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.

在云到边缘计算中收集和分析大量数据连续体提出了新的挑战。将所有这些数据集中在云数据中心中心不可行，不再可行，将大量数据归为云是耗时的，昂贵的，昂贵的，降级的性能，并可能引起安全问题。因此，出现了新颖的分布计算范式，例如边缘和雾计算，以支持处理数据更接近其原点。但是，这种超级分布的系统需要从根本上使用新方法。为了克服当前的集中应用管理方法的局限性，SwarmheStrate将基于自组织相互依赖的群体的概念，开发出一个完全新颖的分散应用程序级的编排者。应用微服务由分散的编排代理在动态的编排空间中管理，受分布式智能的约束，该智能提供了应用程序要求和资源之间的对接，并支持群体的动态自我组织。知识和信任对于编排领域的运作至关重要，将使用基于区块链的信任解决方案（SSI）和分布式标识符（DID）来管理基于区块链的信任解决方案。整个系统的端到端安全性将通过利用最先进的加密算法和保留数据分析的隐私性来确保。由于分散系统的迫在眉睫的复杂性，将开发新的模拟方法来测试和优化开发早期阶段的系统行为（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双胞胎，并通过预测反馈改善其行为。蜂群的概念将在预防洪水，停车空间管理，视频分析和数字化自然栖息地领域的四个现实生活示威者上进行原型。