2016 IEEE International Conference on Services Computing (SCC)最新文献_第2页

Personalized Service Recommendation for Collaborative Tagging Systems with Social Relations and Temporal Influences 具有社会关系和时间影响的协同标签系统的个性化服务推荐

2016 IEEE International Conference on Services Computing (SCC) Pub Date : 2016-06-01 DOI: 10.1109/SCC.2016.107

Zigui Jiang, Ao Zhou, Shangguang Wang, Qibo Sun, Rongheng Lin, Fangchun Yang

引用次数: 10

Toward an Automated View Abstraction for Distributed Model-Driven Service Development 面向分布式模型驱动服务开发的自动化视图抽象

2016 IEEE International Conference on Services Computing (SCC) Pub Date : 2016-06-01 DOI: 10.1109/SCC.2016.115

Yucong Duan, Q. Duan, Ruisheng Shi, Honghao Gao

{"title":"Toward an Automated View Abstraction for Distributed Model-Driven Service Development","authors":"Yucong Duan, Q. Duan, Ruisheng Shi, Honghao Gao","doi":"10.1109/SCC.2016.115","DOIUrl":"https://doi.org/10.1109/SCC.2016.115","url":null,"abstract":"UML view integration has been extensively studied in the area of model transformation in Model Driven Development. Empirical processing rules are among the most widely employed approaches for processing view abstraction, which can support model simplification, consistency checking, and management complexity reduction. However, empirical rules face some challenges such as completeness validation, consistency among rules, and composition priority arrangement. The challenge of rule composition is amplified in the environment of distributed model driven development for web service-based systems where redundant information/data is emphasized. The same redundant information can be expressed in different forms that comprise various topological structures for entity relationship networks representing the same part of the system. Such variation will result in choosing different compositions of rules executed in different orders, which will increase the severity of non-determinism from the empirical probability of some rules. In this paper, we propose a formal solution for addressing this challenge through constructing finite-state automaton for unifying empirical abstraction rules while relieving the side effects caused by redundancy. We investigate the effect of redundancy on rules application through designing a simulated distributed storage for an example diagram model. We also show the results obtained from a prototype implementation.","PeriodicalId":115693,"journal":{"name":"2016 IEEE International Conference on Services Computing (SCC)","volume":"44 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129953616","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: 0

CIDE: An Integrated Development Environment for Microservices CIDE:微服务的集成开发环境

2016 IEEE International Conference on Services Computing (SCC) Pub Date : 2016-06-01 DOI: 10.1109/SCC.2016.112

Desheng Liu, Hong Zhu, ChengZhi Xu, Ian Bayley, D. Lightfoot, Mark Green, P. Marshall

引用次数: 19

ReAct: A System for Recommending Actions for Rapid Resolution of IT Service Incidents ReAct:为快速解决IT服务事件推荐行动的系统

2016 IEEE International Conference on Services Computing (SCC) Pub Date : 2016-06-01 DOI: 10.1109/SCC.2016.134

Vishalaksh Aggarwal, Shivali Agarwal, Gaargi B. Dasgupta, G. Sridhara, Vijay E. Ibm

引用次数: 8

ESI-Cloud: Extending Virtual Machine Introspection for Integrating Multiple Security Services ESI-Cloud:扩展虚拟机自省以集成多个安全服务

2016 IEEE International Conference on Services Computing (SCC) Pub Date : 2016-06-01 DOI: 10.1109/SCC.2016.111

Jiangchun Ren, Ling Liu, Da Zhang, Huaizhe Zhou, Qi Zhang

{"title":"ESI-Cloud: Extending Virtual Machine Introspection for Integrating Multiple Security Services","authors":"Jiangchun Ren, Ling Liu, Da Zhang, Huaizhe Zhou, Qi Zhang","doi":"10.1109/SCC.2016.111","DOIUrl":"https://doi.org/10.1109/SCC.2016.111","url":null,"abstract":"The cloud computing has become the most popular service model with a proven ability to reduce costs and improve resource efficiency. However cloud platform also suffer from potent attacks from internal and external environment. The cooperation with Managed Security Service Providers (MSSPs) has becoming a compelling solution to the security and privacy risks in the cloud platform. But it is difficult to deploy and manage a variety of security service efficiently and effectively. In this paper, we propose a novel framework, ESI-Cloud (Easy Security services Integration Cloud), to facilitate the integration of multiple managed security services into a cloud computing platform. ESI-Cloud utilizes virtual machine introspection to monitor and analyze the guest VMs execution information. It also provides a client library with rich APIs and a management console to the managed security service providers (MSSPs), with which multiple security services can be easily integrated into the basic cloud platform. We have implemented ESI-Cloud in the Xen hypervisor platform and evaluated the system functionality and performance.","PeriodicalId":115693,"journal":{"name":"2016 IEEE International Conference on Services Computing (SCC)","volume":"39 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121559190","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

Building Cloud-Based Healthcare Data Mining Services 构建基于云的医疗保健数据挖掘服务

2016 IEEE International Conference on Services Computing (SCC) Pub Date : 2016-06-01 DOI: 10.1109/SCC.2016.66

P. Zhang, Shang Hu, Jing He, Yanchun Zhang, Guangyan Huang, Jiekui Zhang

引用次数: 13

Automatic Composition of Service-Based Image Processing Applications 基于服务的图像处理应用的自动合成

2016 IEEE International Conference on Services Computing (SCC) Pub Date : 2016-06-01 DOI: 10.1109/SCC.2016.21

Alexander Jungmann, B. Kleinjohann

引用次数: 7

A Middleware for Environmental Monitoring and Control 环境监测与控制中间件

2016 IEEE International Conference on Services Computing (SCC) Pub Date : 2016-06-01 DOI: 10.1109/SCC.2016.96

Xia Xu, Minbo Li, Jia Liang

{"title":"A Middleware for Environmental Monitoring and Control","authors":"Xia Xu, Minbo Li, Jia Liang","doi":"10.1109/SCC.2016.96","DOIUrl":"https://doi.org/10.1109/SCC.2016.96","url":null,"abstract":"In the last few years, the Internet of Things (IoT) has obtained rapid development. The amount of devices and sensors that are connected to the Internet has increased significantly. On the other hand, the environmental monitoring and control becomes more and more important in several fields. Since devices and sensors may be produced by different manufacturers, it is necessary to find a solution for shielding the heterogeneity. What's more, vast amount of data will bring the performance issue. In this paper, we design and implement a middleware for environmental monitoring and control. The middleware system is hierarchically distributed. Data from heterogeneous devices are converted into unified virtual entities to shield the heterogeneity. The middleware provides service invocation for the upper application and supports dynamic perception and discovery of devices. Through the registration module, the middleware can be easily upgraded, and will not affect the underlying devices and the upper application. We design several mechanisms to process a mass of data. The paper presents experimental results to illustrate the good performance of the middleware system. Generally speaking, every detail of our design is for the actual situation of environmental monitoring and control.","PeriodicalId":115693,"journal":{"name":"2016 IEEE International Conference on Services Computing (SCC)","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134252982","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: 2

Autonomic Service-Oriented Context for Pervasive Applications 普及应用程序的自主面向服务上下文

2016 IEEE International Conference on Services Computing (SCC) Pub Date : 2016-06-01 DOI: 10.1109/SCC.2016.70

Colin Aygalinc, Eva Gerbert-Gaillard, Germán Vega, P. Lalanda, Stéphanie Chollet

引用次数: 6

An Approach to Design and Analyze the Framework for Preventing Cyberbullying 网络欺凌预防框架的设计与分析

2016 IEEE International Conference on Services Computing (SCC) Pub Date : 2016-06-01 DOI: 10.1109/SCC.2016.125

Weider D. Yu, M. Gole, Nishanth Prabhuswamy, Sowmya Prakash, Vidya Gowdru Shankaramurthy

引用次数: 9