Application-level Swarm-based Orchestration Across the Cloud-to-Edge Continuum

跨云到边缘连续体的应用程序级基于群的编排

• 批准号: 10101169
• 金额: $ 74.03万
• 依托单位: UNIVERSITY OF WESTMINSTER
• 依托单位国家: 英国
• 项目类别: EU-Funded
• 财政年份: 2024
• 资助国家: 英国
• 起止时间: 2024 至 无数据
• 项目状态: 未结题
• 来源: https://gtr.ukri.org/projects?ref=10101169
• 关键词: Application; level; Swarm; based; Orchestration

Collecting and analysing large amounts of data in the Cloud-to-Edge computing continuum raises novel challenges. Processing all this data centrally in cloud data centresis not feasible anymore astransferring large amounts of data to the cloud istime-consuming, expensive, degrade performance and may raise security concerns. Therefore, novel distributed computing paradigms, such as edge and fog computing emerged to support processing data closer to its origin. However, such hyper-distributed systems require fundamentally new methods. To overcome the limitation of current centralised application management approaches, Swarmhestrate will develop a completely novel decentralised application-level orchestrator, based on the notion of self-organised interdependent Swarms. Application microservices are managed in a dynamic Orchestration Space by decentralised Orchestration Agents, governed by distributed intelligence that provides matchmaking between application requirements and resources, and supports the dynamic self-organisation of Swarms. Knowledge and trust, essential for the operation of the Orchestration Space, will be managed through blockchain-based trusted solutions using methods of Self-Sovereign Identities (SSI) and Distributed Identifiers (DID). End-to-end security of the overall system will be assured by utilising state-of-the-art cryptographic algorithms and privacy preserving data analytics. Due to the imminent complexity of the decentralised system, novel simulation approaches will be developed to test and optimise system behaviour (e.g., energy efficiency) in the early stages of development. Additionally, the simulator will be further extended into a digital twin running in parallel to the physical system and improving its behaviour with predictive feedback. The Swarmchestrate concept will be prototyped on four real-life demonstrators from the areas of flood prevention, parking space management, video analytics and a digital twin of natural habitat.

收集和分析云到边缘计算连续体中的大量数据提出了新的挑战。在云数据中心集中处理所有这些数据已不再可行，因为将大量数据传输到云既耗时又昂贵，会降低性能，并且可能会引起安全问题。因此，边缘计算和雾计算等新型分布式计算范式应运而生，以支持更接近其来源的数据处理。然而，这种超分布式系统需要全新的方法。为了克服当前集中式应用程序管理方法的局限性，Swarmhestrate 将基于自组织相互依赖 Swarm 的概念，开发一种全新的去中心化应用程序级编排器。应用程序微服务由分散的编排代理在动态编排空间中进行管理，由分布式智能进行管理，分布式智能提供应用程序需求和资源之间的匹配，并支持 Swarms 的动态自组织。对于编排空间的运营至关重要的知识和信任将通过基于区块链的可信解决方案使用自我主权身份（SSI）和分布式标识符（DID）的方法进行管理。通过利用最先进的加密算法和隐私保护数据分析，将确保整个系统的端到端安全性。由于去中心化系统迫在眉睫的复杂性，将开发新的模拟方法来在开发的早期阶段测试和优化系统行为（例如能源效率）。此外，模拟器将进一步扩展到与物理系统并行运行的数字孪生，并通过预测反馈改进其行为。 Swarmchestrate 概念将以来自防洪、停车位管理、视频分析和自然栖息地数字孪生领域的四个现实演示器为原型。