4th IEEE International Conference on Cloud Computing Technology and Science Proceedings最新文献_第2页

Towards privacy-preserving image template matching in the clouds 云环境下保护隐私的图像模板匹配

4th IEEE International Conference on Cloud Computing Technology and Science Proceedings Pub Date : 2012-12-03 DOI: 10.1109/CloudCom.2012.6427504

Arash Nourian, Muthucumaru Maheswaran

引用次数: 2

Optimization of cloud resource subscription policy 云资源订阅策略优化

4th IEEE International Conference on Cloud Computing Technology and Science Proceedings Pub Date : 2012-12-03 DOI: 10.1109/CloudCom.2012.6427490

Wei-Ru Lee, Hung-Yi Teng, Ren-Hung Hwang

{"title":"Optimization of cloud resource subscription policy","authors":"Wei-Ru Lee, Hung-Yi Teng, Ren-Hung Hwang","doi":"10.1109/CloudCom.2012.6427490","DOIUrl":"https://doi.org/10.1109/CloudCom.2012.6427490","url":null,"abstract":"In recent years, cloud computing has become a promising solution for decreasing the deployment and maintenance costs of Internet services. To provide Internet application service by using cloud resource, a service provider needs to consider the resource subscription cost and Service Level Agreement (SLA) of its users. Several kinds of pricing model of cloud resource subscription have been proposed. In such case, the Internet service provider plays the role of a cloud customer with a need of optimal cloud resource subscription policy to reduce its operation cost. Therefore, how to determine a suitable policy of cloud resource subscription has become a challenging issue. In this work, we proposed a two-phase approach to solve the cloud resource subscription problem. The first phase considered long-term resource reservation. In this phase, we proposed a mathematic model to compute an upper bound of the optimal amount of long-term reserved resource. The second phase was dynamic resource subscription phase. In order to overcome dynamic resource demand, in this phase, we used Hidden Markov Model (HMM) to predict resource demand and allocate VM resource adaptively based on the prediction. We evaluated our solution using real-world resource demand data. Our numerical results indicated that our approach can reduce the cost of cloud resource subscription significantly.","PeriodicalId":430883,"journal":{"name":"4th IEEE International Conference on Cloud Computing Technology and Science Proceedings","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-12-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130135650","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: 8

Rethinking Vehicular Communications: Merging VANET with cloud computing 重新思考车载通信:VANET与云计算的融合

4th IEEE International Conference on Cloud Computing Technology and Science Proceedings Pub Date : 2012-12-03 DOI: 10.1109/CloudCom.2012.6427481

Rasheed Hussain, Junggab Son, Hasoo Eun, Sangjin Kim, Heekuck Oh

引用次数: 272

SAPPHIRE: Anonymity for enhanced control and private collaboration in healthcare clouds SAPPHIRE:在医疗保健云中用于增强控制和私有协作的匿名性

4th IEEE International Conference on Cloud Computing Technology and Science Proceedings Pub Date : 2012-12-03 DOI: 10.1109/CloudCom.2012.6427488

John M. Pecarina, Shi Pu, Jyh-Charn S. Liu

{"title":"SAPPHIRE: Anonymity for enhanced control and private collaboration in healthcare clouds","authors":"John M. Pecarina, Shi Pu, Jyh-Charn S. Liu","doi":"10.1109/CloudCom.2012.6427488","DOIUrl":"https://doi.org/10.1109/CloudCom.2012.6427488","url":null,"abstract":"Existing cloud storage systems lack privacy aware architectures that meet accessibility goals for complex collaboration. This deficiency is fully realized in the healthcare industry, where cloud-enabling technology blurs the ownership boundary of health and wellness information. Whether among traditional `stovepiped' data silos, health information exchanges or personally controlled health information repositories, various forms of privacy neglect are common practice. We propose a paradigm shift in the interaction of users with cloud services that removes unwarranted trust in the cloud service provider and provisions accessibility for collaborators. To realize the paradigm shift, it is necessary to provide anonymity in data storage and separate the administration of access policy and authorization from the mechanisms used for enforcement. The dispensation of authorizations in the SAPPHIRE architecture bootstraps a traditional Kerberos ticket-based approach with `trust verifications'. In our evaluation, we prove the security properties of the SAPPHIRE architecture and implement a small scale prototype. Our analysis shows that SAPPHIRE is a viable extension of collaborative health information systems through the provision of anonymity and enhanced policy administration for the primary data owner.","PeriodicalId":430883,"journal":{"name":"4th IEEE International Conference on Cloud Computing Technology and Science Proceedings","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-12-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130723540","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

Stream processing with BigData: SSS-MapReduce 大数据流处理:SSS-MapReduce

4th IEEE International Conference on Cloud Computing Technology and Science Proceedings Pub Date : 2012-12-03 DOI: 10.1109/CloudCom.2012.6427499

H. Nakada, Hirotaka Ogawa, T. Kudoh

引用次数: 8

MANTICORE: A framework for partitioning software services for hybrid cloud MANTICORE:为混合云划分软件服务的框架

4th IEEE International Conference on Cloud Computing Technology and Science Proceedings Pub Date : 2012-12-03 DOI: 10.1109/cloudcom.2012.6427541

N. Kaviani, Eric Wohlstadter, R. Lea

引用次数: 30

QoS-aware dynamic research component composition for collaborative research projects in the clouds 面向云协作研究项目的qos感知动态研究组件组合

4th IEEE International Conference on Cloud Computing Technology and Science Proceedings Pub Date : 2012-12-03 DOI: 10.1109/CloudCom.2012.6427536

Ching-seh Wu, Ibrahim Khoury

{"title":"QoS-aware dynamic research component composition for collaborative research projects in the clouds","authors":"Ching-seh Wu, Ibrahim Khoury","doi":"10.1109/CloudCom.2012.6427536","DOIUrl":"https://doi.org/10.1109/CloudCom.2012.6427536","url":null,"abstract":"Research collaboration is very important for the success of any research project. However, due to the lack of communication, high cost of collaboration and heterogeneous platform implementation, researchers are not able to share scientific information and research project components especially with the large number of distributed research labs and institutes. To overcome those challenges an advanced computer model needs to be used to facilitate the share of research project components and research information between scientists; the advanced model is called cloud computing. Cloud computing offers researchers the capability to find, use and compose research project components remotely by offering the research project component as a service in SaaS layer. Furthermore, scientists can share research information between research partners using web service technology in DaaS layer. However, to use and compose research components, both a single service component and a series of research components that can support large-scale data demands need to be found. The process involves the integration of research components, which may be provided by different research institutes and labs. This paper aims to provide a QoS-based research component composition architecture for research collaboration in the cloud, based on distance based evolutionary algorithm. The algorithm will be able to compose and optimize research components according to multi-QoS attributes. Using multi domain with multi objective case study, we demonstrate the efficiency and effectiveness of the proposed technique and algorithm through experimental evaluation of component selection.","PeriodicalId":430883,"journal":{"name":"4th IEEE International Conference on Cloud Computing Technology and Science Proceedings","volume":"642 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-12-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131877726","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

Migration energy-aware workload consolidation in enterprise clouds 在企业云中迁移节能工作负载整合

4th IEEE International Conference on Cloud Computing Technology and Science Proceedings Pub Date : 2012-12-03 DOI: 10.1109/CloudCom.2012.6427570

Mohammad M. Hossain, Jen-Cheng Huang, H. Lee

引用次数: 21

Parallel distributed trajectory pattern mining using MapReduce 基于MapReduce的并行分布式轨迹模式挖掘

4th IEEE International Conference on Cloud Computing Technology and Science Proceedings Pub Date : 2012-12-03 DOI: 10.1109/CloudCom.2012.6427526

Ryota Jinno, Kazuhiro Seki, K. Uehara

引用次数: 8

A distributed application execution system for an infrastructure with dynamically configured networks 用于具有动态配置网络的基础设施的分布式应用程序执行系统

4th IEEE International Conference on Cloud Computing Technology and Science Proceedings Pub Date : 2012-12-03 DOI: 10.1109/CloudCom.2012.6427503

Ryousei Takano, H. Nakada, A. Takefusa, T. Kudoh

{"title":"A distributed application execution system for an infrastructure with dynamically configured networks","authors":"Ryousei Takano, H. Nakada, A. Takefusa, T. Kudoh","doi":"10.1109/CloudCom.2012.6427503","DOIUrl":"https://doi.org/10.1109/CloudCom.2012.6427503","url":null,"abstract":"We have been developing a middleware suite called GridARS that enables co-allocation of computing and network resources from multiple administration sites. In such middleware, it is important to provide each user application with a slice which is a set of dynamically allocated resources distributed across sites. However, there are the following issues in constructing such a slice automatically: 1) multi-site administration heterogeneity, 2) dynamic determination of application configuration information, 3) distributed resource monitoring, and 4) asymmetric network reachability. We design and implement an application execution system that provides each application with a slice, that mimics a conventional computing cluster system over the dynamically allocated resources. From the demonstration of the proposed system on an emulated wide area network environment, we confirmed that: first, the proposed system can fully automate resource allocation, slice construction, application invocation, and resource monitoring, in coordination with GridARS. Second, the proposed system can setup a slice quickly, even if the allocated resources are widely distributed and their communication latencies are high. This is because the overhead for gathering and distributing contextualization information is small, and OS-level virtualization and stackable file system technologies accelerate the contextualization process at each node.","PeriodicalId":430883,"journal":{"name":"4th IEEE International Conference on Cloud Computing Technology and Science Proceedings","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-12-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129456247","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