary collaboration in business and technology levels for creating and delivering distinct new values to customers. This phenomenon is called Internet of Services (IoS). IoS arises and evolves in terms of tremendous discrete decisions made by individual service stakeholders, and its structure and evolution show quite similar characteristics of the ones of natural ecosystems. We propose a novel multi-layer network model to describe the static structure and dynamic evolution traces of service ecosystems. Different from traditional models which are usually focused on specific service types and granularity levels, our model comprehensively covers the interconnections between stakeholders, services delivery channels, service functional and non-functional features and business domains. “Event” and “event chains” which are extracted from public news corpus are imported into the model as triggers of service ecosystem evolution and evolutionary relations are introduced into the model delineate evolution traces. Elements, relations, and application scenarios of this model are introduced in detail. Qualitative comparison with state-of-the-art models shows that our model has a higher degree of coverage of fine-grained elements/relations of service ecosystem and higher interpretability. Supplementary materials are provided to help understand how to build the model based on external data. In our opinion, this work lays a solid base for the exploration of structural characteristics and evolution laws of IoS.
随着一切即服务(EaaS)的趋势，服务蓬勃发展。多年来，各服务之间的联系日益紧密，在业务和科技层面促进跨界合作，为客户创造和传递独特的新价值。这种现象被称为服务互联网(Internet of Services, IoS)。IoS的产生和发展是基于个体服务利益相关者做出的大量离散决策，其结构和演变与自然生态系统非常相似。本文提出了一种新的多层网络模型来描述服务生态系统的静态结构和动态演化轨迹。与传统模型通常关注特定的服务类型和粒度级别不同，我们的模型全面覆盖了涉众、服务交付渠道、服务功能和非功能特征以及业务领域之间的相互联系。将从公共新闻语料库中提取的“事件”和“事件链”作为服务生态系统演化的触发器导入模型，并将演化关系引入模型，描绘演化轨迹。详细介绍了该模型的构成要素、关系和应用场景。与最先进的模型进行定性比较表明，我们的模型对服务生态系统的细粒度元素/关系具有更高的覆盖程度和更高的可解释性。本文还提供了补充资料，帮助理解如何基于外部数据构建模型。我们认为，这项工作为探索IoS的结构特征和演化规律奠定了坚实的基础。
{"title":"A Novel Multi-layer Network Model for Service Ecosystems","authors":"Mingyi Liu, Zhiying Tu, Jingying Wang, Zhongjie Wang","doi":"10.1109/ICSS50103.2020.00012","DOIUrl":"https://doi.org/10.1109/ICSS50103.2020.00012","url":null,"abstract":"Services flourish drastically along with the trend of Everything as a Service (EaaS). Over the years, services have become more and more interconnected to facilitate trans-boundary collaboration in business and technology levels for creating and delivering distinct new values to customers. This phenomenon is called Internet of Services (IoS). IoS arises and evolves in terms of tremendous discrete decisions made by individual service stakeholders, and its structure and evolution show quite similar characteristics of the ones of natural ecosystems. We propose a novel multi-layer network model to describe the static structure and dynamic evolution traces of service ecosystems. Different from traditional models which are usually focused on specific service types and granularity levels, our model comprehensively covers the interconnections between stakeholders, services delivery channels, service functional and non-functional features and business domains. “Event” and “event chains” which are extracted from public news corpus are imported into the model as triggers of service ecosystem evolution and evolutionary relations are introduced into the model delineate evolution traces. Elements, relations, and application scenarios of this model are introduced in detail. Qualitative comparison with state-of-the-art models shows that our model has a higher degree of coverage of fine-grained elements/relations of service ecosystem and higher interpretability. Supplementary materials are provided to help understand how to build the model based on external data. In our opinion, this work lays a solid base for the exploration of structural characteristics and evolution laws of IoS.","PeriodicalId":292795,"journal":{"name":"2020 International Conference on Service Science (ICSS)","volume":"100 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122027899","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 : 2020-08-01DOI: 10.1109/ICSS50103.2020.00027
Bangpeng Zheng, Jianwei Yin, Shengye Pang, Tao Zheng, Qunxi Tian
The increasing number of available open services demands distributed architectures to promote scalability to enable their precise and efficient retrieval. As web services proliferate, it is more and more difficult to find suitable services and further compose them into complex applications automatically. In this paper, a novel service infrastructure named Service Network(ServNet), which is constructed on the basis of service routers and service switches, is proposed to deploy and manage large-scale services. Furthermore, the zone routing algorithm (ZRA) combines the advantages of the proactive and reactive approaches by maintaining an up-to-date topological map of a zone centered on each service node. Experimental evaluations confirmed the efficiency in terms of accuracy of query and network traffic.
{"title":"A Zone Routing Algorithm for Service Network","authors":"Bangpeng Zheng, Jianwei Yin, Shengye Pang, Tao Zheng, Qunxi Tian","doi":"10.1109/ICSS50103.2020.00027","DOIUrl":"https://doi.org/10.1109/ICSS50103.2020.00027","url":null,"abstract":"The increasing number of available open services demands distributed architectures to promote scalability to enable their precise and efficient retrieval. As web services proliferate, it is more and more difficult to find suitable services and further compose them into complex applications automatically. In this paper, a novel service infrastructure named Service Network(ServNet), which is constructed on the basis of service routers and service switches, is proposed to deploy and manage large-scale services. Furthermore, the zone routing algorithm (ZRA) combines the advantages of the proactive and reactive approaches by maintaining an up-to-date topological map of a zone centered on each service node. Experimental evaluations confirmed the efficiency in terms of accuracy of query and network traffic.","PeriodicalId":292795,"journal":{"name":"2020 International Conference on Service Science (ICSS)","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116247616","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 : 2020-08-01DOI: 10.1109/ICSS50103.2020.00009
Mingyi Liu, Zhiying Tu, Hanchuan Xu, Xiaofei Xu, Zhongjie Wang
“Transboundary” has become a common phenomenon in today's Internet-based service industries. Service providers are not only focused on their original business domains but also extend their attentions to other domains. By aggregating and orchestrating services from different domains to form complex innovative transboundary services, distinct new values are created and delivered to customers. Along with increasing interconnections among services from different domains, many novel transboundary service ecosystems (TSE) emerge. In this paper, we give a six-layered conceptual model for TSE, including atomic service layer, organization layer, region layer, inner-domain layer, cross-domain layer, and customer demand layer. Types of competitions and collaborations in TSE are elaborately refined. A set of ecological metrics for evaluating state of TSE constituents, state of TSE as a whole, and distribution of customer demands, are emphatically discussed. This work gives a high-level inspection on transboundary services from an ecological standpoint, and is of great significance for service providers to identify innovation opportunities in a service ecosystem, and for regulators to issue laws and regulations to guide the healthy development of transboundary service industries.
{"title":"Conceptual Models and Evaluation Metrics for Transboundary Service Ecosystems","authors":"Mingyi Liu, Zhiying Tu, Hanchuan Xu, Xiaofei Xu, Zhongjie Wang","doi":"10.1109/ICSS50103.2020.00009","DOIUrl":"https://doi.org/10.1109/ICSS50103.2020.00009","url":null,"abstract":"“Transboundary” has become a common phenomenon in today's Internet-based service industries. Service providers are not only focused on their original business domains but also extend their attentions to other domains. By aggregating and orchestrating services from different domains to form complex innovative transboundary services, distinct new values are created and delivered to customers. Along with increasing interconnections among services from different domains, many novel transboundary service ecosystems (TSE) emerge. In this paper, we give a six-layered conceptual model for TSE, including atomic service layer, organization layer, region layer, inner-domain layer, cross-domain layer, and customer demand layer. Types of competitions and collaborations in TSE are elaborately refined. A set of ecological metrics for evaluating state of TSE constituents, state of TSE as a whole, and distribution of customer demands, are emphatically discussed. This work gives a high-level inspection on transboundary services from an ecological standpoint, and is of great significance for service providers to identify innovation opportunities in a service ecosystem, and for regulators to issue laws and regulations to guide the healthy development of transboundary service industries.","PeriodicalId":292795,"journal":{"name":"2020 International Conference on Service Science (ICSS)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129517376","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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