2013 IEEE International Conference on Services Computing最新文献

A Probabilistic Approach for Web Service Discovery Web服务发现的概率方法

2013 IEEE International Conference on Services Computing Pub Date : 2013-06-28 DOI: 10.1109/SCC.2013.107

Chune Li, Richong Zhang, J. Huai, Xiaohui Guo, Hailong Sun

引用次数: 68

Cloud Service Negotiation: A Research Roadmap 云服务协商:研究路线图

2013 IEEE International Conference on Services Computing Pub Date : 2013-06-28 DOI: 10.1109/SCC.2013.93

Xianrong Zheng, Patrick Martin, Kathryn Brohman

引用次数: 11

Risk-Aware Web Service Allocation in the Cloud Using Portfolio Theory 基于投资组合理论的云环境下风险感知Web服务配置

2013 IEEE International Conference on Services Computing Pub Date : 2013-06-28 DOI: 10.1109/SCC.2013.40

Faisal Alrebeish, R. Bahsoon

引用次数: 6

Secure Cloud Storage Service with an Efficient DOKS Protocol 安全的云存储服务与高效的DOKS协议

2013 IEEE International Conference on Services Computing Pub Date : 2013-06-28 DOI: 10.1109/SCC.2013.37

Zhengtao Jiang, Ling Liu

{"title":"Secure Cloud Storage Service with an Efficient DOKS Protocol","authors":"Zhengtao Jiang, Ling Liu","doi":"10.1109/SCC.2013.37","DOIUrl":"https://doi.org/10.1109/SCC.2013.37","url":null,"abstract":"Storage services based on public clouds provide customers with elastic storage and on-demand accessibility. However, moving data to remote cloud storage also raises privacy concerns. Cryptographic cloud storage and search over encrypted data have attracted attentions from both industry and academics. In this paper, we present a new approach to constructing efficient oblivious keyword search (OKS) protocol, which permits fast search (i.e., sub-linear time) and relatively short ciphertext, while providing provably strong privacy for both users and cloud storage service providers. Previous OKS protocols have ciphertext size linear in the number of keywords, which consume much storage space and relatively long searching time. We formally define a Disjunctively Oblivious Keyword Search (DOKS) protocol realizing oblivious keyword search with the ciphertext size constant in size of keywords, which is significantly less than that of previous OKS protocols. Our approach improves both the privacy and efficiency of existing OKS protocols. With DOKS, adversary cannot distinguish two search keywords submitted by users, and cannot know the relations between ciphertext of documents and search keywords. A search keyword cannot be reused by adversaries. Users can get the matching documents without revealing statistical information on search keywords.","PeriodicalId":370898,"journal":{"name":"2013 IEEE International Conference on Services Computing","volume":"80 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":"116349763","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

Prediction of Service Reliability Based on Grouping 基于分组的业务可靠性预测

2013 IEEE International Conference on Services Computing Pub Date : 2013-06-28 DOI: 10.1109/SCC.2013.54

Haiyan Wang, Wei Li, Junzhou Luo

{"title":"Prediction of Service Reliability Based on Grouping","authors":"Haiyan Wang, Wei Li, Junzhou Luo","doi":"10.1109/SCC.2013.54","DOIUrl":"https://doi.org/10.1109/SCC.2013.54","url":null,"abstract":"With the wide applications of Internet-based services, service reliability has received more and more attention in the research field of Services Computing. Reliability prediction approaches basically compute reliability according to historical records. However, in most current prediction methods, each user is supposed to return a Boolean feedback representing his/her subjective evaluation on service reliability. This binary feedback cannot express the user's evaluation of reliability precisely. Even though some researchers propose to compute reliability according to feedback from similar users or similar services, accuracy of reliability prediction cannot be guaranteed successfully. To address the problems above, this paper presents a fine-grained reliability prediction method based on grouping (RPMBG). In RPMBG, feedback is divided into several dimensions and each user can choose a service degree for each dimension to represent his/her evaluation on consumed service. A quantifying approach of users' feedback on each dimension will be given with the employment of entropy in information theory. At the same time, a grouping methodology including grouping of users and grouping of services is described with the employments of fuzzy c-means theory, PCC, and Levenshtein Distance. Based on grouping, filtered feedback from similar user group and similar service group will be engaged into reliability prediction. Experimental results demonstrate that our proposed RPMBG has significantly increased the accuracy of prediction result compared with other prediction methods.","PeriodicalId":370898,"journal":{"name":"2013 IEEE International Conference on Services Computing","volume":"23 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":"114687877","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: 1

lightEPC: A Formal Approach for Modeling Personalized Lightweight Event-Driven Business Process 为个性化轻量级事件驱动业务流程建模的形式化方法

2013 IEEE International Conference on Services Computing Pub Date : 2013-06-28 DOI: 10.1109/SCC.2013.65

S. Xue, Budan Wu, Junliang Chen

引用次数: 5

SmartClass: A Services-Oriented Approach for University Resource Scheduling SmartClass:面向服务的大学资源调度方法

2013 IEEE International Conference on Services Computing Pub Date : 2013-06-28 DOI: 10.1109/SCC.2013.29

Aili Wang, Chao Wang, Xi Li, Xuehai Zhou

引用次数: 5

Design and Implementation of a Unified Network Information Service 统一网络信息服务的设计与实现

2013 IEEE International Conference on Services Computing Pub Date : 2013-06-28 DOI: 10.1109/SCC.2013.81

Ahmed El-Hassany, E. Kissel, D. Gunter, D. M. Swany

{"title":"Design and Implementation of a Unified Network Information Service","authors":"Ahmed El-Hassany, E. Kissel, D. Gunter, D. M. Swany","doi":"10.1109/SCC.2013.81","DOIUrl":"https://doi.org/10.1109/SCC.2013.81","url":null,"abstract":"A holistic view of the network is key to the successful operation of many distributed, cloud-based, and service-oriented computing architectures. Supporting network-aware applications and application-driven networks requires a detailed representation of network resources, including multi-layer topologies, associated measurement data, and in-the-network service location and availability information. The rapid development of increasingly configurable and dynamic networks has increased the demand for information services that can accurately and efficiently store and expose the state of the network. This work introduces our Unified Network Information Service (UNIS), designed to represent physical and virtual networks and services. We describe the UNIS network data model and its RESTful interface, which provide a common interface to topology, service, and measurement resources. In addition, we describe the security mechanisms built into the UNIS framework. Our analysis of the UNIS implementation shows significant performance and scalability gains over an existing and widely-deployed topology, service registration, and lookup information service architecture.","PeriodicalId":370898,"journal":{"name":"2013 IEEE International Conference on Services Computing","volume":"40 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":"133248583","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: 10

An Infrastructure Framework for Deploying Enterprise Private Cloud 用于部署企业私有云的基础设施框架

2013 IEEE International Conference on Services Computing Pub Date : 2013-06-28 DOI: 10.1109/SCC.2013.99

Liu Yaxiao, L. Weidong, Li Lining, Wang Feng

引用次数: 1

Formal Modeling of Elastic Service-Based Business Processes 弹性基于服务的业务流程的形式化建模

2013 IEEE International Conference on Services Computing Pub Date : 2013-06-28 DOI: 10.1109/SCC.2013.75

Kais Klai, S. Tata

引用次数: 17