基于容器的具有版权保护特性的协同开发架构
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摘要
文章探究了通过使用容器构建文件Dockefile将多种应用集成到同一容器的自动化协同开发方法,基于海云分形架构,海端各应用程序的开发者只关注于自身应用的容器化方法,无法获得其他应用的代码以及算法等关键涉密信息,在云端各方的Dockerfile自动化集成为同一文件并构建成为第三方可信云平台内的容器镜像;云端的自动化集成有效的避免了不同领域不同归属不同部门协作中知识产权内容的泄露问题;并且,通过cadvisor等流量监控工具,可以获得容器内实际通过流量,计算各应用处理流量比例,合理分配收益,从技术方面避免合作成果的利益分配不均问题;第三方可信云平台由政府、科研机构或第三方相关专业机构等具有社会公信力的实体机构进行运营,从而保证云端数据的安全;通过海端、云端间的协同,实现基于容器的具有版权保护特性的增量式协同开发架构。
This paper explores the method that variety of applications integrated into the same container automated collaborative development framework by using the container configuration file Dockerfile,Haiyun fractal architecture based on method of sea container ends of the application developers only pay attention to their own applications,unable to get the secret key code of the other application and algorithm of information in Dockerfile automation cloud parties the integration for the same file which becomes a trusted third party cloud platform container mirror inside.Automatic integration of cloud effectively avoids the leakage of intellectual property rights in different areas,different ownership and different departments.And through the cadvisor and other flow monitoring tools,we can get the actual flow through the container,calculate the proportion of each application processing flow,reasonable distribution of revenue,and avoid the uneven distribution of benefits of cooperation results from the technical aspects.The third party trusted cloud platform is operated by the government,scientific research institutions or third party related professional agencies and other entities with social credibility,so as to ensure the security of cloud data.Through the collaboration between the sea side and the cloud,a container based incremental collaborative development framework with copyright protection characteristics is implemented.
This paper explores the method that variety of applications integrated into the same container automated collaborative development framework by using the container configuration file Dockerfile,Haiyun fractal architecture based on method of sea container ends of the application developers only pay attention to their own applications,unable to get the secret key code of the other application and algorithm of information in Dockerfile automation cloud parties the integration for the same file which becomes a trusted third party cloud platform container mirror inside.Automatic integration of cloud effectively avoids the leakage of intellectual property rights in different areas,different ownership and different departments.And through the cadvisor and other flow monitoring tools,we can get the actual flow through the container,calculate the proportion of each application processing flow,reasonable distribution of revenue,and avoid the uneven distribution of benefits of cooperation results from the technical aspects.The third party trusted cloud platform is operated by the government,scientific research institutions or third party related professional agencies and other entities with social credibility,so as to ensure the security of cloud data.Through the collaboration between the sea side and the cloud,a container based incremental collaborative development framework with copyright protection characteristics is implemented.
引文
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[3]Guan X,Wan X,Choi B Y,et al.Application Oriented Dynamic Resource Allocation for Data Centers Using Docker Containers[J].IEEE Communications Letters,2017,21(3):504-507.
[4]Azab A.Enabling Docker Containers for High-Performance and Many-Task Computing[A].IEEE International Conference on Cloud Engineering[C].IEEE,2017:279-285.
[5]Nathan S,Ghosh R,Mukherjee T,et al.CoMICon:A Co-Operative Management System for Docker Container Images[A].IEEE International Conference on Cloud Engineering[C].IEEE,2017.
[6]MoltóG,Caballer M,Pérez A,et al.Coherent Application Delivery on Hybrid Distributed Computing Infrastructures of Virtual Machines and Docker Containers[A].Euromicro International Conference on Parallel,Distributed and Network-Based Processing[C].IEEE,2017:486-490.
[7]Nardelli M.Elastic Allocation of Docker Containers in Cloud Environments[C].Zeus Workshop.2017.
[8]Stubbs J,Moreira W,Dooley R.Distributed Systems of Microservices Using Docker and Serfnode[A].International Workshop on Science Gateways[C].IEEE,2015:34-39.
[9]Cito J,Gall H C.Using docker containers to improve reproducibility in software engineering research[M].Web Engineering.Springer International Publishing,2016.
[10]Paraiso F,Challita S,Al-Dhuraibi Y,et al.Model-Driven Management of Docker Containers[A].IEEE,International Conference on Cloud Computing[C].IEEE,2017:718-725.
[11]Abdelbaky M,Diazmontes J,Parashar M,et al.Docker Containers across Multiple Clouds and Data Centers[A].Ieee/acm,International Conference on Utility and Cloud Computing[C].IEEE,2016.