智能应用的智能连续体

Patrizio Dazzi
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引用次数: 0

摘要

计算连续体被认为是包含各种资源(从公共云到边缘设备)的计算实体的聚合。为了促进下一代智能应用的发展,我们必须超越这种限制性的观点。在这个主题演讲中,我们提出了“智能元连续体”的概念——一个目的驱动的、适应性强的连续体,能够毫不费力地合并分布式资源,以优化和可扩展的方式执行应用程序。元连续体集成了关键技术和架构的进步,如软件定义的基础设施、工作负载编排、微服务、虚拟化和边缘计算。利用这些支持因素,智能元连续体为当代分布式应用程序提供了一个灵活的基础,允许它们根据带宽、延迟、成本和可用性等因素优化它们的位置和资源利用,从而动态适应高度可变的条件。创新的编程和组织模型,比如参与者模型,在实现这一愿景中起着至关重要的作用。这些模型支持将应用程序分解为离散的、有状态的组件,这些组件可以跨元连续体进行智能交互。通过容器和无服务器计算等技术实现这些模型,使应用程序可以毫不费力地跨基础设施滑动。元连续体有望为智能城市、工业自动化、医疗保健和自治系统等领域的下一代应用带来巨大好处。通过无缝地整合从云到边缘的资源,应用程序可以实现低延迟、广泛分布、移动性、可伸缩性和成本效益。然而,为了充分释放其潜力,我们必须面对与互操作性、安全性、技能开发和组织转换相关的普遍挑战。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
An Intelligent Continuum for Intelligent Applications
The compute continuum is considered to be just an aggregation of computational entities encompassing a diverse array of resources, ranging from public clouds to edge devices. To facilitate the development of next-generation intelligent applications, we must transcend this restrictive perspective. In this keynote, we present the notion of an "intelligent meta-continuum" - a purpose-driven, adaptable continuum capable of effortlessly amalgamating distributed resources to execute applications in an optimized and scalable manner. The meta-continuum integrates pivotal technological and architectural advances, such as software-defined infrastructure, workload orchestration, microservices, virtualization, and edge computing. Harnessing these enablers, the intelligent meta-continuum offers a flexible foundation for contemporary distributed applications, allowing them to dynamically adapt to highly variable conditions by optimizing their placement and resource utilization based on factors such as bandwidth, latency, cost, and availability. Innovative programming and organizational models, such as the actor model, play a crucial role in actualizing this vision. These models enable the decomposition of applications into discrete, stateful components that intelligently interact across the meta-continuum. The implementation of such models through technologies like containers and serverless computing allows applications to glide effortlessly across infrastructures. The meta-continuum holds the promise of substantial benefits for next-generation applications in domains such as smart cities, industrial automation, healthcare, and autonomous systems. By seamlessly amalgamating resources from cloud to edge, applications can achieve low latency, extensive distribution, mobility, scalability, and cost-efficiency. To fully unlock its potential, however, we must confront prevailing challenges related to interoperability, security, skill development, and organizational transformation.
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