2013 IEEE International Conference on Services Computing最新文献_第2页

Towards Combining Declarative Specification with On-the-Fly Mediation 面向声明性规范与动态中介的结合

2013 IEEE International Conference on Services Computing Pub Date : 2013-06-28 DOI: 10.1109/SCC.2013.18

Malik Khalfallah, Nicolas Figay, M. Barhamgi, Catarina Ferreira Da Silva, P. Ghodous

引用次数: 8

Controlling the Evolution of Product-Based Collaboration Contracts 控制基于产品的协作契约的演进

2013 IEEE International Conference on Services Computing Pub Date : 2013-06-28 DOI: 10.1109/SCC.2013.86

Malik Khalfallah, Nicolas Figay, M. Barhamgi, P. Ghodous

引用次数: 6

Supporting Collaborative Decision Processes 支持协作决策过程

2013 IEEE International Conference on Services Computing Pub Date : 2013-06-28 DOI: 10.1109/SCC.2013.26

R. Vaculín, R. Hull, M. Vukovic, F. Heath, Nathaniel Mills, Yutian Sun

引用次数: 9

Service Discovery Based on Objective and Subjective Measures 基于客观和主观度量的服务发现

2013 IEEE International Conference on Services Computing Pub Date : 2013-06-28 DOI: 10.1109/SCC.2013.33

Victor W. Chu, R. Wong, Wuhui Chen, Incheon Paik, Chi-Hung Chi

{"title":"Service Discovery Based on Objective and Subjective Measures","authors":"Victor W. Chu, R. Wong, Wuhui Chen, Incheon Paik, Chi-Hung Chi","doi":"10.1109/SCC.2013.33","DOIUrl":"https://doi.org/10.1109/SCC.2013.33","url":null,"abstract":"Web services have become a primary mechanism for consuming resources available on the Internet. As more and more services are published on the Web, automated service discovery is critical to consumers to identify relevant and reliable services efficiently. In this paper, we enhance the Web Service Crawler Engine (WSCE) framework by introducing comparison measures to allow for more accurate identification, discovery and ranking of relevant Web services. To discover services effectively, we need to be able to measure and compare the similarity among services. Most ontology-based and IR-based discovery techniques assume that service input/output are simple data types when calculating service similarity. However, real-world services published on the Web usually have complex data types input/output parameters. Furthermore, a good match of parameters does not guarantee good usability and good reliability. The relevant services must be further evaluated by users' past experiences, based on both objective and subjective measures, to make optimal solution selection possible. This paper proposes a service matchmaking algorithm that considers the complex data types of service input/output parameters, as well as experience-based objective and subjective measures for ranking. Experiments show that our approach performs better than previous works that only consider simple data types.","PeriodicalId":370898,"journal":{"name":"2013 IEEE International Conference on Services Computing","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-06-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125572295","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

Trust-Aware Service Recommendation via Exploiting Social Networks 利用社交网络的信任感知服务推荐

2013 IEEE International Conference on Services Computing Pub Date : 2013-06-28 DOI: 10.1109/SCC.2013.15

Mingdong Tang, Yu Xu, Jianxun Liu, Zibin Zheng, Xiaoqing Frank Liu

{"title":"Trust-Aware Service Recommendation via Exploiting Social Networks","authors":"Mingdong Tang, Yu Xu, Jianxun Liu, Zibin Zheng, Xiaoqing Frank Liu","doi":"10.1109/SCC.2013.15","DOIUrl":"https://doi.org/10.1109/SCC.2013.15","url":null,"abstract":"With the rapid growth in the number of available services, recommending suitable services to users becomes increasingly important. A number of collaborative service recommendation methods based on user experiences have been proposed for this purpose. Most of them adopt the similarity-based Collaborative Filtering (CF) technique, which tends to identify similar users for a target user and recommends to the target user the services preferred by the similar users. However, a user similar to the target user is unnecessarily trustworthy to him/her. Therefore, the results recommended by similarity-based CF are probably unreliable. Moreover, existing service recommendation methods seldom incorporate social trust relationships among service users into service recommendation. In this paper, we propose a collaborative, trust-aware service recommendation method for service-oriented environments with social networks. The method is based on an integration of the user-service relation and the user-user social relation. Experimental results demonstrate that our service recommendation method significantly outperforms conventional similarity-based recommendation and trust-based service recommendation methods.","PeriodicalId":370898,"journal":{"name":"2013 IEEE International Conference on Services Computing","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-06-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126408298","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: 18

Augmenting Semantics of Web Services Based on Public Open Ontology 基于公共开放本体的Web服务语义增强

2013 IEEE International Conference on Services Computing Pub Date : 2013-06-28 DOI: 10.1109/SCC.2013.96

Xiaocao Hu, Zhiyong Feng, Shizhan Chen

引用次数: 6

A Combinatorial Auction Model for Composite Service Selection Based on Preferences and Constraints 基于偏好和约束的组合服务选择组合拍卖模型

2013 IEEE International Conference on Services Computing Pub Date : 2013-06-28 DOI: 10.1109/SCC.2013.112

M. Moghaddam, Joseph G. Davis, Taso Viglas

{"title":"A Combinatorial Auction Model for Composite Service Selection Based on Preferences and Constraints","authors":"M. Moghaddam, Joseph G. Davis, Taso Viglas","doi":"10.1109/SCC.2013.112","DOIUrl":"https://doi.org/10.1109/SCC.2013.112","url":null,"abstract":"We propose a novel market-based approach for dynamic composite service selection based on combinatorial auctions. The combinatorial auction model that we developed allows us to incorporate service providers' and requesters' preferences in the service selection process. From the providers' perspective, the combinatorial formulation allows them to express their preferences for offering combinations of services, or bundles. Moreover, the combinatorial model has the potential to lower the overall cost to the service requester as a result of providers offering discounts for service bundles. The proposed model also enables the service requester to express their preferences for the types of bundles by defining constraints over the configuration of the composite service provisioning, and data-cohesion of the bundles. We have mapped the problem to an Integer Linear Programming formulation and performed a number of experiments to evaluate the proposed model. In addition to demonstrating the relevance and applicability of combinatorial auction models for service selection, our experiments show that the cost of the composite service provisioning decreases with having more bidders in the auction, offering more crowded bundles is more profitable for service providers, and achieving high cohesion is more expensive than low cohesion for service requesters.","PeriodicalId":370898,"journal":{"name":"2013 IEEE International Conference on Services Computing","volume":"118 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-06-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122331584","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: 13

Supporting Strategic Decision Making on Service Evolution Context Using Business Intelligence 使用商业智能支持服务演进上下文中的战略决策制定

2013 IEEE International Conference on Services Computing Pub Date : 2013-06-28 DOI: 10.1109/SCC.2013.25

Ernando Silva, K. Becker, R. Galante

引用次数: 2

OPS: Offline Patching Scheme for the Images Management in a Secure Cloud Environment OPS:安全云环境下镜像管理离线补丁方案

2013 IEEE International Conference on Services Computing Pub Date : 2013-06-28 DOI: 10.1109/SCC.2013.57

Kang Fan, Dehui Mao, Zhihui Lu, Jie Wu

引用次数: 17

An Ontology-Based Framework for Model-Driven Analysis of Situations in Data Centers 基于本体的数据中心模型驱动分析框架

2013 IEEE International Conference on Services Computing Pub Date : 2013-06-28 DOI: 10.1109/SCC.2013.98

Yu Deng, S. Sarkar, H. Ramasamy, Rafah Hosn, R. Mahindru

{"title":"An Ontology-Based Framework for Model-Driven Analysis of Situations in Data Centers","authors":"Yu Deng, S. Sarkar, H. Ramasamy, Rafah Hosn, R. Mahindru","doi":"10.1109/SCC.2013.98","DOIUrl":"https://doi.org/10.1109/SCC.2013.98","url":null,"abstract":"The capability to analyze systems and applications is commonly needed in data centers to address diverse problems such as root cause analysis of performance problems and failures, investigation of security attack propagation, and problem determination for predictive maintenance. Such analysis is typically facilitated by a hodgepodge of procedural code and scripts representing heuristics to be applied, and configuration databases representing state. As entities in the data center and relationships among them change, it is a challenge to keep the analysis tools up-to-date. We describe a framework that is based primarily on the principle of interpreting declarative representations of knowledge rather than capturing such knowledge in procedural code, and a variety of techniques for facilitating the continuous update of knowledge and state. A metamodel representing data center-specific domain knowledge forms the foundation for the framework. A model of the data center topological elements is an instantiation of the metamodel. Using the framework, we present a methodology for conducting a variety of analyses as a model-driven topology subgraph traversal, governed by knowledge embedded in the corresponding metamodel nodes. We apply the methodology to perform root cause analysis of performance problems in the domains of 3-tier Web and InfoSphere Streams applications.","PeriodicalId":370898,"journal":{"name":"2013 IEEE International Conference on Services Computing","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-06-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122398480","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