2014 IEEE International Conference on Cloud Engineering最新文献

Deploying PaaS for Accelerating Cloud Uptake in the Guifi Community Network 在贵飞社区网络中部署PaaS加速云吸收

2014 IEEE International Conference on Cloud Engineering Pub Date : 2014-03-11 DOI: 10.1109/IC2E.2014.53

Javi Jimenez, P. Garcia, Roger Baig, Felix Freitag, Leandro Navarro-Moldes

{"title":"Deploying PaaS for Accelerating Cloud Uptake in the Guifi Community Network","authors":"Javi Jimenez, P. Garcia, Roger Baig, Felix Freitag, Leandro Navarro-Moldes","doi":"10.1109/IC2E.2014.53","DOIUrl":"https://doi.org/10.1109/IC2E.2014.53","url":null,"abstract":"Community networks is an emerging model in which communities of citizens build and own open shared networks. But currently, cloud computing infrastructures, common in today's Internet, hardy exist in community networks. We present in this paper our approach for bringing clouds into community networks. The main element of our strategy for achieving cloud uptake is the deployment of the Guifi-Community-Distribution (GCODIS) on all cloud nodes, a distribution containing common services and applications. We argue in the paper the reasons why this approach is appropriate for the scenario of community networks, where the user acceptance needs to be gained. We show the steps and the on-going process with which we actually implement our approach in the Guifi community network. With these key elements in place, we conclude that we are closer to the vision that the users of community networks ultimately will not need to consume cloud applications from the Internet, but find them within the community network. An interesting open issue is to what extend our approach can be applied to the more generic volunteer computing scenario.","PeriodicalId":273902,"journal":{"name":"2014 IEEE International Conference on Cloud Engineering","volume":"98 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-03-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116152838","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: 11

Distributed Diversification of Large Datasets 大型数据集的分布式多样化

2014 IEEE International Conference on Cloud Engineering Pub Date : 2014-03-11 DOI: 10.1109/IC2E.2014.19

M. Hasan, A. Mueen, V. Tsotras

{"title":"Distributed Diversification of Large Datasets","authors":"M. Hasan, A. Mueen, V. Tsotras","doi":"10.1109/IC2E.2014.19","DOIUrl":"https://doi.org/10.1109/IC2E.2014.19","url":null,"abstract":"Diversification has been recently proposed as an approach to allow a user to better grasp a large result set without having to look through all relevant results. In this paper, we expand the use of diversification as an analytical tool to explore large datasets dispersed over many nodes. The diversification problem is in general NP-complete and existing uniprocessor algorithms are unfortunately not suitable for the distributed setting of our environment. Using the MapReduce framework we consider two distinct approaches to solve the distributed diversification problem, one that focuses on optimizing disk I/O and one that optimizes for network I/O. Our approaches are iterative in nature, allowing the user to continue refining the diversification process if more time is available. Moreover, we prove that (i) this iteration process converges and (ii) it produces a 2-approximate diversified result set when compared to the optimal solution. We also develop a cost model to predict the run-time for both approaches based on the network and disk characteristics. We implemented our approaches on a cluster of 40 cores and showed that they are scalable and produce the same quality results as the state-of-the-art uniprocessor algorithms.","PeriodicalId":273902,"journal":{"name":"2014 IEEE International Conference on Cloud Engineering","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-03-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116562609","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: 3

TIOSA: Testing VM Interoperability at an OS and Application Level -- A Hypervisor Testing Method and Interoperability Survey TIOSA:在操作系统和应用程序级别测试VM互操作性——一个管理程序测试方法和互操作性调查

2014 IEEE International Conference on Cloud Engineering Pub Date : 2014-03-11 DOI: 10.1109/IC2E.2014.21

Alexander Lenk, G. Katsaros, Michael Menzel, J. Rake, Ryan Skipp, E. Castro-Leon, P. GopanV.

引用次数: 13

An Information-Theoretic View of Cloud Workloads 云工作负载的信息论观点

2014 IEEE International Conference on Cloud Engineering Pub Date : 2014-03-11 DOI: 10.1109/IC2E.2014.73

L. Varshney, K. Ratakonda

引用次数: 4

Scalable Business Process Execution in the Cloud 云中的可伸缩业务流程执行

2014 IEEE International Conference on Cloud Engineering Pub Date : 2014-03-11 DOI: 10.1109/IC2E.2014.13

Seven Euting, Christian Janiesch, R. Fischer, S. Tai, I. Weber

引用次数: 26

A Scalable K-Anonymization Solution for Preserving Privacy in an Aging-in-Place Welfare Intercloud 一种可扩展的k -匿名化解决方案在原地老龄化福利互联云中保护隐私

2014 IEEE International Conference on Cloud Engineering Pub Date : 2014-03-11 DOI: 10.1109/IC2E.2014.43

Antorweep Chakravorty, T. Wlodarczyk, Chunming Rong

引用次数: 10

Cloud Platform Support for API Governance 对API治理的云平台支持

2014 IEEE International Conference on Cloud Engineering Pub Date : 2014-03-11 DOI: 10.1109/IC2E.2014.90

C. Krintz, Hiranya Jayathilaka, Stratos Dimopoulos, A. Pucher, R. Wolski, T. Bultan

引用次数: 10

Platform-level Support for Authorization in Cloud Services with OAuth 2 使用OAuth 2对云服务中的授权提供平台级支持

2014 IEEE International Conference on Cloud Engineering Pub Date : 2014-03-11 DOI: 10.1109/IC2E.2014.60

Jakub Sendor, Yann Lehmann, Gabriel Serme, Anderson Santana de Oliveira

引用次数: 22

Combining Declarative and Imperative Cloud Application Provisioning Based on TOSCA 结合基于TOSCA的声明式和命令式云应用程序供应

2014 IEEE International Conference on Cloud Engineering Pub Date : 2014-03-11 DOI: 10.1109/IC2E.2014.56

Uwe Breitenbücher, Tobias Binz, Kálmán Képes, Oliver Kopp, F. Leymann, Johannes Wettinger

引用次数: 125

Preservation of Security Configurations in the Cloud 在云中保存安全配置

2014 IEEE International Conference on Cloud Engineering Pub Date : 2014-03-11 DOI: 10.1109/IC2E.2014.14

A. Eghtesadi, Yosr Jarraya, M. Debbabi, M. Pourzandi

{"title":"Preservation of Security Configurations in the Cloud","authors":"A. Eghtesadi, Yosr Jarraya, M. Debbabi, M. Pourzandi","doi":"10.1109/IC2E.2014.14","DOIUrl":"https://doi.org/10.1109/IC2E.2014.14","url":null,"abstract":"The dynamic and elastic nature of cloud computing introduces new security challenges when it comes to maintaining consistent security configurations. This is emphasized by the fact that virtual machines are abruptly migrated between physical hosts, in the same or even in different data centers under different security policies. If security is not correctly enforced at the destination locations, and not properly updated in the source locations, security of the migrating virtual machine as well as the co-located machines can be compromised. In this paper, we intend to tackle this problem, specifically for intrusion detection/prevention and VPN/IPsec as main security mechanisms. More precisely, we propose a systematic verification approach to check the compliance of security configurations. To this end, we first elaborate on two properties, namely intrusion monitoring configuration preservation and VPN/IPsec protection configuration preservation. Then, we derive a set of formulas that compare security configurations before and after migration. This allows reasoning on whether the aforementioned security properties hold. To this end, we encode these formulas as constraint satisfaction problems. The obtained constraints are then submitted to a constraint solver, namely Sugar, in order to verify the properties and to pinpoint potential misconfiguration problems.","PeriodicalId":273902,"journal":{"name":"2014 IEEE International Conference on Cloud Engineering","volume":"36 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-03-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124072344","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