2016 IEEE Symposium on Service-Oriented System Engineering (SOSE)最新文献_第5页

Rapid Service Composition Reasoning for Agile Cyber Physical Systems 敏捷网络物理系统的快速服务组合推理

2016 IEEE Symposium on Service-Oriented System Engineering (SOSE) Pub Date : 2016-03-01 DOI: 10.1109/SOSE.2016.65

I. Yen, Wei Zhu, F. Bastani, Yongtao Huang, Guang Zhou

引用次数: 5

Microservices Architecture Based Cloudware Deployment Platform for Service Computing 基于微服务架构的业务计算云部署平台

2016 IEEE Symposium on Service-Oriented System Engineering (SOSE) Pub Date : 2016-03-01 DOI: 10.1109/SOSE.2016.22

Dong-Yu Guo, Wei Wang, Guosun Zeng, Z. Wei

{"title":"Microservices Architecture Based Cloudware Deployment Platform for Service Computing","authors":"Dong-Yu Guo, Wei Wang, Guosun Zeng, Z. Wei","doi":"10.1109/SOSE.2016.22","DOIUrl":"https://doi.org/10.1109/SOSE.2016.22","url":null,"abstract":"With the rising of Cloud computing, evolution have occurred not only in datacenter, but also in software development, deployment, maintain and usage. How to build cloud platform for traditional software, and how to deliver cloud service to users are central research fields which will have a huge impact. In recent years, the development of microservice and container technology make software paradigm evolve towards Cloudware in cloud environment. Cloudware, which is based on service and supported by cloud platform, is an important method to cloudalize traditional software. It is also a significant way for software development, deployment, maintenance and usage in future cloud environment. Furthermore, it creates a completely new thought for software in cloud platform. In this paper, we proposed a new Cloudware PaaS platform based on microservice architecture and light weighted container technology. We can directly deploy traditional software which provides services to users by browser in this platform without any modification. By utilizing the microservice architecture, this platform has the characteristics of scalability, auto-deployment, disaster recovery and elastic configuration.","PeriodicalId":153118,"journal":{"name":"2016 IEEE Symposium on Service-Oriented System Engineering (SOSE)","volume":"59 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128891384","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: 50

An Approach to Constructing a General Framework for Creative Computing: Incorporating Semantic Web 一种构建创造性计算通用框架的方法:结合语义网

2016 IEEE Symposium on Service-Oriented System Engineering (SOSE) Pub Date : 2016-03-01 DOI: 10.1109/SOSE.2016.37

Lu Zhang, Lin Zou, D. Jing, Hongji Yang

{"title":"An Approach to Constructing a General Framework for Creative Computing: Incorporating Semantic Web","authors":"Lu Zhang, Lin Zou, D. Jing, Hongji Yang","doi":"10.1109/SOSE.2016.37","DOIUrl":"https://doi.org/10.1109/SOSE.2016.37","url":null,"abstract":"Human creativity has been studied for a long time and in various domains. In contemporary society, computing, due to its great power, has been widely used to help people to understand and facilitate human creativity. However, most of them are still focusing on the virtualisations of tools, e.g., apps like Magic Piano and systems like MindGenius. As the relationships between creativity and computing have changed dramatically over time, more and more novel concepts, such as Creative Computing, start to play an increasingly important role in human creativity enhancement. The key concern of Creative Computing is how to improve human creativity through computing in creative ways. Due to its unique features, a specific supporting structure can be very helpful for the development of Creative Computing. Therefore, a framework, as a large-scale design of architecture, may be a good way to go. Due to the growth of \"computing intelligence\", there have been an enormous number of promising technologies to use, such as Semantic Web. Based on the relationships between data, the technologies of Semantic Web may be able to add creative \"logics\" into computing. Hence, in this paper, an approach to constructing a general framework for Creative Computing based on Semantic Web technologies will be discussed.","PeriodicalId":153118,"journal":{"name":"2016 IEEE Symposium on Service-Oriented System Engineering (SOSE)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130555470","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

Teaching Networks in the Cloud 云中的教学网络

2016 IEEE Symposium on Service-Oriented System Engineering (SOSE) Pub Date : 2016-03-01 DOI: 10.1109/SOSE.2016.14

A. Ciuffoletti

引用次数: 2

Eagle: An Agile Approach to Automaton Updating in Cloud Security Services Eagle:在云安全服务中实现自动更新的敏捷方法

2016 IEEE Symposium on Service-Oriented System Engineering (SOSE) Pub Date : 2016-03-01 DOI: 10.1109/SOSE.2016.17

Hao Peng, Zhe Liu, Jie Shen, Xue Li, Hanteng Chen, Jianxin Li, Lu Liu

引用次数: 3

Trends and Directions in Cloud Service Selection 云服务选择的趋势和方向

2016 IEEE Symposium on Service-Oriented System Engineering (SOSE) Pub Date : 2016-03-01 DOI: 10.1109/SOSE.2016.59

M. Eisa, M. Younas, Kashinath Basu, Hong Zhu

引用次数: 31

Innovative Crowdsourcing Mobile App for Curriculum Design: Specification for a Prototype Mobile Application 创新众包移动应用程序的课程设计:规范的原型移动应用程序

2016 IEEE Symposium on Service-Oriented System Engineering (SOSE) Pub Date : 2016-03-01 DOI: 10.1109/SOSE.2016.38

Yongjun Zheng, Joshua Dawson

引用次数: 1

Computing at Massive Scale: Scalability and Dependability Challenges 大规模计算:可伸缩性和可靠性挑战

2016 IEEE Symposium on Service-Oriented System Engineering (SOSE) Pub Date : 2016-03-01 DOI: 10.1109/SOSE.2016.73

Renyu Yang, Jie Xu

{"title":"Computing at Massive Scale: Scalability and Dependability Challenges","authors":"Renyu Yang, Jie Xu","doi":"10.1109/SOSE.2016.73","DOIUrl":"https://doi.org/10.1109/SOSE.2016.73","url":null,"abstract":"Large-scale Cloud systems and big data analytics frameworks are now widely used for practical services and applications. However, with the increase of data volume, together with the heterogeneity of workloads and resources, and the dynamic nature of massive user requests, the uncertainties and complexity of resource management and service provisioning increase dramatically, often resulting in poor resource utilization, vulnerable system dependability, and user-perceived performance degradations. In this paper we report our latest understanding of the current and future challenges in this particular area, and discuss both existing and potential solutions to the problems, especially those concerned with system efficiency, scalability and dependability. We first introduce a data-driven analysis methodology for characterizing the resource and workload patterns and tracing performance bottlenecks in a massive-scale distributed computing environment. We then examine and analyze several fundamental challenges and the solutions we are developing to tackle them, including for example incremental but decentralized resource scheduling, incremental messaging communication, rapid system failover, and request handling parallelism. We integrate these solutions with our data analysis methodology in order to establish an engineering approach that facilitates the optimization, tuning and verification of massive-scale distributed systems. We aim to develop and offer innovative methods and mechanisms for future computing platforms that will provide strong support for new big data and IoE (Internet of Everything) applications.","PeriodicalId":153118,"journal":{"name":"2016 IEEE Symposium on Service-Oriented System Engineering (SOSE)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131418983","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: 23

High Performance Video Processing in Cloud Data Centres 云数据中心中的高性能视频处理

2016 IEEE Symposium on Service-Oriented System Engineering (SOSE) Pub Date : 2016-03-01 DOI: 10.1109/SOSE.2016.56

Muhammad Usman Yaseen, M. S. Zafar, A. Anjum, Richard Hill

{"title":"High Performance Video Processing in Cloud Data Centres","authors":"Muhammad Usman Yaseen, M. S. Zafar, A. Anjum, Richard Hill","doi":"10.1109/SOSE.2016.56","DOIUrl":"https://doi.org/10.1109/SOSE.2016.56","url":null,"abstract":"Mobile phones and affordable cameras are generating large amounts of video data. This data holds information regarding several activities and incidents. Video analytics systems have been introduced to extract valuable information from this data. However, most of these systems are expensive, require human supervision and are time consuming. The probability of extracting inaccurate information is also high due to human involvement. We have addressed these challenges by proposing a cloud based high performance video analytics platform. This platform attempts to minimize human intervention, reduce computation time and enables the processing of a large number of video streams. It achieves high performance by optimizing the occupancy of GPU resources in cloud and minimizing the data transfer by concurrently processing a large number of video streams. The proposed video processing platform is evaluated in three stages. The first evaluation was performed at the cloud level in order to evaluate the scalability of the platform. This evaluation includes fetching and distributing video streams and efficiently utilizing available resources within the cloud. The second valuation was performed at the individual cloud nodes. This evaluation includes measuring the occupancy level, effect of data transfer and the extent of concurrency achieved at each node. The third evaluation was performed at the frame level in order to determine the performance of object recognition algorithms. To measure this, compute intensive tasks of the Local Binary Pattern (LBP) algorithm have been ported on to the GPU resources. The platform proved to be very scalable with high throughput and performance when tested on a large number of video streams with increasing number of nodes.","PeriodicalId":153118,"journal":{"name":"2016 IEEE Symposium on Service-Oriented System Engineering (SOSE)","volume":"85 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121892922","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

A Distributed Graph Partitioning Algorithm for Processing Large Graphs 一种用于处理大型图的分布式图划分算法

2016 IEEE Symposium on Service-Oriented System Engineering (SOSE) Pub Date : 2016-03-01 DOI: 10.1109/SOSE.2016.48

Tefeng Chen, B. Li

引用次数: 6