Multi goal self-adaptation for micro-service platforms

云计算已经成为消费者和企业的首选软件平台。云部署为公共云、私有云或混合云，可提供灵活性、成本控制和可扩展性。混合云试图在私有云提供的安全、隐私和合规性与公共云提供的规模经济之间进行利用和平衡。该项目专注于部署在基于容器的混合云上的应用程序，并研究应用程序部署和管理模式，以及这些环境的高效和隐私保护弹性。我们考虑的应用类型是那些依赖于大数据技术的应用，这些技术在分析、物联网(IOT)或网络物理系统(CPS)等领域占据主导地位。该项目有以下长期目标：项目的第一个目标是研究和构建混合云上微服务的高效模型。微服务是驻留在容器中的小程序单元，而容器又是虚拟机中的部署单元。第二个目标是调查和评估运行时部署和优化算法，以在基于容器的混合云中实现高效的应用弹性。我们将专注于解决成本、性能和隐私问题的算法，并优化混合云中的微服务部署。第三个目标是调查、实施和评估私有云和公共云之间的数据分区技术。我们考虑NoSQL数据存储区和分析工作负载。

Cloud computing has become a software platform of choice for both consumers and business. Deployed as public, private or hybrid, a cloud provides flexibility, cost control and scalability. Hybrid clouds try to exploit and balance between the security, privacy and compliance offered by private clouds, and the economies of scale provided by public clouds. This project focuses on applications deployed on container-based hybrid clouds and investigates application deployment and management patterns, as well as efficient and privacy-preserving elasticity of those environments. The type of applications we consider are those that rely on big data technologies that dominate areas such as Analytics, Internet of Things (IOT), or cyber physical systems (CPS). The project has the following long-term goals: The first goal of the project is to research and build efficient models for micro-services on hybrid clouds. Micro-services are small units of program that reside in containers, which in turn are units of deployments in virtual machines. The second goal is to investigate and evaluate runtime deployment and optimization algorithms for efficient application elasticity in container-based hybrid clouds. We are going to focus on algorithms that address cost, performance and privacy and which optimize micro-service deployments in hybrid clouds. The third goal is to investigate, implement and evaluate techniques for data partitioning among private and public clouds. We consider NoSQL datastores and analytics workloads.