2013 IEEE International Conference on Services Computing最新文献_第7页

AESON: A Model-Driven and Fault Tolerant Composite Deployment Runtime for IaaS Clouds AESON:用于IaaS云的模型驱动和容错组合部署运行时

2013 IEEE International Conference on Services Computing Pub Date : 2013-06-28 DOI: 10.1109/SCC.2013.102

D. Jayasinghe, C. Pu, Fábio Oliveira, Florian Rosenberg, T. Eilam

引用次数: 13

Measuring and Applying Service Request Effort Data in Application Management Services 在应用程序管理服务中度量和应用服务请求工作数据

2013 IEEE International Conference on Services Computing Pub Date : 2013-06-28 DOI: 10.1109/SCC.2013.64

Ying Li, K. Katircioglu

引用次数: 2

Context-Aware Business Process Management for Personalized Healthcare Services 个性化医疗保健服务的上下文感知业务流程管理

2013 IEEE International Conference on Services Computing Pub Date : 2013-06-28 DOI: 10.1109/SCC.2013.88

Junho Moon, Dongsoo Kim

引用次数: 12

Multi-tenancy Support with Organization Management in the Cloud of Things 多租户支持和物联网中的组织管理

2013 IEEE International Conference on Services Computing Pub Date : 2013-06-28 DOI: 10.1109/SCC.2013.61

S. Kim, Daeyoung Kim

{"title":"Multi-tenancy Support with Organization Management in the Cloud of Things","authors":"S. Kim, Daeyoung Kim","doi":"10.1109/SCC.2013.61","DOIUrl":"https://doi.org/10.1109/SCC.2013.61","url":null,"abstract":"\"Cloud of Things\" (CoT) is a concept that provides smart things' functions as a service and allows them to be used by multiple applications. In the CoT, a single smart thing instance should efficiently host multiple applications, called multi-tenancy. However, since multiple applications may simultaneously access the same smart things, they may contend for uses of the same smart things, which is called resource conflicts. Moreover, smart things inherently form complex dependencies, examples of which are include a group of smart things in a room, a group of smart things owned by a person, etc. Since handling resource conflicts and complex dependencies at an application level is typically ad-hoc and error-prone, it results in exacerbating readability of application codes. To address these issues, we propose a middleware for Cloud of Things called ECO. The ECO middleware manages organizations to handle dependency among/between smart things and virtualizes physical smart things to enable isolation between/among multiple applications using shared smart things yet internally controls smart things's sharing to resolve resource conflicts. Also, it provides consolidation by harmonizing different smart things's execution contexts of multiple applications for efficient utilization of the shared smart things. As a result, ECO middleware facilitates development of multiple applications over heterogeneous smart things with efficient sharing. The ECO middleware is implemented with heterogeneous device frameworks like UPnP, ZigBee, and CoAP over 6LoWPAN. We show that ECO middleware provides efficient sharing controls and access controls with negligible virtualization overhead.","PeriodicalId":370898,"journal":{"name":"2013 IEEE International Conference on Services Computing","volume":"1 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":"130819309","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: 9

A Novel Model for Contextual Transaction Trust Computation with Fixed Storage Space in E-Commerce and E-Service Environments 电子商务和电子服务环境下具有固定存储空间的上下文交易信任计算新模型

2013 IEEE International Conference on Services Computing Pub Date : 2013-06-28 DOI: 10.1109/SCC.2013.108

Haibin Zhang, Yan Wang

{"title":"A Novel Model for Contextual Transaction Trust Computation with Fixed Storage Space in E-Commerce and E-Service Environments","authors":"Haibin Zhang, Yan Wang","doi":"10.1109/SCC.2013.108","DOIUrl":"https://doi.org/10.1109/SCC.2013.108","url":null,"abstract":"In e-commerce and e-service environments, transaction context is important when evaluating the trust level of a seller or a service provider in a forthcoming transaction. However, most existing trust evaluation models compute a single value to reflect the general trust level of a seller without taking any transaction context into account. In the literature, a trust vector approach has been proposed to resolve the above problem. In particular, the trust vector contains different sets of trust values (termed as CTT values) so as to outline a seller's reputation profile. As a result, buyers can identify the potential risk existing in a forthcoming transaction (e.g., value imbalance, i.e. a malicious seller may build up a high level of trust by selling cheap products and then deceive buyers by inducing them to purchase more expensive products) and thus avoid monetary losses. In computing CTT values, some approaches are proposed that store the precomputed aggregation results over large-scale ratings and transaction data of a seller, so as to deliver prompt responses to a buyer's query. Though these approaches allocate relatively small space to each seller for storing the aggregation results, if applied in a system with millions of sellers, space consumption will be intolerable. In this paper, we propose a novel model for CTT computation with fixed storage space, which provides a trade-off between aggregation detail and storage space. It is particular suitable for CTT computation where a request is regarding a seller's trust in recent time period, e.g., the latest six months, rather than six months plus one day. We have conducted experiments on both an eBay dataset and a synthetic dataset to illustrate its good efficiency in responding to buyers' CTT queries.","PeriodicalId":370898,"journal":{"name":"2013 IEEE International Conference on Services Computing","volume":"55 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":"122081903","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: 6

Clustering and Spherical Visualization of Web Services Web服务的聚类和球形可视化

2013 IEEE International Conference on Services Computing Pub Date : 2013-06-28 DOI: 10.1109/SCC.2013.90

B. Kumara, Y. Yaguchi, Incheon Paik, Wuhui Chen

{"title":"Clustering and Spherical Visualization of Web Services","authors":"B. Kumara, Y. Yaguchi, Incheon Paik, Wuhui Chen","doi":"10.1109/SCC.2013.90","DOIUrl":"https://doi.org/10.1109/SCC.2013.90","url":null,"abstract":"Web service clustering is one of a very efficient approach to discover Web services efficiently. Current clustering approaches use traditional clustering algorithms such as agglomerative as the clustering algorithm. The algorithms have not provided visualization of service clusters that gives inspiration for a specific domain from visual feedback and failed to achieve higher noise isolation. Furthermore iterative steps of algorithms consider about the similarity of limited number of services such as similarity of cluster centers. This leads to reduce the cluster performance. In this paper we apply a spatial clustering technique called the Associated Keyword Space(ASKS) which is effective for noisy data and projected clustering result from a three-dimensional (3D) sphere to a two dimensional(2D) spherical surface for 2D visualization. One main issue, which affects to the performance of ASKS algorithm is creating the affinity matrix. We use semantic similarity values between services as the affinity values. Most of the current clustering approaches use similarity distance measurement such as keyword, ontology and information-retrieval-based methods. These approaches have problem of short of high quality ontology and loss of semantic information. In this paper, we calculate the service similarity by using hybrid term similarity method which uses ontology learning and information retrieval. Experimental results show our clustering approach is able to plot similar services into same area and aid to search Web services by visualization of the service data on a spherical surface.","PeriodicalId":370898,"journal":{"name":"2013 IEEE International Conference on Services Computing","volume":"1 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":"127916236","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: 9

Sensor Data as a Service -- A Federated Platform for Mobile Data-centric Service Development and Sharing 传感器数据即服务——以移动数据为中心的服务开发和共享的联合平台

2013 IEEE International Conference on Services Computing Pub Date : 2013-06-28 DOI: 10.1109/SCC.2013.34

Jia Zhang, Bob Iannucci, M. Hennessy, Kaushik Gopal, S. Xiao, Sumeet Kumar, David Pfeffer, Basmah Aljedia, Yuan Ren, M. Griss, Steven Rosenberg, J. Cao, Anthony G. Rowe

{"title":"Sensor Data as a Service -- A Federated Platform for Mobile Data-centric Service Development and Sharing","authors":"Jia Zhang, Bob Iannucci, M. Hennessy, Kaushik Gopal, S. Xiao, Sumeet Kumar, David Pfeffer, Basmah Aljedia, Yuan Ren, M. Griss, Steven Rosenberg, J. Cao, Anthony G. Rowe","doi":"10.1109/SCC.2013.34","DOIUrl":"https://doi.org/10.1109/SCC.2013.34","url":null,"abstract":"The Internet of Things (IoT) offers the promise of integrating the digital world of the Internet with the physical world in which we live. But realizing this promise necessitates a systematic approach to integrating the sensors, actuators, and information on which they operate into the Internet we know today. This paper reports the design and development of an open community-oriented platform aiming to support federated sensor data as a service, featuring interoperability and reusability of heterogeneous sensor data and data services. The concepts of virtual sensors and virtual devices are identified as central autonomic units to model scalable and context-aware configurable/reconfigurable sensor data and services. The decoupling of the storage and management of sensor data and platform-oriented metadata enables the handling of both discrete and streaming sensor data. A cloud computing-empowered prototyping system has been established as a proof of concept to host smart community-oriented sensor data and services.","PeriodicalId":370898,"journal":{"name":"2013 IEEE International Conference on Services Computing","volume":"35 12","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-06-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131859720","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: 44

A CCRA Based Mass Customization Development for Cloud Services 基于CCRA的云服务大规模定制开发

2013 IEEE International Conference on Services Computing Pub Date : 2013-06-28 DOI: 10.1109/SCC.2013.113

Bo Hu, Yutao Ma, Liang-Jie Zhang, Chunxiao Xing, Jun Zou, Ping Xu

引用次数: 5

Security-Aware Resource Allocation in Clouds 云中的安全资源分配

2013 IEEE International Conference on Services Computing Pub Date : 2013-06-28 DOI: 10.1109/SCC.2013.36

Saeed Al-Haj, E. Al-Shaer, H. Ramasamy

引用次数: 24

Services for Context Aware Knowledge Enhancement and Its Application in the Chinese Enterprise Management Tank (CEMT) 情境感知知识增强服务及其在中国企业管理库中的应用

2013 IEEE International Conference on Services Computing Pub Date : 2013-06-28 DOI: 10.1109/SCC.2013.32

Ke Ning, Zhangbing Zhou, Jianhua Zheng, Dong Liu, Liang-Jie Zhang

{"title":"Services for Context Aware Knowledge Enhancement and Its Application in the Chinese Enterprise Management Tank (CEMT)","authors":"Ke Ning, Zhangbing Zhou, Jianhua Zheng, Dong Liu, Liang-Jie Zhang","doi":"10.1109/SCC.2013.32","DOIUrl":"https://doi.org/10.1109/SCC.2013.32","url":null,"abstract":"In the era of knowledge economy, knowledge resources have become the most valuable assets for enterprises. To better understand and reuse knowledge, it is necessary to relate it with the context in which the knowledge is generated and used. This is a process that usually occurs in an experienced knowledge-worker's mind and without efficient supporting tools. This paper proposes an approach for the acquisition and utilization of context for the enhancement of knowledge and with a particular focus on methods to enable context extraction from industrial settings. The approach adopts a knowledge context ontology, to correlate knowledge and its context in the high-level activities of a knowledge worker. Knowledge context are extracted by utilizing a combination of methods including context identification, context reasoning, and context similarity measurement. Based on the proposed approach, a set of services for context aware knowledge enhancement are developed and applied in The Chinese Enterprise Management Tank (CEMT), a knowledge sharing and reusing platform for business management knowledge workers in all around China.","PeriodicalId":370898,"journal":{"name":"2013 IEEE International Conference on Services Computing","volume":"1 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":"129475407","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