Microservices based Resource Management for next generation Cloud Computing paradigm

基于微服务的下一代云计算范式的资源管理

• 批准号: RGPIN-2021-04018
• 负责人: Agarwal, Anjali
• 金额: $ 2.04万
• 依托单位: Concordia University
• 依托单位国家: 加拿大
• 项目类别: Discovery Grants Program - Individual
• 财政年份: 2022
• 资助国家: 加拿大
• 起止时间: 2022-01-01 至 2023-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=752013
• 关键词: Microservices; based; Resource; Management; next

Interaction between interrelated computing devices has increased dramatically because of the continuous adoption of the 5G cellular network supporting IoT applications. End-user requirements are varying with different capabilities like proper response, optimal power cost, and QoS. Fog computing model emphasizes data access latency and geographical distribution for cloud resources. Edge computing transfers applications services, data and computing power from cloud data centers to closest points servicing end-user devices. The main weaknesses in these models are the type of management platforms, communication methods, and applications and services deployments including data update and consistency. Data and communication security, scalability, interface programmability, reliability, availability and serviceability are significant issues that challenge the development stages of the new IoT applications. Communication model and micro-services architecture between cloud component layers decouples between service components and makes task components as modular functionality. Micro-services must follow protocol standards that make resources access to public fast, safe and secure. As a result, a new enhanced cloud computing model has come up that combines edge and fog computing models leveraging from micro-services communicating between centralized resources embedded in cloud data centers and data sources of IoT embedded in edge and fog networks close to the end-user devices. The main challenges that must be investigated for the enhanced cloud computing paradigm are: 1.Network topology and its architecture, since existing dynamic software switches serve virtualized components. Cloud computing components change their location based on the cloud management system, which requires to make micro-services architecture and communication protocols agile and light as request and response model. 2.Resource and task management, which requires to identify user application demands and requirements to assign suitable resources to meet their expectations of latency, computation power, resource capacity, data size, and location. 3.Communication requests using micro-services must be coherent to data access security policies that can identify the tasks to run in the targeted servers with data or message contents reliability and trustiness. Workload deployment mechanisms need security management strategies to handle the users' applications reliability and availability, and privacy needs. This proposal attempts to address key research challenges related to the design and operation of efficient cross-layer resource management in the enhanced cloud computing paradigm, focusing on the user application demands that require micro-services satisfying user needs based on availability and in a trust-worthy architecture. The proposed research will be instrumental in balancing the resources and services within the cloud computing networks, including the end-user level.

相互关联的计算设备之间的相互作用由于支持物联网应用程序的5G细胞网络的连续采用而显着增加。最终用户的要求随着适当响应，最佳功率成本和QoS等功能而有所不同。雾计算模型强调了云资源的数据访问延迟和地理分布。边缘计算将应用程序，数据和计算能力从云数据中心转移到最接近的点服务最终用户设备。这些模型中的主要弱点是管理平台，通信方法以及应用程序和服务部署的类型，包括数据更新和一致性。数据和通信安全性，可扩展性，可编程性，可靠性，可用性和可维护性是挑战新物联网应用程序开发阶段的重要问题。 通信模型和微服务在云组件之间的体系结构将服务组件之间的分解并使任务组件作为模块化功能。微服务必须遵循协议标准，以使资源快速，安全和安全。结果，已经出现了一个新的增强云计算模型，结合了边缘和雾计算模型，从微服务中利用的微服务模型在嵌入云数据中心中嵌入的集中资源和嵌入在边缘和雾网中的物联网数据源之间的集中资源，并用户设备。对于增强的云计算范式必须研究的主要挑战是：1。网络拓扑及其架构，因为现有的动态软件开关服务于虚拟化组件。云计算组件基于云管理系统更改其位置，云管理系统需要将微服务架构和通信协议敏捷和照明作为请求和响应模型。 2.资源和任务管理，需要确定用户应用程序的需求和要求，以分配合适的资源，以满足其对延迟，计算功率，资源容量，数据规模和位置的期望。 3.使用Micro-Services的通信请求必须与数据访问安全策略相一致，以确定具有数据或消息内容的可靠性和可信度在目标服务器中运行的任务。工作负载部署机制需要安全管理策略来处理用户的应用程序可靠性和可用性以及隐私需求。该建议试图解决与增强云计算范式中有效跨层资源管理的设计和操作相关的关键研究挑战，重点介绍了用户应用程序的要求，需要根据可用性和信任度满足用户需求的微服务。值得建筑。拟议的研究将有助于平衡云计算网络中的资源和服务，包括最终用户级别。